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Search Results (212)

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29 pages, 13369 KiB  
Article
Cooperative Behavior of Prosumers in Integrated Energy Systems
by Natalia Aizenberg, Evgeny Barakhtenko and Gleb Mayorov
Mathematics 2024, 12(24), 4005; https://doi.org/10.3390/math12244005 - 20 Dec 2024
Viewed by 253
Abstract
The technical complexity of organizing energy systems’ operation has recently been compounded by the complexity of reconciling the interests of individual entities involved in interactions. This study proposes a possible solution to the problem of modeling their relationships within a large system. Our [...] Read more.
The technical complexity of organizing energy systems’ operation has recently been compounded by the complexity of reconciling the interests of individual entities involved in interactions. This study proposes a possible solution to the problem of modeling their relationships within a large system. Our solution takes into account multiple levels of interactions, imperfect information, and conflicting interests. We present a mathematical statement of the problem of optimal interactions between the centralized system and prosumers in the integrated energy system (IES) with due consideration of the layered architecture of the IES. The paper also contributes a model for arranging the interactions between centralized and distributed energy sources for cases when IES prosumers form coalitions. The implementation of this model is based on multi-agent techniques and cooperative game theory tools. In order to arrive at a rational arrangement of the interactions of prosumers in the IES, the model implements different approaches to the allocation of the coalition’s total payoff (the Shapley value, Modiclus, PreNucleolus solution concepts). Furthermore, we propose a criterion for deciding on the “best” imputation. We contribute a multi-agent system that implements the proposed model and use a test IES setup to validate the model by simulations. The results of the simulations ensure optimal interactions between the entities involved in the energy supply process within the IES and driven by their own interests. The results also elucidate the conditions that make it feasible for prosumers to form coalitions. Full article
(This article belongs to the Special Issue Mathematical Modeling and Applications in Industrial Organization)
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<p>Architecture of the multi-agent system.</p>
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<p>Schematic of the test integrated energy system.</p>
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<p>Simulation setup 2. Full cooperation: all prosumers interact with each other.</p>
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<p>Total generation of (<b>a</b>) electricity and (<b>b</b>) thermal energy.</p>
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<p>Payoff of prosumers involved in a coalition (relative to the case of no cooperation) depending on the solution concept.</p>
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<p>Generalized property ω of the solutions obtained for the Shapley value, Modiclus and PreNucleolus solution concepts in the two considered cases.</p>
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<p>Total cost of energy supply to prosumers involved in coalitions.</p>
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<p>Total heat generated.</p>
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<p>Electricity generated by centralized sources.</p>
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<p>Electricity generated by prosumers.</p>
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<p>Simulation setup 1. No cooperation: no prosumers interact with each other.</p>
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<p>Total cost of energy supply to four prosumers involved in coalitions.</p>
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<p>Electricity generated by prosumers.</p>
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<p>Total heat generated.</p>
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<p>Simulation setup 2. Full cooperation for four prosumers (the fifth one is disconnected): all prosumers interact with each other.</p>
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18 pages, 4796 KiB  
Article
Mutations of Key Functional Residues in CRM1/XPO1 Differently Alter Its Intranuclear Localization and the Nuclear Export of Endogenous Cargos
by Miren Josu Omaetxebarria, Maria Sendino, Liher Arrizabalaga, Irune Mota, Ana Maria Zubiaga and José Antonio Rodríguez
Biomolecules 2024, 14(12), 1578; https://doi.org/10.3390/biom14121578 - 10 Dec 2024
Viewed by 523
Abstract
CRM1 (XPO1) has been well-characterized as a shuttling receptor that mediates the export of protein and RNA cargos to the cytoplasm, and previous analyses have pinpointed several key residues (A541, F572, K568, S1055, and Q742) that modulate CRM1 export activity. CRM1 also has [...] Read more.
CRM1 (XPO1) has been well-characterized as a shuttling receptor that mediates the export of protein and RNA cargos to the cytoplasm, and previous analyses have pinpointed several key residues (A541, F572, K568, S1055, and Q742) that modulate CRM1 export activity. CRM1 also has a less studied nuclear function in RNA biogenesis, which is reflected by its localization to the Cajal body and the nucleolus. Here, we have investigated how the mutation of these key residues affects the intranuclear localization of CRM1 and its ability to mediate export of endogenous cargos. We identify A541K as a separation-of-function mutant that reveals the independent nature of the Cajal body and nucleolar localizations of CRM1. We also show that the F572A mutation may have strikingly opposite effects on the export of specific cargos. Importantly, and in contrast to previous claims, our findings indicate that S1055 phosphorylation is not generally required for CRM1 function and that the Q742 is not a function-defining residue in human CRM1. Collectively, our findings provide new insights into an understudied aspect of CRM1 biology and highlight several important issues related to CRM1 function and regulation that need to be re-evaluated and addressed in more detail. Full article
(This article belongs to the Collection Feature Papers in 'Biomacromolecules: Proteins')
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<p>CRM1 residues mutated in this study and experimental design. (<b>A</b>) Schematic representation of human CRM1 protein showing the position of the key residues and their mutations analyzed in this study. The aspects of CRM1 function and regulation where these residues are reportedly involved (NES binding, RanBP1 binding, acetylation, phosphorylation) are also indicated. (<b>B</b>) Workflow diagram illustrating the experimental design of the study. (*) Some experiments were also carried out in HEK293T cells.</p>
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<p>An LMB resistant, YFP-tagged version of CRM1 recapitulates the intranuclear localization of endogenous CRM1 in HeLa cells. (<b>A</b>) Confocal images showing representative examples of the localization of endogenous CRM1 (upper set of panels), YFP-CRM1 (middle set of panels) and LMB-resistant YFP-CRM1* (lower set of panels) in HeLa cells untreated (UT) or treated with the indicated drugs for 3 h. LMB was used at 6 ng/mL and ActD at 100 ng/mL. (<b>B</b>) Confocal images showing representative examples of the co-localization of YFP-CRM1 and YFP-CRM1* with the Cajal body (CB) marker coilin in the nucleus of HeLa cells untreated (UT) or treated with LMB. Zoom images show magnification of one selected CB (white square). (<b>C</b>) Confocal images showing representative examples of the localization of YFP-CRM1, YFP-CRM1*, and endogenous NMD3 in the nucleus of HeLa cells. YFP-CRM1 and YFP-CRM1* co-localize with NMD3 in the nucleoli of ActD-treated cells but not in untreated (UT) cells. Zoom images show magnification of one selected nucleolus (white square). In all the panels DAPI was used to stain the nuclei, and the scale bar represents 10 μm.</p>
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<p>CRM1 mutations differently alter the localization of the receptor to the Cajal body in HeLa cells. (<b>A</b>) Confocal images showing representative examples of the co-localization of the different YFP-CRM1* mutants with the CB marker coilin in the nucleus of untreated HeLa cells. “Wider field” panels are included to show a larger area of the cell cytoplasm. Arrowheads indicate the nucleus depicted in more detail in the panels below. Zoom images show magnification of one selected CB (white square). DAPI was used to stain the nuclei, and the scale bar represents 10 μm. (<b>B</b>) Graph showing the percentage of HeLa cells with CB localization of each YFP-CRM1* variant. Bars represent the mean of five independent experiments and error bars indicate standard deviation (SD). Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.s.: non-significant; (**) <span class="html-italic">p</span> &lt; 0.01. (<b>C</b>) Results of a representative experiment where the fluorescence intensity of each YFP-CRM1* variant at the CB and the nucleoplasm was quantified by image analysis using Fiji. The graph shows the CB/nucleoplasm intensity ratio. Each dot represents a single cell and the mean (+/− SD) is also shown. Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.s.: non-significant; (*) <span class="html-italic">p</span> &lt; 0.05; (****) <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) Table summarizing the normalized Cajal body score (Normalized CBscore) for each variant. This score was calculated from five independent experiments (at least 25 cells per condition were scored in each experiment), by multiplying the mean percentage of cells with CB localization by the mean CB/nucleoplasm fluorescence intensity ratio (see <a href="#app1-biomolecules-14-01578" class="html-app">Supplementary Table S1</a>). The score of each mutant was normalized to the score of wild type YFP-CRM1*, set at 100.</p>
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<p>CRM1 mutations differently alter the relocation of the receptor to the nucleolus in actinomycin D-treated HeLa cells. (<b>A</b>) Confocal images showing representative examples of the co-localization of the different YFP-CRM1* mutants with endogenous NMD3 in the nucleus of HeLa cells treated with ActD (100 ng/mL for 3 h). “Wider field” panels are included to show a larger area of the cell cytoplasm. Zoom images show magnification of one selected nucleolus (white square). DAPI was used to stain the nuclei, and the scale bar represents 10 μm. (<b>B</b>) Graph showing the percentage of HeLa cells with nucleolar localization of each YFP-CRM1* variant. Bars represent the mean of four independent experiments and error bars indicate standard deviation (SD). Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.s.: non-significant; (*) <span class="html-italic">p</span> &lt; 0.05. (<b>C</b>) Results of a representative experiment where the fluorescence intensity of each YFP-CRM1* variant at the nucleolus and the nucleoplasm was quantified by image analysis using Fiji. The graph shows the nucleolus/nucleoplasm intensity ratio. Each dot represents a single cell and the mean (+/− SD) is also shown. Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.a: not assessed; n.s.: non-significant; (***) <span class="html-italic">p</span> &lt; 0.001; (****) <span class="html-italic">p</span> &lt; 0.0001. (<b>D</b>) Table summarizing the normalized nucleolar relocation score (Normalized NOLscore) for each variant. This score was calculated from four independent experiments (at least 25 cells per condition were scored in each experiment) by multiplying the mean percentage of cells with nucleolar localization by the mean nucleolar/nucleoplasm fluorescence intensity ratio (see <a href="#app1-biomolecules-14-01578" class="html-app">Supplementary Table S1</a>). The score of each mutant was normalized to the score of wild type YFP-CRM1*, set at 100.</p>
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<p>Selection of endogenous cargos as markers to evaluate the nuclear export activity of CRM1 mutants. (<b>A</b>) Confocal images showing representative examples of the localization of four endogenous CRM1 cargos (NMD3, RanBP1, SQSTM1, and p65) in HeLa cells untreated (UT) or treated with LMB (6 ng/mL for 3 h). (<b>B</b>) Confocal images showing representative examples of the localization of these cargos in untransfected HeLa cells untreated (UT) or treated with LMB, as well as in LMB-treated transfected cells expressing low to moderate levels of YFP-CRM1*. DAPI was used to stain the nuclei, and the scale bar represents 10 μm.</p>
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<p>CRM1 mutations differently alter nuclear export of RanBP1. (<b>A</b>) Confocal images showing representative examples of the localization of endogenous RanBP1 in LMB-treated HeLa cells expressing low to moderate levels of each YFP-CRM1* variant. DAPI was used to stain the nuclei, and the scale bar represents 10 μm. (<b>B</b>) Graphs showing the nuclear to cytoplasmic (N/C) ratio of RanBP1 (upper section) and the intensity of the YFP fluorescence (lower section) in HeLa cells expressing the indicated YFP-CRM1* mutant. (<b>C</b>) Graphs showing the nuclear to total (N/total) ratio of RanBP1 (upper section) and the intensity of the YFP fluorescence (lower section) in HEK293T cells expressing the indicated YFP-CRM1* mutant. In B and C panels, each dot represents a single cell where both RanBP1 and YFP-CRM1* fluorescence intensity were determined by image analysis using Fiji. The horizontal lines indicate the mean, and error bars represent SD. Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.s.: non-significant; (*) <span class="html-italic">p</span> &lt; 0.05; (***) <span class="html-italic">p</span> &lt; 0.001; (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>CRM1 mutations differently alter the nuclear export of p65. (<b>A</b>) Confocal images showing representative examples of the localization of endogenous p65 in LMB-treated HeLa cells expressing low to moderate levels of each YFP-CRM1* variant. DAPI was used to stain the nuclei, and the scale bar represents 10 μm. (<b>B</b>) Graphs showing the nuclear to cytoplasmic (N/C) ratio of p65 (upper section) and the intensity of the YFP fluorescence (lower section) in HeLa cells expressing the indicated YFP-CRM1* mutant. (<b>C</b>) Graphs showing the nuclear to total (N/total) ratio of p65 (upper section) and the intensity of the YFP fluorescence (lower section) in HEK293T cells expressing the indicated YFP-CRM1* mutant. In B and C panels, each dot represents a single cell where both p65 and YFP-CRM1* fluorescence intensity were determined by image analysis using Fiji. The horizontal lines indicate the mean, and error bars represent SD. Student’s <span class="html-italic">t</span> test was used to compare each mutant to the WT. n.s.: non-significant; (**) <span class="html-italic">p</span> &lt; 0.01; (***) <span class="html-italic">p</span> &lt; 0.001; (****) <span class="html-italic">p</span> &lt; 0.0001.</p>
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12 pages, 2371 KiB  
Article
Bioinformatic Analysis of Actin-Binding Proteins in the Nucleolus During Heat Shock
by Shinya Taniguchi, Takeru Torii, Toshiyuki Goto, Kohei Takeuchi, Rine Katsumi, Mako Sumida, Sunmin Lee, Wataru Sugimoto, Masaya Gessho, Katsuhiko Itoh, Hiroaki Hirata, Junji Kawakami, Daisuke Miyoshi and Keiko Kawauchi
Genes 2024, 15(12), 1580; https://doi.org/10.3390/genes15121580 - 9 Dec 2024
Viewed by 693
Abstract
Background/Objectives: Actin plays a crucial role not only in the cytoplasm, but also in the nucleus, influencing various cellular behaviors, including cell migration and gene expression. Recent studies reveal that nuclear actin dynamics is altered by cellular stresses, such as DNA damage; however, [...] Read more.
