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16 pages, 6648 KiB  
Article
Calcium Sulfide Nanoclusters Trigger DNA Damage and Induce Cell Cycle Arrest in Non-Small-Cell Lung Adenocarcinoma Cells
by María M. Figueroa Rosado, Kevin Muñoz Forti, Patricia Rodríguez-Rodríguez, Gerardo Arroyo-Martínez, Valerie J. Rodríguez-Irizarry, Abigail Ruiz-Rivera, Jailenne I. Quinones-Rodriguez, Pedro G. Santiago-Cardona, Olga M. Rodriguez Martinez, Sharilyn Almodovar, Miguel E. Castro and Edu Suárez Martínez
Int. J. Mol. Sci. 2025, 26(4), 1665; https://doi.org/10.3390/ijms26041665 - 15 Feb 2025
Viewed by 495
Abstract
Lung cancer remains the most common malignancy independent of sex. Here, we focused on unraveling the molecular mechanisms of CaS nanoclusters inducing cytotoxicity by investigating DNA damage, the cell cycle, oxidative stress, and cellular repair mechanisms in non-small-cell lung carcinoma (NSCLC) cells compared [...] Read more.
Lung cancer remains the most common malignancy independent of sex. Here, we focused on unraveling the molecular mechanisms of CaS nanoclusters inducing cytotoxicity by investigating DNA damage, the cell cycle, oxidative stress, and cellular repair mechanisms in non-small-cell lung carcinoma (NSCLC) cells compared to healthy lung fibroblasts. Our previous studies have demonstrated the therapeutic potential of calcium sulfide (CaS) nanostructures in skin and breast cancer models, leading to a significant reduction in cancer cell proliferation. However, how CaS nanoclusters enhance their therapeutic effects on cancer cells while minimizing damage to healthy cells remains unknown. Our results show that CaS nanoclusters, once dissociated into Ca2+ and H2S in an acidic microenvironment, selectively allow extracellular calcium to enter, leading to an increase in free calcium entry, triggering oxidative stress and limiting DNA repair mechanisms in NSCLC. Furthermore, CaS nanoclusters selectively arrest NSCLC cells in the G0-G1 and S phases of the cell cycle without affecting healthy cells’ cycles. Here, we also show that the selective effects of CaS nanoclusters on lung adenocarcinoma are less likely to be regulated by intrinsic apoptotic or mitochondrial pathways. They are, rather, caused by an increase in Ca2+ and ROS, causing double-stranded DNA breakages. This selectivity for malignant cells is pH-dependent because it occurs in the acidic microenvironment characteristic of these cells. Overall, this is the first piece of evidence that CaS disrupts genomic stability, prevents the replication of damaged cells, and ultimately influences cell fate decisions such as cell cycle arrest or cell death including mitotic catastrophe and necroptotic simultaneous events. Full article
(This article belongs to the Special Issue Multifunctional Application of Biopolymers and Biomaterials 2.0)
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<p>Assessment of DNA damage in malignant lung (HCC827) cells treated with CaS nanostructures. Flow cytometry using directly conjugated antibodies identified cells with no DNA damage (<b>A</b>) or double-stranded DNA breaks (<b>B</b>); in addition, this assay identified cells with activation of ataxia telangiectasia mutated kinase (ATM) (<b>C</b>) and phosphorylated H2a.X (<b>D</b>). Data are indicated as mean and standard error of mean (SEM). Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (***, <span class="html-italic">p</span> &lt; 0.002; **, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Calcium concentration (md/dL) changes in malignant lung (HCC827) cells treated with CaS nanostructures. Cell supernatants were collected to measure calcium concentration by the o-Cresolphthalein–calcium reaction, which produces a purple complex that absorbs at 595 nm and 405 nm. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (****, <span class="html-italic">p</span> &lt; 0.002).</p>
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<p>Assessment of oxidative stress in malignant lung (HCC827) cells treated with CaS nanostructures. Flow cytometry was performed to determine the percentage of cells undergoing oxidative stress based on the intracellular detection of superoxide radicals. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (***, <span class="html-italic">p</span> &lt; 0.002; **, <span class="html-italic">p</span> &lt; 0.03).</p>