Background/Objectives: Actin plays a crucial role not only in the cytoplasm, but also in the nucleus, influencing various cellular behaviors, including cell migration and gene expression. Recent studies reveal that nuclear actin dynamics is altered by cellular stresses, such as DNA damage; however, the effect of heat shock on nuclear actin dynamics, particularly in the nucleolus, remains unclear. This study aims to elucidate the contribution of nucleolar actin to cellular responses under heat shock conditions. Methods: Nuclear actin dynamics in response to heat shock were investigated using nAC-GFP, a GFP-tagged actin chromobody, to visualize nuclear actin in HeLa cells. Bioinformatic analyses were also performed. Results: Heat shock induced the reversible assembly of nAC-GFP in the nucleolus, with disassembly occurring upon recovery in a heat shock protein (Hsp) 70-dependent manner. Because the nucleolus, formed via liquid–liquid phase separation (LLPS), sequesters misfolded proteins under heat shock to prevent irreversible aggregation, we hypothesized that nucleolar actin-binding proteins might also be sequestered in a similar manner. Using several databases, we identified 47 actin-binding proteins localized in the nucleolus and determined the proportion of intrinsically disordered regions (IDRs) known to promote LLPS. Our analysis revealed that many of these 47 proteins exhibited high levels of IDRs. Conclusions: The findings from our bioinformatics analysis and further cellular studies may help elucidate new roles for actin in the heat shock response. Full article
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<p><b>Heat shock induces nAC-GFP assembly in the nucleolus.</b> HeLa cells were transfected with the nAC-GFP expression vector and treated with heat shock (42 °C for 60 min). Confocal images of nAC-GFP (green), FBL (red), NPM1 (magenta), and DNA (blue). Scale bar = 10 μm.</p>
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<p><b>The reversibility of heat shock-induced nAC-GFP assembly is suppressed by the inhibition of Hsp70.</b> HeLa cells were transfected with nAC-GFP expression vector and then treated with heat shock (42 °C for 60 min), followed by recovery at 37 °C. (<b>a</b>) The nAC-GFP assembly was observed over 60 min by confocal microscopy with time-lapse imaging. Confocal images of nAC-GFP (green) and DIC (grey) are shown. Scale bar = 10 μm. (<b>b</b>) Hsp70 inhibitor VER-155008 (VER; 50 μM) was added to the culture medium immediately before recovery at 37 °C. After 90 min of incubation at 37 °C, the cells were fixed. Confocal images of nAC-GFP (green) and DAPI (blue) are shown. Scale bar = 20 μm.</p>
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<p><b>Prediction of actin-binding proteins localized to the nucleolus under heat shock conditions.</b> (<b>a</b>) The workflow of bioinformatic analysis in this study. The datasets of actin-binding proteins and nucleolus localized proteins were filtered from UniProtKB and a nucleolus gene set of LOCATE-curated protein localization annotations (Harmonizome 3.0), respectively. In this study, proteomic data (LS-MS/MS) of human melanoma M14 cells under heat shock conditions were obtained from gene expression omnibus (GEO) and re-profiled. Protein 3D structures were predicted using AlphaFold2and AlphaFold-Multimer. (<b>b</b>) The Venn diagram illustrates the overlap of actin-binding proteins (2981 proteins, blue) and nucleolus-localized proteins (648 proteins, green). From this set, the gene names of 47 proteins common to both actin-binding and nucleolus-localized proteins were identified. Additionally, the Venn diagram includes proteins whose expression levels increased by more than 1.5-fold upon heat shock treatment (278 proteins, orange). (<b>c</b>) The IDRs in 47 proteins extracted by (<b>b</b>) were analyzed by using IUPred2A. The high disorder regions in this study were defined as amino acid region in which disorder score is higher than 0.5. The X axis indicates the percentage of high disorder regions to the entire amino acid sequence. FBL is not classified as an actin-binding protein; but it was employed as a nucleolar IDR protein indicator. Note that TRIOBP * indicates the longest isoform TRIOBP-6.</p>
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<p>Prediction of IDRs and three-dimensional structures of PDLIM7 and TRIOBP. The left graph indicates plots the accurate IDR predictions for PDLIM7, TRIOBP-1, TRIOBP-4, and TRIOBP-5, as determined by IUPred2A. The X- and Y-axes represent the position of the peptide chain in the protein and the disorder score, which indicates the degree of IDR, respectively. Regions with a disorder score of 0.5 or above indicate a high probability of being disordered regions. The right panels show the three-dimensional structure of the proteins predicted using AlphaFold2 and AlphaFold-Multimer. The color scale shows the predicted local distance difference test (pLDDT) score, which is a measure of prediction accuracy for each amino acid residue.</p>
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13 pages, 712 KiB  
Article
Oxidative Status and Lipid Metabolism Analytes in Dogs with Mast Cell Tumors: A Preliminary Study
by Argyrios Ginoudis, Dimitra Pardali, Mathios E. Mylonakis, Androniki Tamvakis, Asta Tvarijonaviciute, Evgenia Lymperaki, Jose Joaquin Ceron and Zoe Polizopoulou
Antioxidants 2024, 13(12), 1473; https://doi.org/10.3390/antiox13121473 - 29 Nov 2024
Viewed by 498
Abstract
Mast cell tumors (MCTs) are common skin neoplasms in dogs. Prognostic indicators include histologic grade, clinical stage, high Ki-67 index, elevated argyrophilic nucleolus organizer regions (AgNOR) index, c-kit mutations, and recurrence after surgery. Blood serum redox status has been shown to correlate with [...] Read more.
Mast cell tumors (MCTs) are common skin neoplasms in dogs. Prognostic indicators include histologic grade, clinical stage, high Ki-67 index, elevated argyrophilic nucleolus organizer regions (AgNOR) index, c-kit mutations, and recurrence after surgery. Blood serum redox status has been shown to correlate with prognostic factors in canine lymphoma and mammary tumors. This study aimed to assess the correlation between established prognostic factors and serum redox status and lipid metabolism analytes in dogs with MCTs. Dogs with cutaneous (n = 33) or subcutaneous (n = 6) MCTs, without comorbidities, were studied. Staging was evaluated based on cytology of regional lymph nodes and ultrasound-guided liver and spleen aspiration cytology. Histologic grading and immunohistochemical staining for Ki-67 and KIT patterns were performed on excised tumor specimens. Dogs were categorized by Patnaik grading (1–3), Kiupel grading (low/high), metastatic status, Ki-67 positive nuclei per cm2 (>23 or ≤23), and KIT pattern (I, II–III). Paraoxonase-1, Butyrylcholinesterase, Cupric Reducing Antioxidant Capacity (CUPRAC), Diacron Reactive Oxygen Metabolites (d-ROMs), and oxy-adsorbent levels were measured before any therapeutic intervention. ANOVA and independent t-tests were used to detect differences in the mean values among groups. Paraoxonase-1 activity was significantly lower in Patnaik grade 3 (p = 0.003) and Kiupel high-grade (p = 0.022) MCTs. No significant differences were found in CUPRAC, d-ROMs, or oxy-adsorbent levels across different prognostic groups. This study found a significant correlation between histologic grading and Paraoxonase-1 activity, suggesting a potential role of Paraoxonase-1 as a prognostic biomarker in canine MCTs. Full article
(This article belongs to the Special Issue Antioxidant Role of High-Density Lipoprotein)
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<p>Boxplot illustrating Paraoxonase-1 (PON-1) activity in dogs with cutaneous (<span class="html-italic">n</span> = 33) mast cell tumors (MCTs) categorized by Kiupel histologic grading. A total of 25 dogs had low-grade MCTs, and 8 had high-grade MCTs. The mean PON-1 activity was significantly lower in high-grade MCTs compared to low-grade MCTs (<span class="html-italic">p =</span> 0.022).</p>
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<p>Boxplot illustrating Paraoxonase-1 (PON-1) activity in dogs with cutaneous (<span class="html-italic">n</span> = 33) mast cell tumors (MCTs) categorized by Patnaik histologic grading. In total, 1 dog had a grade 1 MCT, 25 had grade 2 MCTs, and 7 had grade 3 MCTs. The mean PON-1 activity was significantly lower in grade 3 MCTs (<span class="html-italic">p</span> = 0.003).</p>
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31 pages, 4693 KiB  
Review
Decoding the Nucleolar Role in Meiotic Recombination and Cell Cycle Control: Insights into Cdc14 Function
by Paula Alonso-Ramos and Jesús A. Carballo
Int. J. Mol. Sci. 2024, 25(23), 12861; https://doi.org/10.3390/ijms252312861 - 29 Nov 2024
Viewed by 631
Abstract
The cell cycle, essential for growth, reproduction, and genetic stability, is regulated by a complex network of cyclins, Cyclin-Dependent Kinases (CDKs), phosphatases, and checkpoints that ensure accurate cell division. CDKs and phosphatases are crucial for controlling cell cycle progression, with CDKs promoting it [...] Read more.
The cell cycle, essential for growth, reproduction, and genetic stability, is regulated by a complex network of cyclins, Cyclin-Dependent Kinases (CDKs), phosphatases, and checkpoints that ensure accurate cell division. CDKs and phosphatases are crucial for controlling cell cycle progression, with CDKs promoting it and phosphatases counteracting their activity to maintain balance. The nucleolus, as a biomolecular condensate, plays a key regulatory role by serving as a hub for ribosome biogenesis and the sequestration and release of various cell cycle regulators. This phase separation characteristic of the nucleolus is vital for the specific and timely release of Cdc14, required for most essential functions of phosphatase in the cell cycle. While mitosis distributes chromosomes to daughter cells, meiosis is a specialized division process that produces gametes and introduces genetic diversity. Central to meiosis is meiotic recombination, which enhances genetic diversity by generating crossover and non-crossover products. This process begins with the introduction of double-strand breaks, which are then processed by numerous repair enzymes. Meiotic recombination and progression are regulated by proteins and feedback mechanisms. CDKs and polo-like kinase Cdc5 drive recombination through positive feedback, while phosphatases like Cdc14 are crucial for activating Yen1, a Holliday junction resolvase involved in repairing unresolved recombination intermediates in both mitosis and meiosis. Cdc14 is released from the nucleolus in a regulated manner, especially during the transition between meiosis I and II, where it helps inactivate CDK activity and promote proper chromosome segregation. This review integrates current knowledge, providing a synthesis of these interconnected processes and an overview of the mechanisms governing cell cycle regulation and meiotic recombination. Full article
(This article belongs to the Special Issue Cell Division: A Focus on Molecular Mechanisms)
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<p>Cell cycle in eukaryotic cells. The four phases of the cell cycle, G<sub>1</sub>, S, G<sub>2</sub>, and M, and the main functions that take place in them are represented. The main checkpoints are also shown, as well as the main cyclins that act during the cycle.</p>
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<p>Diagram of the phases of meiosis and their regulation in <span class="html-italic">S. cerevisiae</span>. The nucleolus is represented in pink, the nucleus is in blue, and the SC is represented by its Zip1 component in yellow. The SPBs are represented by a blue square and the tubulin by a yellow rectangle. Arrows represent promotion of processes, while T-bars indicate prevention or inhibition.</p>
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<p>Variation in CDK activity levels of both S phase CDKs (S-CDKs) and M phase CDKs (M-CDKs). The arrows indicate the progression of meiosis, together with the cyclins that are acting at each point in time.</p>
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<p>Diagram of the structure of the synaptonemal complex.</p>
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<p>Models of nucleolus organization: (<b>A</b>) organization of the nucleolus of an <span class="html-italic">S. cerevisiae</span>; (<b>B</b>) organization of the nucleolus of a eukaryotic cell. The three subcompartments of the nucleolus are depicted: the fibrillar center, the dense fibrillar component, and the granular component.</p>
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<p>Schematic of the three models of organization of the membrane-less subcompartments. The nucleolus can be explained as a combination of the PPPS and LLPS model.</p>
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<p>Schematic representation of the recombination process in <span class="html-italic">S. cerevisiae</span>.</p>
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<p>Domains and structure of Cdc14 phosphatase. (<b>A</b>) Schematic representation of the structure of Cdc14, with its main domains and binding sites. The phosphatase domain, the NES (nuclear export signal) and NLS (nuclear localization signal) region, and the 408,494,517 phosphorylation sites are shown. (<b>B</b>) Alphafold prediction model for Cdc14. Colors indicate the different functional motifs described in (<b>A</b>).</p>
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<p>Role of Cdc14 in mitosis. The FEAR network initiates the early release of Cdc14, followed by the MEN pathway, which regulates its final release, enabling the dephosphorylation events crucial for completing mitosis. The large blue circle represents the nucleolus, with colors indicating key proteins involved in repressing Cdc14 release. The figure illustrates the two-wave pathway required for Cdc14 release, showing how the first wave also activates the MEN network. The right part displays how Cdc14, through Cdh1, Sic1, and Swi5, inactivates CDKs. The bottom of the figure shows how different mitotic phases correspond with the two waves of Cdc14 release.</p>
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<p>Schematic of Cdc14 regulation during mitosis via the FEAR and MEN pathways. The figure shows the early, partial release of Cdc14 from the nucleolus (blue circle) by the FEAR network, followed by its complete release through the MEN pathway. Proteins are depicted as circles, while proteins requiring a cofactor are represented as squares divided into two binding parts. The figure also illustrates CDK phosphorylation stages during Cdc14 release and the active or inactive states of Cdc14 throughout different mitotic phases.</p>
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<p>Schematic representation of Cdc14 release during the first and second meiotic divisions. The figure shows the key regulators and inhibitors required for Cdc14 release in meiosis I (top panel), along with variations in cyclin levels. Arrows indicate increases or decreases in cyclin levels, with multiple arrows representing a stronger effect. An oblique arrow pointing up denotes a progressive increase in cyclin levels, while the “=” symbol indicates no change. These adjustments lead to a downregulation of CDK activity. In meiosis II (bottom panel), the role of the FEAR pathway in Cdc14 release is uncertain (noted as FEAR??). Cyclin level changes are similarly depicted, illustrating how they contribute to CDK activity downregulation.</p>
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17 pages, 3387 KiB  
Article
RNA Sequencing and Weighted Gene Co-Expression Network Analysis Highlight DNA Replication and Key Genes in Nucleolin-Depleted Hepatoblastoma Cells
by Hannes Steinkellner, Silvia Madritsch, Mara Kluge, Teresa Seipel, Victoria Sarne, Anna Huber, Markus Schosserer, Raimund Oberle, Winfried Neuhaus, Alexander V. Beribisky and Franco Laccone
Genes 2024, 15(12), 1514; https://doi.org/10.3390/genes15121514 - 26 Nov 2024
Viewed by 1061
Abstract
Background/objectives: Nucleolin is a major component of the nucleolus and is involved in various aspects of ribosome biogenesis. However, it is also implicated in non-nucleolar functions such as cell cycle regulation and proliferation, linking it to various pathologic processes. The aim of this [...] Read more.
Background/objectives: Nucleolin is a major component of the nucleolus and is involved in various aspects of ribosome biogenesis. However, it is also implicated in non-nucleolar functions such as cell cycle regulation and proliferation, linking it to various pathologic processes. The aim of this study was to use differential gene expression analysis and Weighted Gene Co-expression Network analysis (WGCNA) to identify nucleolin-related regulatory pathways and possible key genes as novel therapeutic targets for cancer, viral infections and other diseases. Methods: We used two different siRNAs to downregulate the expression of nucleolin in a human hepatoblastoma (HepG2) cell line. We carried out RNA-sequencing (RNA-Seq), performed enrichment analysis of the pathways of the differentially expressed genes (DEGs) and identified protein–protein interaction (PPI) networks. Results: Both siRNAs showed high knockdown efficiency in HepG2 cells, resulting in the disruption of the nucleolar architecture and the downregulation of rRNA gene expression, both downstream hallmarks of a loss of nucleolin function. RNA-Seq identified 44 robust DEGs in both siRNA cell models. The enrichment analysis of the pathways of the downregulated genes confirmed the essential role of nucleolin in DNA replication and cell cycle processes. In addition, we identified seven hub genes linked to NCL: MCM6, MCM3, FEN1, MYBL2, MSH6, CDC6 and RBM14; all are known to be implicated in DNA replication, cell cycle progression and oncogenesis. Conclusions: Our findings demonstrate the functional consequences of nucleolin depletion in HepG2 and confirm the importance of nucleolin in DNA replication and cell cycle processes. These data will further enhance our understanding of the molecular and pathologic mechanisms of nucleolin and provide new therapeutic perspectives in disease. Full article
(This article belongs to the Special Issue Bioinformatics of Human Diseases)
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<p>siRNA-mediated downregulation of nucleolin in HepG2 cells. HepG2 cells were seeded onto 24-well plates and were treated with 10 nM concentrations of two different nucleolin-targeting siRNAs (NCL06, NCL07) and 10 nM non-targeting-siRNA (NT). (<b>A</b>) Western blot analysis was performed on protein extracts from transfected cells after 72 h using anti-NCL antibodies for nucleolin detection. Data were normalized to GAPDH in reference to non-targeting control. Results are expressed as mean ± SD of three different experiments. (<b>B</b>) After 48 h of transfection, total RNA was extracted from cells and used for qRT-PCR with <span class="html-italic">NCL-</span> or <span class="html-italic">GAPDH</span>-specific primers. Data were normalized to <span class="html-italic">GAPDH</span> and are shown as % of NT-transfected cells. (<b>C</b>) HepG2 cells were seeded on glass slides and analyzed by immunofluorescence after 72 h of siRNA transfection (NT, NCL06 and NCL07) using anti-NCL antibody (red). DNA was counterstained with DAPI (blue). Scale: 20 µm.</p>
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<p>Nucleolar structure of nucleolin-depleted cells. (<b>A</b>) Total RNA from transfected cells was used to analyze expression levels of <span class="html-italic">5S</span>, <span class="html-italic">5.8S</span>, <span class="html-italic">18S</span>, <span class="html-italic">28S</span> and <span class="html-italic">45S</span> rRNA via qRT-PCR using specific primers. Data were normalized to GAPDH in reference to non-targeting control. Results are expressed as mean ± SD of three different experiments. (<b>B</b>) Representative images of NCL06-mediated NCL knockdown compared to NT-siRNA-treated cells stained with anti-B23 (GC, yellow), anti-fibrillarin (DFC, green) and anti-UBTF (FC, red). Nucleus was counterstained with DAPI (blur). Scale: 5 µm. For inhibition of POL I, cells were treated with 50 ng/mL ActD for 2 h and imaged with confocal microscope Leica SP8 (DMI6000, Leica microsystems).</p>
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<p>Differential gene expression in nucleolin-deficient cells. DEGs were screened with false discovery rate &lt; 0.05 of DESeq2 using fold change above 1.2 or below 0.83. Total of 44 genes showed significant changes, of which 22 were upregulated and 22 genes were downregulated as presented by pie chart (<b>A</b>). Heatmap (<b>B</b>) and Volcano plot (<b>C</b>) of DEGs between NCL-06, NCL-07 and non-targeting siRNA. Red dots represent expression of genes in NCL-knockdown cells, which are upregulated compared to non-targeting siRNA (NT). Blue dots represent expression of genes in NCL-deficient HepG2 cells, significantly downregulated compared to non-targeting (NT) control. (<b>D</b>) qRT-PCR of four randomly selected genes to validate DEGs obtained from RNA Seq. Total RNA from transfected cells was used to analyze expression levels of <span class="html-italic">HGSNAT</span>, <span class="html-italic">FEN1</span>, <span class="html-italic">RBM14</span> and <span class="html-italic">DDC8</span> mRNA via qRT-PCR using specific primers. Data were normalized to <span class="html-italic">GAPDH</span> in reference to non-targeting control.</p>
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<p>KEGG and GO enrichment analysis of downregulated DEGs in nucleolin-depleted cells. (<b>A</b>) KEGG pathway analysis of DEGs using false discovery rate (FDR) &lt; 0.05. (<b>B</b>) List of 22 significantly downregulated genes from DESeq2 analysis (in blue). Intensity of blue color represents level of <span class="html-italic">p</span>-value and log2Fc of each gene in DEG list. (<b>C</b>) KEGG pathway analysis of 22 downregulated DEGs using FDR &lt; 0.05. (<b>D</b>,<b>E</b>) GO enrichment analysis of downregulated DEGs in molecular function (<b>D</b>) and biological process (<b>E</b>) groups. Each term is ranked according to degree of significance, indicated by −log10 (<span class="html-italic">p</span>-value).</p>
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<p>PPI network diagram and hub genes in NCL-depleted cells. (<b>A</b>) Protein–protein interaction analysis (STRING) from 44 DEGs; nodes represent proteins and edges represent PPIs. Thicker edge line corresponds to higher confidence score. (<b>B</b>) CytoScape with cytoHubba plugin and MCODE analysis was used to determine hub genes in NCL-depleted cells.</p>
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17 pages, 2611 KiB  
Article
A Coordinated Bidding Strategy of Wind Power Producers and DR Aggregators Using a Cooperative Game Approach
by Xuemei Dai, Shiyuan Zheng, Haoran Chen and Wenjun Bi
Appl. Sci. 2024, 14(22), 10699; https://doi.org/10.3390/app142210699 - 19 Nov 2024
Viewed by 498
Abstract
The purpose of this paper is to analyze the profitability of wind energy and demand response (DR) resources participating in the energy and frequency regulation markets. Since wind power producers (WPPs) must reduce their output to provide up-regulation and DR aggregators (DRAs) have [...] Read more.