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<p>Changes in mitochondrial membrane potential in malignant lung (HCC827) cells treated with CaS clusters. We examined changes in mitochondrial membrane potential as an indicator of mitochondrial dysfunction and cellular health. Cells in depolarized, depolarized/dead, dead, or live states were identified by using a cationic lipophilic dye in combination with dead cell marker 7-AAD in flow cytometry. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (***, <span class="html-italic">p</span> &lt; 0.002; **, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Protein expression analysis of cytochrome C in malignant lung (HCC827) cells treated with CaS clusters. Data are indicated as mean and SEM. Pan Actin was used as a loading control; * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of CaS clusters on Annexin V levels in malignant (HCC827) and normal (MRC5) lung cells. We examined the impact of CaS clusters on human lung cells by measuring Annexin V by fluorescent cell counting at different time points. Live (Panels <b>A</b> and <b>D</b>), apoptotic (Panels <b>B</b> and <b>E</b>), and necrotic (Panels <b>C</b> and <b>F</b>) cells were identified by labeling Annexin V and propidium iodide. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (**, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Expression of caspase 3/7 in malignant lung (HCC827) cells treated with CaS clusters. We examined the impact of CaS clusters on the expression of caspase 3/7 by flow cytometry at different time points. Cells in early apoptosis, late apoptosis, live, or dead states were identified by a combination of caspase 3/7 proteolytic activity and dead cell marker 7-AAD. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (***, <span class="html-italic">p</span> &lt; 0.002; **, <span class="html-italic">p</span> &lt; 0.03).</p>
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<p>Protein expression analysis of apoptotic marker Bax in normal (MRC5) and malignant lung (HCC827) cells treated with CaS clusters. Data are indicated as mean and SEM. Pan Actin was used as a loading control. Statistical significance was set at <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; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Protein expression analysis of caspase 8 in normal (MRC5) and malignant lung (HCC827) cells treated with CaS clusters. Data are indicated as mean and SEM. Pan Actin was used as a loading control. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (**, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Protein expression analysis of cleaved caspase 8 in normal (MRC5) lung cells treated with CaS clusters. Data are indicated as mean and SEM. Pan Actin was used as a loading control. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (**, <span class="html-italic">p</span> &lt; 0.03).</p>
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<p>Changes in cell cycle phases in lung cells treated with CaS clusters. We examined the impact of CaS clusters on the cell cycle phases of human lung cells by measuring DNA content at different time points. Cells in resting (SubG0), normal growth (G1/G0), DNA synthesis (S), and growth/mitosis (G2/M) phases were identified after determining the proportion of cells in each stage of the cell cycle based on variations in DNA content. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (**, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in expression of αβ-tubulin in lung cells treated with CaS clusters. We examined the expression of αβ-tubulin by Western blot in normal (MRC5) and malignant lung (HCC827) cells. Data are indicated as mean and SEM. Statistical significance was set at <span class="html-italic">p</span> &lt; 0.05 (***, <span class="html-italic">p</span> &lt; 0.002; **, <span class="html-italic">p</span> &lt; 0.03; *, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Hypothetical model of the effects of CaS nanostructures on cellular pathways. This schematic illustration demonstrates how selective interactions between CaS nanostructures and the acidic extracellular microenvironment (ECM) of cancer cells trigger the release of hydrogen sulfide (H<sub>2</sub>S) and calcium ions (Ca<sup>2+</sup>). The influx of calcium ions into the cell increases intracellular Ca<sup>2+</sup> levels and, in addition, generates reactive oxygen species (ROS), which can lead to DNA damage through double-strand breaks (DSBs). Simultaneously, this increase in intracellular Ca<sup>2+</sup> contributes to cellular stress and potential damage mechanisms, which lead to a decrease in the G1/G0 phase, preventing the cells from completing the S phase after 24 h and progressing to G2/M.</p>
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24 pages, 3436 KiB  
Article
Transcription Factor Inhibition as a Potential Additional Mechanism of Action of Pyrrolobenzodiazepine (PBD) Dimers
by Julia Mantaj, Paul J. M. Jackson, Richard B. Parsons, Tam T. T. Bui, David E. Thurston and Khondaker Miraz Rahman
DNA 2025, 5(1), 8; https://doi.org/10.3390/dna5010008 - 5 Feb 2025
Viewed by 515
Abstract
Background: The pyrrolobenzodiazepine (PBD) dimer SJG-136 reached Phase II clinical trials in ovarian cancer and leukaemia in the UK and USA in the 2000s. Several structural analogues of SJG-136 are currently in clinical development as payloads for Antibody-Drug Conjugates (ADCs). There is growing [...] Read more.
Background: The pyrrolobenzodiazepine (PBD) dimer SJG-136 reached Phase II clinical trials in ovarian cancer and leukaemia in the UK and USA in the 2000s. Several structural analogues of SJG-136 are currently in clinical development as payloads for Antibody-Drug Conjugates (ADCs). There is growing evidence that PBDs exert their pharmacological effects through inhibition of transcription factors (TFs) in addition to arrest at the replication fork, DNA strand breakage, and inhibition of enzymes including endonucleases and RNA polymerases. Hence, PBDs can be used to target specific DNA sequences to inhibit TFs as a novel anticancer therapy. Objective: To explore the ability of SJG-136 to bind to the cognate sequences of transcription factors using a previously described HPLC/MS method, to obtain preliminary mechanistic evidence of its ability to inhibit transcription factors (TF), and to determine its effect on TF-dependent gene expression. Methods: An HPLC/MS method was used to assess the kinetics and thermodynamics of adduct formation between the PBD dimer SJG-136 and the cognate recognition sequence of the TFs NF-κB, EGR-1, AP-1, and STAT3. CD spectroscopy, molecular dynamics simulations, and gene expression analyses were used to rationalize the findings of the HPLC/MS study. Results: Notable differences in the rate and extent of adduct formation were observed with different DNA sequences, which might explain the variations in cytotoxicity of SJG-136 observed across different tumour cell lines. The differences in adduct formation result in variable downregulation of several STAT3-dependent genes in the human colon carcinoma cell line HT-29 and the human breast cancer cell line MDA-MB-231. Conclusions: SJG-136 can disrupt transcription factor-mediated gene expression, which contributes to its exceptional cytotoxicity in addition to the DNA-strand cleavage initiated by its ability to crosslink DNA. Full article
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<p>Structures of the naturally occurring anthramycin (<b>A</b>), the C8-<span class="html-italic">bis</span>-pyrrole PBD Conjugate GWL-78 (<b>B</b>), the PBD 4-(1-methyl-1<span class="html-italic">H</span>-pyrrol-3-yl)benzenamine (MPB) conjugate KMR-28-39 (<b>C</b>), the C8/C8’-linked PBD dimer SJG-136 (<b>D</b>), the structurally related PBD dimer ADC payloads, Tesirine (<b>E</b>), and Talirine (<b>F</b>).</p>
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<p>(<b>A</b>) Schematic diagram of the mechanism of covalent binding of a PBD molecule to a guanine base; (<b>B</b>) Low-energy snapshot of a molecular model of the PBD dimer SJG-136 (green) covalently bound to G5 and G14 (purple/magenta) of the consensus sequence of the transcription factor EGR-1. DNA bases involved in the non-covalent interactions are shown as cyan sticks. Blue colour represents nitrogen atom. Dash lines represent hydrogen bonds.</p>
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<p>Structure of the hairpin oligonucleotides used in this study that contain the cognate sequences of the transcription factors NF-κB (two possible sequences NF-κB-1 and NF-κB-2), EGR-1, AP-1, and STAT3.</p>