The purpose of this paper is to analyze the profitability of wind energy and demand response (DR) resources participating in the energy and frequency regulation markets. Since wind power producers (WPPs) must reduce their output to provide up-regulation and DR aggregators (DRAs) have to purchase additional power to facilitate down-regulation, this may result in revenue loss. If WPPs coordinate with DRAs, these two costs could be reduced. Thus, it would be profitable for WPPs and DRAs to form a coalition to participate in the regulation market. To better utilize the frequency response characteristics of wind and DR resources, this paper proposes a cooperation scheme to optimize the bidding strategy of the coalition. Furthermore, cooperative game theory methods, including Nucleolus- and Shapley-value-based models, are employed to fairly allocate additional benefits among WPPs and DRAs. The uncertainties associated with wind power and the behavior of DR customers are modeled through stochastic programming. In the optimization process, the decision-maker’s attitude toward risks is considered using conditional value at risk (CVaR). Case studies demonstrate that the proposed bidding strategy can improve the performance of the coalition and lead to higher benefits for both WPPs and DRAs. Specifically, the expected revenue of the coordinated strategies increased by 12.1% compared to that of uncoordinated strategies. Full article
(This article belongs to the Special Issue State-of-the-Art of Power Systems)
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<p>Wind and DR resource cooperation scheme.</p>
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<p>The flowchart for the proposed bidding strategies.</p>
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<p>Wind power data for a sample day.</p>
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<p>Expected hourly prices in energy and regulation markets.</p>
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<p>Total expected profit in each case.</p>
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<p>The expected profits from each market.</p>
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<p>Comparison of individual and integrated bidding strategies for WPP and DRA, (<b>a</b>) results of Case S2, (<b>b</b>) results of Case S4, (<b>c</b>) results of Case S6.</p>
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<p>Daily profit over 1 week.</p>
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<p>Expected profit and CVaR for different β, (<b>a</b>) expected profit versus CVaR for Case 1, (<b>b</b>) expected profit versus CVaR for Case 2, (<b>c</b>) expected profit versus CVaR for Case 3.</p>
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18 pages, 18326 KiB  
Article
Combined Analysis of Metabolomics and Transcriptome Revealed the Effect of Bacillus thuringiensis on the 5th Instar Larvae of Dendrolimus kikuchii Matsumura
by Jinyan Li, Qiang Guo, Bin Yang and Jielong Zhou
Int. J. Mol. Sci. 2024, 25(21), 11823; https://doi.org/10.3390/ijms252111823 - 4 Nov 2024
Cited by 1 | Viewed by 675
Abstract
Dendrolimus kikuchii Matsumura (D. kikuchii) is a serious pest of coniferous trees. Bacillus thuringiensis (Bt) has been widely studied and applied as a biological control agent for a variety of pests. Here, we found that the mortality rate of [...] Read more.
Dendrolimus kikuchii Matsumura (D. kikuchii) is a serious pest of coniferous trees. Bacillus thuringiensis (Bt) has been widely studied and applied as a biological control agent for a variety of pests. Here, we found that the mortality rate of D. kikuchii larvae after being fed Bt reached 95.33% at 24 h; the midgut membrane tissue was ulcerated and liquefied, the MDA content in the midgut tissue decreased and the SOD, CAT and GPx enzyme activities increased, indicating that Bt has toxic effects on D. kikuchii larvae. In addition, transmission electron microscopy showed that Bt infection caused severe deformation of the nucleus of the midgut tissue of D. kikuchii larvae, vacuoles in the nucleolus, swelling and shedding of microvilli, severe degradation of mitochondria and endoplasmic reticulum and decreased number. Surprisingly, metabolomics and transcriptome association analysis revealed that four metabolic-related signaling pathways, Nicotinate and nicotinamide metabolism, Longevity regulating pathway—worm, Vitamin digestion and absorption and Lysine degradation, were co-annotated in larvae. More surprisingly, Niacinamide was a common differential metabolite in the first three signaling pathways, and both Niacinamide and L-2-Aminoadipic acid were reduced. The differentially expressed genes involved in the four signaling pathways, including NNT, ALDH, PNLIP, SETMAR, GST and RNASEK, were significantly down-regulated, but only SLC23A1 gene expression was up-regulated. Our results illustrate the effects of Bt on the 5th instar larvae of D. kikuchii at the tissue, cell and molecular levels, and provide theoretical support for the study of Bt as a new biological control agent for D. kikuchii. Full article
(This article belongs to the Special Issue Recent Research on Cell and Molecular Biology)
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<p>Introduction of <span class="html-italic">D. kikuchii</span>. (<b>A</b>) Distribution of <span class="html-italic">D. kikuchii</span> in China. (<b>B</b>) Life history of <span class="html-italic">D. kikuchii</span> [<a href="#B4-ijms-25-11823" class="html-bibr">4</a>].</p>
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<p>Toxic effects of <span class="html-italic">Bt</span> on the 5th instar larvae of <span class="html-italic">D. kikuchii</span>. (<b>A</b>) After eating pine needles soaked in PBS/<span class="html-italic">Bt</span> bacterial solution, the mortality rate of the 5th instar larvae of <span class="html-italic">D. kikuchii</span> was changed at CK, <span class="html-italic">Bt</span>0h, <span class="html-italic">Bt</span>6h, <span class="html-italic">Bt</span>12h and <span class="html-italic">Bt</span>24h. The mean value of the three biological repeated mortality rates of each comparison group is marked in the figure. The red font is the mean value of the mortality rate of each <span class="html-italic">Bt</span> infection time group, and the black font is the mean value of the mortality rate of each time group of the CK group. There was no significant difference in mortality between different time periods in CK group, but there was a significant difference in mortality between different infection time periods in <span class="html-italic">Bt</span> group, and almost all the larvae died after 24 h of infection. In the figure, capital letters indicate the difference of the average mortality of three biological repeats in CK group at different infection time nodes, and all of them are A, indicating that there is no difference in the mortality of each infection time node in CK group; Whether there is a significant difference between the average mortality of three biological repetitions at each infection time node in <span class="html-italic">Bt</span> group is indicated by lowercase letters. In the figure, the average mortality of 24 h is the highest, marked as a, followed by 12 h, 6 h and 0 h, and marked as b, c and d in turn because there are significant differences between the two. (<b>B</b>) The changes of the midgut tissue of the 5th instar larvae of <span class="html-italic">D. kikuchii</span> after eating the pine needles soaked in PBS/<span class="html-italic">Bt</span> bacterial solution. In <span class="html-italic">Bt</span>0h, the midgut tissue structure of larvae was complete and light green. For <span class="html-italic">Bt</span>6h, it can be observed that the midgut tissue structure is still intact, but the color becomes dark green; in <span class="html-italic">Bt</span>12h, the color of the first two groups has changed significantly, from dark green to yellow, and the lower part of the midgut has been festered and liquefied. By 24 h after <span class="html-italic">Bt</span> infection, the midgut tissue structure of the larvae had completely lost its complete structure and was completely liquefied. (<b>C</b>) The 5th instar of <span class="html-italic">D. kikuchii</span> after <span class="html-italic">Bt</span> infection. The a, b, c and d in the figure indicate that there are differences between groups.</p>
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<p>Pathological changes in cell nucleus in midgut tissue. (<b>A</b>) In the figure, the cell nucleus of the midgut tissue of the <span class="html-italic">Bt</span>0h group was full, the nuclear membrane structure was complete and smooth and the nucleoplasm was evenly distributed. (<b>B</b>) The red arrow in the figure indicates the nuclear membrane and nucleus of the lesion. Nucleolus aggregated, and the inner and outer membrane spaces of the nucleus were separated. (<b>C</b>) As shown by the red arrow, the nuclear lesion is aggravated, the nucleoli is hollow, the nuclear morphology is severely deformed, and the nuclear membrane is angular. (<b>D</b>) As shown by the red arrow, the nucleolus cavity becomes larger, the nucleus is seriously deformed and the nuclear membrane is obviously angular.</p>
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<p>Mitochondrial pathological changes in midgut tissue cells. (<b>A</b>) In the figure, there are normal mitochondria, most of which are oval or fusiform, with a clear inner ridge and complete structure. (<b>B</b>) As shown by the red arrow, the mitochondrial morphology was deformed, the individual cells became smaller, most of the mitochondrial inner ridges were damaged or disappeared and the internal structure was blurred. (<b>C</b>) As shown by the red arrow, the mitochondria swelled, the internal structure degraded to form voids and the number decreased. (<b>D</b>) As shown by the red arrow, the mitochondrial morphology was severely deformed, and the cavity enlargement led to the formation of a large number of vesicles and serious degradation.</p>
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<p>Pathological changes in endoplasmic reticulum in midgut tissue. (<b>A</b>) As shown by the red arrow, the endoplasmic reticulum in the <span class="html-italic">Bt</span>0h group was neatly arranged, with a large number and a complete structure. (<b>B</b>) As shown by the red arrow, the number of endoplasmic reticula decreased and the arrangement was disordered. (<b>C</b>,<b>D</b>) As shown by the red arrow, the endoplasmic reticulum is severely degraded, and only a very small number of undegraded endoplasmic reticula can be observed.</p>
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<p>Pathological changes of microvilli in midgut tissue. (<b>A</b>) The figure shows the normal microvilli morphology, with a large number and neat arrangement. (<b>B</b>) The arrow indicates slightly swollen microvilli. (<b>C</b>) The arrangement of microvilli was disordered, the degree of swelling and deformation was aggravated and the shedding was serious. (<b>D</b>) The degree of deformation and shedding of microvilli is extremely serious and is degraded.</p>
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<p>Analysis of different metabolites in midgut tissue. (<b>A</b>) Differential volcanic map of <span class="html-italic">Bt</span>6h vs. <span class="html-italic">Bt</span>0h formation. (<b>B</b>) Differential volcanic map of <span class="html-italic">Bt</span>12h vs. <span class="html-italic">Bt</span>0h formation. (<b>C</b>) Differential volcanic map of <span class="html-italic">Bt</span>24h vs. <span class="html-italic">Bt</span>0h formation. (<b>D</b>) Venn analysis of three groups of differential metabolites, with 27 intersecting differential metabolites obtained. The purple part is the intersection difference metabolite obtained. (<b>E</b>) Matching with the database of human metabolites, 27 different metabolites were classified. (<b>F</b>) KEGG enrichment analysis of 27 different metabolites showed that <span class="html-italic">p</span> &lt; 0.05 was significant enrichment. (<b>G</b>) Based on the results of KEGG enrichment analysis, the topological analysis of the obtained signal pathways was carried out, among which the Nicotinate and nicotinamide signal pathways and the differential metabolite nicotinamide had the highest weight.</p>
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<p>Transcriptome analysis of midgut tissue. (<b>A</b>) Volcano map of differentially expressed genes in <span class="html-italic">Bt</span>6h vs. <span class="html-italic">Bt</span>0h group. (<b>B</b>) Volcano map of differentially expressed genes in <span class="html-italic">Bt</span>12h vs. <span class="html-italic">Bt</span>0h group. (<b>C</b>) Volcano map of differentially expressed genes of <span class="html-italic">Bt</span>24h vs. <span class="html-italic">Bt</span>0h group. (<b>D</b>) Venn analysis of differentially expressed genes in 3 groups; 388 intersection differentially expressed genes were obtained. (<b>E</b>) KEGG annotation analysis of 388 differentially expressed genes. In the figure, the * marked pathway is the common signal pathway of transcription group and metabolism group.</p>
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<p>RT-qPCR verification.</p>
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13 pages, 1817 KiB  
Article
Impact of Fire Recurrence and Water Stress on the Root Nucleolar Activity of Maritime Pine (Pinus pinaster Ait.) Individuals Whose Seeds Were Harvested in Post-Fire Naturally Regenerated Stands
by Ana Carvalho, Inês Margarida Lopes, Stéphanie Ribeiro, Teresa Fonseca and José Lima-Brito
Fire 2024, 7(11), 386; https://doi.org/10.3390/fire7110386 - 28 Oct 2024
Viewed by 756
Abstract
The main role of the nucleolus is ribosomal biogenesis, but it also responds to stress with changes in number, area, and/or morphology. Nucleoli with transcriptionally active ribosomal RNA genes are selectively stained by silver nitrate. Hypothesising that fire recurrence and/or polyethylene glycol (PEG)-induced [...] Read more.
The main role of the nucleolus is ribosomal biogenesis, but it also responds to stress with changes in number, area, and/or morphology. Nucleoli with transcriptionally active ribosomal RNA genes are selectively stained by silver nitrate. Hypothesising that fire recurrence and/or polyethylene glycol (PEG)-induced water stress would cause nucleolar changes in Pinus pinaster roots, nucleolar parameters were analysed upon the germination of seeds harvested in post-fire naturally regenerated stands with different fire regimes. An unburned stand was used as a control. The nucleoli number varied from 1 to 15 among stands and PEG treatments, but a mode of five or six nucleoli was found. The number of nucleoli per interphase (N) increased (p < 0.001) with fire recurrence (stand effect). Increasing PEG concentration (treatment effect) decreased the nucleoli number, notably in the stand with the highest fire recurrence. The nucleolar area decreased (p < 0.001) with increased nucleoli number, fire recurrence, and/or PEG concentration. Fire recurrence and water scarcity are forecasted for future climate scenarios. As demonstrated earlier, these factors could influence protein synthesis or the cell cycle’s regularity, which are crucial processes for root growth and pine seedling establishment. Furthermore, this work revealed that nucleolar parameters could be suitable biomarkers for pine stress studies. Full article
(This article belongs to the Special Issue Post-fire Effects on Environment)
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<p>Root-tip interphase cells of <span class="html-italic">P. pinaster</span>, stained with silver nitrate, show a variable number of nucleoli with small size per interphase nucleus.</p>
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<p>Variation in the number of silver nitrate-stained nucleoli per interphase cell detected in root interphase cells of seeds that were harvested in the <span class="html-italic">P. pinaster</span> C, A, B and D stands with different fire regimes (identified in the image) and then germinated in distilled water.</p>
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<p>Variation in the number of silver nitrate-stained nucleoli per interphase cell detected in root interphase cells of seeds that were harvested in the <span class="html-italic">P. pinaster</span> C, A, B and D stands with different fire regimes (identified in the image) and then germinated in distilled water (0% PEG, control treatment) or aqueous solutions of 10% PEG and 20% PEG.</p>
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17 pages, 2545 KiB  
Article
miR-30c-5p Gain and Loss of Function Modulate Sciatic Nerve Injury-Induced Nucleolar Stress Response in Dorsal Root Ganglia Neurons
by Raquel Francés, Jorge Mata-Garrido, Miguel Lafarga, María A. Hurlé and Mónica Tramullas
Int. J. Mol. Sci. 2024, 25(21), 11427; https://doi.org/10.3390/ijms252111427 - 24 Oct 2024
Viewed by 2233
Abstract
Neuropathic pain is a prevalent and debilitating chronic syndrome that is often resistant to treatment. It frequently arises as a consequence of damage to first-order nociceptive neurons in the lumbar dorsal root ganglia (DRG), with chromatolysis being the primary neuropathological response following sciatic [...] Read more.
Neuropathic pain is a prevalent and debilitating chronic syndrome that is often resistant to treatment. It frequently arises as a consequence of damage to first-order nociceptive neurons in the lumbar dorsal root ganglia (DRG), with chromatolysis being the primary neuropathological response following sciatic nerve injury (SNI). Nevertheless, the function of miRNAs in modulating this chromatolytic response in the context of neuropathic pain remains unexplored. Our previous research demonstrated that the intracisternal administration of a miR-30c mimic accelerates the development of neuropathic pain, whereas the inhibition of miR-30c prevents pain onset and reverses established allodynia. In the present study, we sought to elucidate the role of miR-30c-5p in the pathogenesis of neuropathic pain, with a particular focus on its impact on DRG neurons following SNI. The organisation and ultrastructural changes in DRG neurons, particularly in the protein synthesis machinery, nucleolus, and Cajal bodies (CBs), were analysed. The results demonstrated that the administration of a miR-30c-5p mimic exacerbates chromatolytic damage and nucleolar stress and induces CB depletion in DRG neurons following SNI, whereas the administration of a miR-30c-5p inhibitor alleviates these effects. We proposed that three essential cellular responses—nucleolar stress, CB depletion, and chromatolysis—are the pathological mechanisms in stressed DRG neurons underlying neuropathic pain. Moreover, miR-30c-5p inhibition has a neuroprotective effect by reducing the stress response in DRG neurons, which supports its potential as a therapeutic target for neuropathic pain management. This study emphasises the importance of miR-30c-5p in neuropathic pain pathogenesis and supports further exploration of miRNA-based treatments. Full article
(This article belongs to the Special Issue Molecular Mechanisms of mRNA Transcriptional Regulation: 2nd Edition)
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<p>miR-30c-5p modulation effects on the chromatolysis developed by dorsal root ganglia neurons after spared nerve injury. (<b>A</b>–<b>H</b>) Dissociated dorsal root ganglia (DRG) neurons double stained with propidium iodide (PI, red) and Lamin B1 (green). Note the prominent NBs and round nuclei in sham rats treated with vehicle (<b>A</b>,<b>E</b>), miR-30c-5p mimic (<b>B</b>), or miR-30c-5p inhibitor (<b>F</b>), reflecting a normal distribution of the protein synthesis machinery and nuclear location. DRG neurons from day-5 (<b>C</b>) or day-10 SNI rats (<b>G</b>) exhibited central chromatolysis with dispersion and severe loss of NBs in the centre of the neuronal body, accumulations of Nissl substance at the marginal cytoplasm, and peripheral displacement of the nucleus, which were aggravated by treatment with miR-30c-5p mimic (<b>D</b>). Administration of miR-30c-5p inhibitor reduced the chromatolytic response observed after SNI (<b>H</b>). (<b>I</b>,<b>J</b>) Percentage of neurons showing chromatolysis. (<b>K</b>,<b>L</b>) Percentage of neurons showing eccentricity of the nucleus. The percentage of damaged neurons and eccentric nuclei was determined in 1000 neurons per rat (n = 3 rats per group). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. Sham; # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01, ### <span class="html-italic">p</span> &lt; 0.001 vs. SNI (Two-way ANOVA followed by the Bonferroni post hoc test). Scale bar: 5 µm.</p>
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<p>Electron micrographs illustrating the ultrastructural characteristics of dorsal root ganglia neurons after administration of miR-30c-5p mimic or inhibitor to SNI rats. In dorsal root ganglia (DRG) neurons from sham (<b>A</b>) and SNI rats treated with miR-30c-5p inhibitor (<b>C</b>), the most prominent organelles are the NBs, composed of RER cisterns (<b>C</b>, arrow) and rosettes of free polyribosomes (<b>A</b>, arrow). Bundles of neurofilaments (NF) interspersed between NBs, profiles of Golgi complexes, and mitochondria are also apparent. In DRGs from SNI rats treated with vehicle (<b>B</b>) or miR-30c-5p mimic (<b>D</b>), the NBs disaggregated, leaving an extensive cleared chromatolytic area in the centre of the cell body, free of NBs. The increased number of NFs and the abundance of mitochondria (M)—some of which are very small (&lt;0.5 µm)—in chromatolytic areas are also noteworthy. Scale bar: 5 µm.</p>
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<p>miR-30c-5p modulation effects on the nucleolar organisation of dorsal root ganglion neurons after spared nerve injury. (<b>A</b>–<b>H</b>) Dissociated dorsal root ganglia (DRG) neurons double immunostained for upstream binding factor (UBF, green) and Lamin B1 (red). DRG neurons from sham rats treated with vehicle (<b>A</b>,<b>E</b>), miR-30c-5p mimic (<b>B</b>), or miR-30c-5p inhibitor (<b>F</b>), and day-10 SNI rats treated with miR-30c-5p inhibitor (<b>H</b>) presented a normal UBF distribution as small dots corresponding to FCs. In contrast, DRG neurons from day-5 SNI rats treated with vehicle (<b>C</b>) or miR-30c-5p mimic (<b>D</b>) and day-10 SNI rats treated with vehicle (<b>G</b>) showed segregation of UBF nucleolar staining into one or a few giant FCs. (<b>I</b>,<b>J</b>) The percentage of neurons showing UBF-positive giant FCs was determined in 1000 neurons per rat (n = 3 rats per group); ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001 vs. Sham; ### <span class="html-italic">p</span> &lt; 0.001 vs. SNI (Two-way ANOVA followed by the Bonferroni post hoc test). Scale bar: 5 µm.</p>
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<p>Representative electron micrographs illustrating the ultrastructural nucleolar characteristics of dorsal root ganglia neurons after administration of miR-30c-5p mimic or inhibitor to SNI rats. Sham (<b>A</b>) and SNI rats treated with miR-30c-5p inhibitor (<b>C</b>) exhibit the typical nucleolar organisation of DRG neurons, characterised by the presence of numerous small-sized fibrillar centres (*, FCs), surrounded by a ring of dense fibrillar component (DFC), and areas of granular component (GC), preferentially at the nucleolar periphery. SNI rats treated with vehicle (<b>B</b>) or with miR-30c-5p mimic (<b>D</b>) present severe nucleolar alterations, including the formation of enlarged FCs and segregation of large masses of GC and DFC at the nucleolar periphery. Scale bar: 2 µm.</p>
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<p>miR-30c-5p modulation effects on the number of Cajal bodies in dorsal root ganglion neurons after spared nerve injury. Representative images of dissociated DRG neurons immunolabeled for coilin (green) and counterstained with propidium iodide ((PI), red). Example of neurons showing 0 (<b>A</b>), 1 (<b>B</b>), and 2 (<b>C</b>) CBs. (<b>D</b>,<b>E</b>) Quantitative analysis of the percentage of neurons carrying 0, 1, or more than 2 CBs in each of our experimental groups. The number of CBs per neuron was determined in 1000 neurons per rat, in 3 rats of each group (sham; SNI + vehicle; SNI + miR-30c-5p inhibitor; SNI + miR-30c-5p mimic). The quantification analysis indicates that, regardless of the experimental condition, most neurons present 1 CB. There is a significant increase in the percentage of neurons showing more than 2 CBs in SNI rats treated with miR-30c-5p inhibitor. The proportion of neurons without CBs is significantly increased in SNI rats treated with vehicle or miR-30c-5p mimic. (<b>F</b>,<b>G</b>) Electron microscopy of CBs in DRG neurons from SNI rats treated with miR-30c-5p inhibitor showing 3 CBs (<b>F</b>) and a hypertrophic CB physically close to the nucleolus (<b>G</b>). * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.01 vs. Sham; ### <span class="html-italic">p</span> &lt; 0.001 vs. SNI). (Two-way ANOVA followed by the Bonferroni post hoc test). Scale bar: 5 µm. Scale bar: 2 µm.</p>
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15 pages, 1695 KiB  
Review
Stress-Induced Evolution of the Nucleolus: The Role of Ribosomal Intergenic Spacer (rIGS) Transcripts
by Anastasia A. Gavrilova, Margarita V. Neklesova, Yuliya A. Zagryadskaya, Irina M. Kuznetsova, Konstantin K. Turoverov and Alexander V. Fonin
Biomolecules 2024, 14(10), 1333; https://doi.org/10.3390/biom14101333 - 20 Oct 2024
Viewed by 1497
Abstract
It became clear more than 20 years ago that the nucleolus not only performs the most important biological function of assembling ribonucleic particles but is also a key controller of many cellular processes, participating in cellular adaptation to stress. The nucleolus’s multifunctionality is [...] Read more.
It became clear more than 20 years ago that the nucleolus not only performs the most important biological function of assembling ribonucleic particles but is also a key controller of many cellular processes, participating in cellular adaptation to stress. The nucleolus’s multifunctionality is due to the peculiarities of its biogenesis. The nucleolus is a multilayered biomolecular condensate formed by liquid–liquid phase separation (LLPS). In this review, we focus on changes occurring in the nucleolus during cellular stress, molecular features of the nucleolar response to abnormal and stressful conditions, and the role of long non-coding RNAs transcribed from the intergenic spacer region of ribosomal DNA (IGS rDNA). Full article
(This article belongs to the Section Biological Factors)
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<p>The ribosomal DNA cassette (rDNA cassette). The rDNA cassette contains sequences encoding the pre-RNA and the ribosomal intergenic spacer (rIGS). In humans, the cassette size is approximately 43 kb; they are located on the p-arms of five chromosomes. Distal Junction is a sequence approximately 400 kb long that flanks the ribosomal gene repeat. Polymerase I transcribes several functional noncoding RNAs from rIGS. rIGS 16 RNA and rIGS 22 RNA are synthesized during heat shock, and rIGS 28 RNA is synthesized under acidosis conditions. pRNA is transcribed from spacer promoters upstream of the pre-rRNA transcription start site. PAPAS are a set of antisense RNAs that are synthesized by Pol II. PAPAS transcripts do not have a common promoter; their transcription begins at random sites and can span both pre-rRNA coding and IGS regions longer than 10 kb.</p>
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<p>Nucleolar transformation in response to stress. The interphase nucleolus with characteristic tripartite structure is shown in the center. Panels (<b>A</b>–<b>D</b>) show structures that arise under different stressful influences. (<b>A</b>) Nucleolar segregation or nucleolar caps are formed when RNA pol I transcription is inactivated. Actinomycin D or ionizing radiation induces rDNA double-strand breaks (DSBs), resulting in the formation of nucleolar capsules adjacent to their DJ anchor. (<b>B</b>) Upon DRB treatment, RNA pol I transcription is active, but rRNA processing is converted to form a nucleolar necklace. (<b>C</b>) When exposed to heat shock and acidosis, the nucleolus transforms into an electron-dense fibrillar organization, the A-body. The fibers contain immobilized proteins in an amyloid-like state. (<b>D</b>) Nucleolar aggresomes are formed upon proteotoxic insults such as proteasome inhibition and heat shock. This may or may not involve inhibited RNA pol I activity.</p>
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<p>Stress-induced transcription of non-coding RNAs from the IGS region. (<b>A</b>) pRNA recruits the Nucleolar Remodeling Complex (NoRC) to the promoter and, due to its hairpin structure, binds to one of the NoRC proteins, TIP5, thereby mediating the nucleolar localization of the entire complex. NoRC moves the nucleosome to a repressive position, preventing transcription initiation. (<b>B</b>) During cellular quiescence and starvation, the amount of PAPAS increases. The transcripts recruit the histone methyltransferase Suv4-20h2 to the rDNA locus, which installs the repressive H4K20me3 mark on the rDNA, resulting in immediate suppression of rDNA expression. (<b>C</b>) During heat shock and acidosis, rIGS 16 RNA, rIGS 22 RNA, and rIGS 28 RNA are transcribed, respectively. These transcripts likely mediate the nucleolar sequestration of VHL, CDC73, MDM2, POLD1, and many other proteins possessing amyloid-converting motifs. The local concentration of proteins with an amyloidogenic propensity in the foci triggers physiological amyloidogenesis and generates nascent amyloid bodies (A-bodies).</p>
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15 pages, 40327 KiB  
Review
How the Oocyte Nucleolus Is Turned into a Karyosphere: The Role of Heterochromatin and Structural Proteins
by Venera Nikolova, Maya Markova, Ralitsa Zhivkova, Irina Chakarova, Valentina Hadzhinesheva and Stefka Delimitreva
J. Dev. Biol. 2024, 12(4), 28; https://doi.org/10.3390/jdb12040028 - 18 Oct 2024
Viewed by 1001
Abstract
Oocyte meiotic maturation includes large-scale chromatin remodeling as well as cytoskeleton and nuclear envelope rearrangements. This review addresses the dynamics of key cytoskeletal proteins (tubulin, actin, vimentin, and cytokeratins) and nuclear envelope proteins (lamin A/C, lamin B, and the nucleoporin Nup160) in parallel [...] Read more.
Oocyte meiotic maturation includes large-scale chromatin remodeling as well as cytoskeleton and nuclear envelope rearrangements. This review addresses the dynamics of key cytoskeletal proteins (tubulin, actin, vimentin, and cytokeratins) and nuclear envelope proteins (lamin A/C, lamin B, and the nucleoporin Nup160) in parallel with chromatin reorganization in maturing mouse oocytes. A major feature of this reorganization is the concentration of heterochromatin into a spherical perinucleolar rim called surrounded nucleolus or karyosphere. In early germinal vesicle (GV) oocytes with non-surrounded nucleolus (without karyosphere), lamins and Nup160 are at the nuclear envelope while cytoplasmic cytoskeletal proteins are outside the nucleus. At the beginning of karyosphere formation, lamins and Nup160 follow the heterochromatin relocation assembling a new spherical structure in the GV. In late GV oocytes with surrounded nucleolus (fully formed karyosphere), the nuclear envelope gradually loses its integrity and cytoplasmic cytoskeletal proteins enter the nucleus. At germinal vesicle breakdown, lamin B occupies the karyosphere interior while all the other proteins stay at the karyosphere border or connect to chromatin. In metaphase oocytes, lamin A/C surrounds the spindle, Nup160 localizes to its poles, actin and lamin B are attached to the spindle fibers, and cytoplasmic intermediate filaments associate with both the spindle fibers and the metaphase chromosomes. Full article
(This article belongs to the Special Issue Feature Papers from Journal of Developmental Biology Reviewers)
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<p>Early GV mouse oocytes before the formation of karyosphere: (<b>A</b>) reaction for lamin B, alpha-tubulin, and chromatin; (<b>B</b>) reaction for lamin A/C, Nup160, and chromatin, epifluorescence. These cells were labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Chromatin is stained with Hoechst 33258 and the proteins are visualized by indirect immunofluorescence. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage before karyosphere formation—reaction for alpha-tubulin, fibrillar actin, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Actin is visualized using labeled phalloidin. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage during karyosphere formation—reaction for lamin A/C and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage during karyosphere formation—reaction for lamin B and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage during karyosphere formation—reaction for lamin A/C, Nup160, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage with well-contoured karyosphere—reaction for alpha-tubulin, fibrillar actin, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte at the GV stage with fully formed karyosphere and condensed chromosomes—reaction for alpha-tubulin, fibrillar actin, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GV stage with fully formed karyosphere and condensed chromosomes—reaction for chromatin, vimentin, and fibrillar actin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the late GV stage with visible signs of nuclear envelope disintegration—reaction for lamin A/C, Nup160, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in the GVBD stage—reaction for lamin B and chromatin, confocal microscopy. The chromosomes are arranged in a prometaphase belt. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 10 μm.</p>
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<p>Prometaphase I mouse oocyte showing chromosomes and alpha-tubulin in the process of the construction of meiotic spindle, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Metaphase I mouse oocyte stained for lamin B, alpha-tubulin, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in metaphase I stained for lamin A/C, Nup160, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B24-jdb-12-00028" class="html-bibr">24</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in metaphase I, reaction for cytokeratins, fibrillar actin, and chromatin, confocal microscopy. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Mouse oocyte in metaphase I, reaction for fibrillar actin, cytokeratins, and chromatin, epifluorescence. The cell was labeled as a part of the research described in [<a href="#B29-jdb-12-00028" class="html-bibr">29</a>]. Bar = 20 μm.</p>
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<p>Summary of the dynamics of the main cytoskeletal proteins during meiotic chromatin rearrangement in mouse oocytes. GV, germinal vesicle; GVBD, germinal vesicle breakdown; ZP, zona pellucida; CC, cumulus cells; k, karyosphere.</p>
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<p>Summary of the dynamics of the selected nuclear envelope proteins during meiotic chromatin rearrangement in mouse oocytes. GV, germinal vesicle; GVBD, germinal vesicle breakdown; ZP, zona pellucida; CC, cumulus cells; k, karyosphere.</p>
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26 pages, 8418 KiB  
Article
On the Different Fair Allocations of Economic Benefits for Energy Communities
by Gabriele Volpato, Gianluca Carraro, Enrico Dal Cin and Sergio Rech
Energies 2024, 17(19), 4788; https://doi.org/10.3390/en17194788 - 25 Sep 2024
Cited by 1 | Viewed by 719
Abstract
Energy Communities (ECs) are aggregations of users that cooperate to achieve economic benefits by sharing energy instead of operating individually in the so-called “disagreement” case. As there is no unique notion of fairness for the cost/profit allocation of ECs, this paper aims to [...] Read more.
Energy Communities (ECs) are aggregations of users that cooperate to achieve economic benefits by sharing energy instead of operating individually in the so-called “disagreement” case. As there is no unique notion of fairness for the cost/profit allocation of ECs, this paper aims to identify an allocation method that allows for an appropriate weighting of both the interests of an EC as a whole and those of all its members. The novelty is in comparing different optimization approaches and cooperative allocation criteria, satisfying different notions of fairness, to assess which one may be best suited for an EC. Thus, a cooperative model is used to optimize the operation of an EC that includes two consumers and two solar PV prosumers. The model is solved by the “Social Welfare” approach to maximizing the total “incremental” economic benefit (i.e., cost saving and/or profit increase) and by the “Nash Bargaining” approach to simultaneously maximize the total and individual incremental economic benefits, with respect to the “disagreement” case. Since the “Social Welfare” approach could lead to an unbalanced benefit distribution, the Shapley value and Nucleolus criteria are applied to re-distribute the total incremental economic benefit, leading to higher annual cost savings for consumers with lower electricity demand. Compared to “Social Welfare” without re-distribution, the Nash Bargaining distributes 39–49% and 9–17% higher annual cost savings to consumers with lower demand and to prosumers promoting the energy sharing within the EC, respectively. However, total annual cost savings drop by a maximum of 5.5%, which is the “Price of Fairness”. Full article
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<p>Energy community with commercial (Com) and residential (Res1) consumers, and agricultural (Agr) and residential (Res2) prosumers. The blue and green arrows represent the energy exchanged with the electric distribution grid (i.e., P2G energy) and the energy shared among users (i.e., P2P energy), respectively.</p>
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<p>The figure shows 8 typical days of (<b>a</b>) global solar irradiance in Padova (Italy) and (<b>b</b>) electricity demands of the commercial (Com) and residential (Res1) consumers as well as the agricultural (Agr) and residential (Res2) prosumers.</p>
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<p>The figure shows 8 typical days of the Peer-to-Grid (P2G) sale price.</p>
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<p>Peer-to-Grid (P2G) and Peer-to-Peer (P2P) purchase and sale prices for one typical day, considering (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh).</p>
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<p>Optimal annual cost savings [€] obtained by using the Social Welfare (SW) and Nash Bargaining (NB) optimization approaches (left axis) and relative difference [%] in the annual cost savings between SW and NB considering SW as reference (right axis), in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh). The dashed orange circles highlight the Price of Fairness, i.e., the reduction in the total annual cost savings by moving from the SW solution to the NB solution.</p>
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<p>Optimal P2G power of users in the 8 typical days considered by the NB optimization, in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh).</p>
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<p>Optimal P2P power between users in the 8 typical days considered by the NB optimization, in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh).</p>
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<p>Input electricity demands and optimal shifted electricity demands due to the PBDR (solid and dashed lines, respectively), and PV generation profiles, in the 8 typical days considered by the NB optimization in scenario 1 (grid tariff of 0.1 €/kWh) for the (<b>a</b>) Com, (<b>b</b>) Res1, (<b>c</b>) Agr and (<b>d</b>) Res2 users.</p>
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<p>Allocation of the optimal annual cost savings [€] by Shapley value and Nucleolus (left axis) and relative differences [%] in the re-distributed annual cost savings compared to those obtained with only the Social Welfare (SW) approach (right axis), in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh).</p>
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<p>Excess of each coalition, given the allocation of the annual cost savings by Shapley value, in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh). Negative and positive excess values represent coalitions willing to stay in the EC and willing to leave the EC, respectively.</p>
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<p>Relative differences [%] in the optimal annual cost savings of the users, allocated by the Shapley value and Nucleolus criteria and the Nash Bargaining (NB) optimization, compared to the base Social Welfare (SW) optimization, in (<b>a</b>) scenario 1 (grid tariff of 0.1 €/kWh) and (<b>b</b>) scenario 2 (grid tariff of 0.015 €/kWh). The dashed black circles show that NB allows to satisfy at least one consumer and one prosumer, contrary to Shapley value and Nucleolus.</p>
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22 pages, 1655 KiB  
Review
The Nucleolus and Its Interactions with Viral Proteins Required for Successful Infection
by José Manuel Ulloa-Aguilar, Luis Herrera Moro Huitron, Rocío Yazmin Benítez-Zeferino, Jorge Francisco Cerna-Cortes, Julio García-Cordero, Guadalupe León-Reyes, Edgar Rodrigo Guzman-Bautista, Carlos Noe Farfan-Morales, José Manuel Reyes-Ruiz, Roxana U. Miranda-Labra, Luis Adrián De Jesús-González and Moises León-Juárez
Cells 2024, 13(18), 1591; https://doi.org/10.3390/cells13181591 - 21 Sep 2024
Viewed by 1727
Abstract
Nuclear bodies are structures in eukaryotic cells that lack a plasma membrane and are considered protein condensates, DNA, or RNA molecules. Known nuclear bodies include the nucleolus, Cajal bodies, and promyelocytic leukemia nuclear bodies. These bodies are involved in the concentration, exclusion, sequestration, [...] Read more.
Nuclear bodies are structures in eukaryotic cells that lack a plasma membrane and are considered protein condensates, DNA, or RNA molecules. Known nuclear bodies include the nucleolus, Cajal bodies, and promyelocytic leukemia nuclear bodies. These bodies are involved in the concentration, exclusion, sequestration, assembly, modification, and recycling of specific components involved in the regulation of ribosome biogenesis, RNA transcription, and RNA processing. Additionally, nuclear bodies have been shown to participate in cellular processes such as the regulation of transcription of the cell cycle, mitosis, apoptosis, and the cellular stress response. The dynamics and functions of these bodies depend on the state of the cell. It is now known that both DNA and RNA viruses can direct their proteins to nuclear bodies, causing alterations in their composition, dynamics, and functions. Although many of these mechanisms are still under investigation, it is well known that the interaction between viral and nuclear body proteins is necessary for the success of the viral infection cycle. In this review, we concisely describe the interaction between viral and nuclear body proteins. Furthermore, we focus on the role of the nucleolus in RNA virus infections. Finally, we discuss the possible implications of the interaction of viral proteins on cellular transcription and the formation/degradation of non-coding RNAs. Full article
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<p>Subnuclear structures and their interaction with viruses.</p>
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<p>The ole of non-coding RNAs during viral infections. (<b>A</b>) RNA molecules play various roles in cells, and they are broadly classified into two categories: coding RNA and non-coding RNA. Non-coding RNAs do not code for proteins but have crucial roles in regulating gene expression and maintaining cellular functions. Here is an overview of the main types of ncRNA: microRNA (miRNA), small interfering RNA (siRNA), piwi-Interacting RNA (piRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), long non-coding RNA (lncRNA), circular RNA (circRNA), and long intergenic non-coding RNA (lincRNA). (<b>B</b>) miRNAs are small, non-coding, single-stranded RNAs ~23 nt (ranging from 19 to 25 nt). The majority of mammalian miRNAs genes are located in intergenic regions or in antisense orientation and are transcribed by RNA polymerase II (Pol II) as primary miRNA transcripts (pri-miRNAs). (<b>C</b>) pri-miRNAs are capped, polyadenylated, and contain a local stem–loop structure that encodes miRNA sequences in the arm of the stem. This stem–loop structure is cleaved by the nuclear RNase III type enzyme Drosha in a process known as ‘cropping’. In the nucleus, the RNA hairpin structure is excised by the RNAse III-like enzyme Drosha and its co-factor DGCR8 to form the precursor miRNA (pre-miRNA). (<b>D</b>) pre-miRNA is translocated to the cytosol by exportin5, where it is processed by the Dicer protein complex, resulting in an miRNA duplex (miRNA/miRNA*), which is made up of a guide chain (miRNA) and a passenger chain (miR-NA*). (<b>E</b>) The miRNA/miRNA* is then loaded into the Argonaute (AGO), promoting the expulsion and degradation of the miRNA and the formation of the RNA-induced silencing complex (RISC). The RISC recognizes the targeted mRNA through base-pairing with miRNA. (<b>F</b>) miRNAs function as key regulators of gene expression in many different cellular pathways and systems, including immune response. So, several viruses with the purpose of carrying out an efficient replication or a persistent infection are able to modify their biogenesis, such as in the case of HIV. In this sense, several studies report an increase in miRNAs that facilitate its replication while inhibiting the Dicer–TRBP–PACT complex.</p>
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<p>(<b>A</b>) Atorvastatin and Ivermectin: Both drugs are known to disrupt the nuclear–cytoplasmic transport of proteins. Specifically, they impair the trafficking of viral proteins, which is crucial for the assembly and maturation of viral particles. This action has been noted in viruses like Dengue and Zika virus (ZIKV), where effective viral replication relies on the proper localization of viral proteins within the host cell. (<b>B</b>) 5-Fluorouracil (5-FU): A pyrimidine analog that interferes with nucleotide metabolism and RNA function. 5-FU targets nucleolar structures, disrupting the organization and function of the nucleolus. This disruption impairs the transport and processing of rRNA and other molecules, crucial for ribosome assembly and function. (<b>C</b>) Quarfloxin (CX-3543): Its main mechanism is the inhibition of the interaction between the nucleolar protein nucleophosmin (NPM1) and DNA containing regions rich in G-quadruplexes, secondary structures present in promoter regions of ribosomal DNA. This drug destabilizes ribosome assembly by blocking the transcription of ribosomal RNA, which reduces protein production in the cell. (<b>D</b>) Leptomycin B: Inhibits CRM1 (also known as exportin 1), a key protein in the nuclear export of proteins and RNAs. By blocking the nuclear export of viral proteins and RNAs, Leptomycin B effectively prevents the replication of various viruses, including HIV and Influenza. This inhibition disrupts the life cycle of these viruses, which rely on the export of viral components for replication and assembly. Selinexor: Another inhibitor of CRM1/exportin 1, like Leptomycin B. Used in the treatment of certain cancers and viral infections, Selinexor blocks the nuclear export of viral and cellular components, thereby disrupting viral replication and cancer cell proliferation by affecting cellular stress responses and apoptotic pathways. (<b>E</b>) Cisplatin: Forms covalent adducts with DNA, including ribosomal DNA (rDNA), and proteins within the nucleolus. These adducts create steric hindrances that prevent the proper assembly and function of nucleolar components. This action blocks the synthesis and maturation of rRNA, thereby hindering viral access to the nucleolar machinery necessary for replication. (<b>F</b>) CDK inhibitors: Target cyclin-dependent kinases (CDKs), which are critical regulators of cell cycle progression and nucleolar function. These inhibitors disrupt the nucleolar scaffold, leading to nucleolar dissolution. This disruption affects rRNA transcription and processing, impairing the nucleolus’s ability to produce ribosomes, which are necessary for protein synthesis, including viral proteins. (<b>G</b>) Camptothecin and Doxorubicin: Inhibit RNA polymerase I (Pol I), which is responsible for the transcription of rRNA genes. These drugs reduce the synthesis of rRNA, leading to decreased ribosome production. Since ribosomes are essential for the translation of viral proteins, their reduced availability impairs viral replication. BMH-21: Exerts its action by binding to DNA in rRNA gene regions, which leads to inhibition of RNA polymerase I and degradation of the enzyme. This inhibition specifically affects cells with a high rate of rRNA synthesis, such as tumor cells, without severely impacting normal cells.</p>
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18 pages, 12284 KiB  
Article
Defense Responses Induced by Viral Movement Protein and Its Nuclear Localization Modulate Virus Cell-to-Cell Transport
by Anastasia K. Atabekova, Ekaterina A. Lazareva, Alexander A. Lezzhov, Sergei A. Golyshev, Boris I. Skulachev, Sergey Y. Morozov and Andrey G. Solovyev
Plants 2024, 13(18), 2550; https://doi.org/10.3390/plants13182550 - 11 Sep 2024
Viewed by 961
Abstract
Movement proteins (MPs) encoded by plant viruses are essential for cell-to-cell transport of viral genomes through plasmodesmata. The genome of hibiscus green spot virus contains a module of two MP genes termed ‘binary movement block’ (BMB), encoding the proteins BMB1 and BMB2. Here, [...] Read more.
Movement proteins (MPs) encoded by plant viruses are essential for cell-to-cell transport of viral genomes through plasmodesmata. The genome of hibiscus green spot virus contains a module of two MP genes termed ‘binary movement block’ (BMB), encoding the proteins BMB1 and BMB2. Here, BMB1 is shown to induce a defense response in Nicotiana benthamiana plants that inhibits BMB-dependent virus transport. This response is characterized by the accumulation of reactive oxygen species, callose deposition in the cell wall, and upregulation of 9-LOX expression. However, the BMB1-induced response is inhibited by coexpression with BMB2. Furthermore, BMB1 is found to localize to subnuclear structures, in particular to Cajal bodies, in addition to the cytoplasm. As shown in experiments with a BMB1 mutant, the localization of BMB1 to nuclear substructures enhances BMB-dependent virus transport. Thus, the virus transport mediated by BMB proteins is modulated by (i) a BMB1-induced defense response that inhibits transport, (ii) suppression of the BMB1-induced response by BMB2, and (iii) the nuclear localization of BMB1 that promotes virus transport. Collectively, the data presented demonstrate multiple levels of interactions between viral pathogens and their plant hosts during virus cell-to-cell transport. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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<p>BMB1 induces a defense response in <span class="html-italic">N. benthamiana</span>. (<b>A</b>) A PCD-like defense response in a leaf region agroinfiltrated for expression of BMB1 and coexpression of BMB1 and BMB2. An empty vector was used as a control. The leaf was imaged at 5 dpi. (<b>B</b>) ROS accumulation in leaves agroinfiltrated for expression of BMB1. DAB staining was carried out at 3 dpi. Scale bars in (<b>A</b>,<b>B</b>), 1 cm. (<b>C</b>,<b>D</b>) Staining of callose depositions with aniline blue in cell walls of leaves agroinfiltrated for expression of empty vector (<b>C</b>) and BMB1 (<b>D</b>) at 2 dpi. Typical images are shown. Scale bar in (<b>C</b>,<b>D</b>), 20 μm. (<b>E</b>) Quantification of callose staining data. Average integrated intensities of signal calculated for individual callose deposition spots are shown; error bars indicate the standard error. More than 500 individual callose deposition spots were measured on five agroinfiltrated leaves to calculate the values shown. Asterisks indicate a statistically significant difference (***, <span class="html-italic">p</span> &lt; 0.001) according to the Student’s <span class="html-italic">t</span>-test. (<b>F</b>) The expression level of 9-LOX in leaves agroinfiltrated for expression of empty vector and BMB1. Samples were collected at 2 dpi. Average expression levels determined by qPCR are shown; error bars indicate the standard error. Ten biological replicates were used to calculate each value shown. The asterisk indicates a statistically significant difference (*, <span class="html-italic">p</span> &lt; 0.5) according to the Student’s <span class="html-italic">t</span>-test.</p>
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<p>BMB2 suppresses the defense response induced by BMB1. (<b>A</b>,<b>B</b>) The efficiency of virus transport depends on the ratio of BMB1 to BMB2. In the virus transport complementation assay, <span class="html-italic">N. benthamiana</span> leaves were agroinfiltrated for coexpression of PVX-POL-GFP with a combination of BMB1 and BMB2 at a BMB1:BMB2 ratio of either 1:1 ((<b>A</b>,<b>B</b>), left leaf halves), 10:1 ((<b>A</b>), right leaf half), or 1:10 ((<b>B</b>), right leaf half). Leaves were imaged under UV light at 4 dpi. (<b>C</b>) BMB2 suppresses callose deposition induced by BMB1 expression, as determined by quantification of callose staining data obtained for leaves agroinfiltrated for expression of vector, BMB1, BMb1 + BMB2, or BMB1 + BMB2mutN. Average integrated signal intensities calculated for individual callose deposition spots are shown; error bars indicate the standard error. More than 500 individual callose deposition spots were measured on five agroinfiltrated leaves to calculate the values shown. Asterisks indicate a statistically significant difference (***, <span class="html-italic">p</span> &lt; 0.001) according to Student’s <span class="html-italic">t</span>-test. NS, not statistically significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Localization of BMB1 to nuclear substructures. (<b>A</b>,<b>B</b>) Coexpression of GFP-BMB1 with mRFP-Fib2. In different individual cells, moderate (<b>A</b>) or high (<b>B</b>) levels of GFP-BMB1 accumulation in the nucleolus were observed upon coexpression with mRFP-Fib2. (<b>C</b>) Coexpression of GFP-BMB1d22 with mRFP-Fib2. (<b>D</b>) Coexpression of GFP-BMB1 with mRFP. (<b>E</b>,<b>F</b>) Treatment with leptomycin B results in the accumulation of GFP-BMB1 in the nucleus (<b>F</b>) compared to an untreated cell expressing GFP-BMB1 (<b>E</b>). In (<b>A</b>–<b>D</b>), the left images represent the GFP channel, the center images represent the mRFP channel, and the right images are a superposition of the images for the GFP and mRFP channels. Arrows point to Cajal bodies. Scale bars: 5 μm in (<b>A</b>–<b>D</b>,<b>F</b>); 10 μm in (<b>E</b>,<b>F</b>).</p>
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<p>Subcellular localization of BMB1 with artificially added NLS, NES, or FLAG. Confocal images show cells of <span class="html-italic">N. benthamiana</span> leaves agroinfiltrated for coexpression of GFP-BMB1 and mRFP (<b>A</b>), GFP-NLS-BMB1 and mRFP (<b>B</b>), GFP-FLAG-BMB1 and mRFP (<b>C</b>), GFP-NES-BMB1 and mRFP (<b>D</b>), GFP-NES2-BMB1 and mRFP (<b>E</b>), GFP-BMB1 and BMB2-mRFP (<b>F</b>), and GFP-NLS- BMB1 and BMB2-mRFP (<b>G</b>). The arrow in (<b>G</b>) points to the nucleus. The left images represent the GFP channel, the center images represent the mRFP channel, and the right images are a superposition of the images for the GFP and mRFP channels. Scale bars: 10 μm.</p>
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<p>Influence of NLS and FLAG added to the N-terminus of BMB1 on protein functions. (<b>A</b>) Influence of NLS and FLAG on virus cell-to-cell transport in the complementation assay. <span class="html-italic">N. benthamiana</span> leaves were agroinfiltrated for coexpression of PVX-POL-GFP and BMB2 with either empty vector, BMB1, FLAG-BMB1, or NLS-BMB1 as indicated. The leaf was imaged under UV light at 4 dpi. (<b>B</b>) Quantification of the diameter of infection foci in the complementation experiment. At least 30 loci were measured on four agroinfiltrated leaves to calculate each average value. Error bars indicate the standard error. (<b>C</b>) Quantification of callose deposition staining data for leaf areas agroinfiltrated for expression of empty vector, BMB1, FLAG-BMB1, or NLS-BMB1. More than 500 individual callose deposition spots were measured on five agroinfiltrated leaves to calculate the plotted average values. Error bars indicate the standard error. Differences between all pairs of values plotted in (<b>B</b>,<b>C</b>) are statistically significant (<span class="html-italic">p</span> &lt; 0.001).</p>
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<p>Dysfunctional BMB1 localized to the nucleus enhances virus transport. (<b>A</b>) Competence of BMB1-T71N and NLS-BMB1-T71N in virus transport. In a virus transport complementation assay, <span class="html-italic">N. benthamiana</span> leaves were agroinfiltrated for coexpression of PVX-POL-GFP with BMB2, and either empty vector, BMB1, BMB1-T71N, or NLS-BMB1-T71N. Leaves were imaged under UV light at 4 dpi. (<b>B</b>) Influence of dysfunctional BMB1 derivatives on virus cell-to-cell transport. In a virus transport complementation assay, <span class="html-italic">N. benthamiana</span> leaves were agroinfiltrated for coexpression of PVX-POL-GFP with BMB1, BMB2, and either BMB1-T71N or NLS-BMB1-T71N. Leaves were imaged under UV light at 4 dpi. (<b>C</b>) Quantification of the diameter of infection foci in the complementation experiment. At least 30 loci were measured on four agroinfiltrated leaves to calculate each average value. Error bars indicate the standard error. Differences between all pairs of values plotted in (<b>C</b>) are statistically significant (<span class="html-italic">p</span> &lt; 0.001).</p>
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