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<p>The interaction of SJG–136 with NF–κB–1. (<b>A</b>) HPLC chromatogram of NF–κB–1 alone; (<b>B</b>) HPLC chromatogram of the SJG–136/NF–κB–1 adduct; (<b>C</b>) MALDI–TOF spectrum of the NF–κB–1 sequence alone; (<b>D</b>) MALDI–TOF spectrum of the SJG–136/NF–κB–1 adduct.</p>
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<p>Interaction of SJG–136 with NF–κB–2. (<b>A</b>) HPLC chromatogram of NF–κB–2 alone; (<b>B</b>) HPLC chromatogram of the SJG–136/NF–κB–2 adduct; (<b>C</b>) MALDI-TOF spectrum of NF–κB–2 alone; (<b>D</b>) MALDI–TOF spectrum of the SJG–136/NF–κB–2 adduct.</p>
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<p>Interaction of SJG–136 with EGR–1. (<b>A</b>) HPLC chromatogram of EGR–1 alone; (<b>B</b>) HPLC chromatogram of SJG–136/EGR–1 adduct; (<b>C</b>) MALDI–TOF spectrum of EGR–1 alone; (<b>D</b>) MALDI–TOF spectrum of the SJG–136/EGR–1 adduct.</p>
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<p>Interaction of SJG–136 with AP–1. (<b>A</b>) HPLC chromatogram of AP–1 alone; (<b>B</b>) HPLC chromatogram of the SJG–136/AP–1 adduct; (<b>C</b>) MALDI-TOF spectrum of the AP–1 sequence alone; (<b>D</b>) MALDI–TOF spectrum of the SJG–136/AP–1 adduct.</p>
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<p>Interaction of SJG–136 with the STAT3 sequence. (<b>A</b>) HPLC chromatogram of the STAT3 hairpin alone; (<b>B</b>) HPLC chromatogram of the SJG–136/STAT-3 adducts; (<b>C</b>) MALDI–TOF spectrum of the STAT3 hairpin alone; (<b>D</b>) MALDI–TOF spectrum of the SJG-136/STAT–3 adduct. The same mass was observed for all three adducts formed.</p>
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<p>Interaction of SJG–136 with the AP–1 hairpin sequence. (<b>A</b>) CD spectrum of the AP–1 sequence alone (black) and the AP–1/SJG–136 complex at t = 0 h; (<b>B</b>) CD spectrum of the AP–1 sequence alone (black) and the AP–1/SJG–136 complex at t = 24 h.</p>
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<p>Low-energy snapshots of molecular models of the interaction of SJG-136 with the NF-κB-1 hairpin. (<b>A</b>) Mono-Alkylated Adduct: SJG-136 (blue) covalently bound to G3 (purple/magenta) of the NF-κB-1 hairpin. The central methylene linker of SJG-136 forms extensive van der Waals interactions with the A4:T20 base pair (yellow), and the unreacted PBD forms non-covalent interactions with the A6:T18 base pair (cyan), allowing the molecule to fit isosterically in the DNA minor groove; (<b>B</b>) Interstrand cross-linked Adduct: SJG-136 (blue) covalently bound to both G2 and G19 (magenta) of the NF-κB-1 hairpin. The central methylene linker of SJG-136 forms extensive van der Waals interactions with the A4:T20 base pair (yellow) with stabilising hydrogen bonds between the N10-proton of one PBD moiety and the ring nitrogen (N3) of the adjacent G3, and between the N10-proton of the other PBD moiety and the O4 atom of the neighbouring T20 base.</p>
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<p>The effect of SJG-136 on the expression of (<b>A</b>) STAT3-dependent genes in MDA-MB-231 cells and (<b>B</b>) AP-1-dependent genes in HT-29 cells expressed as fold-decrease. Experiments were performed in triplicates (<span class="html-italic">n</span> = 3). All data are mean ± SD. * = <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, NS = not significant.</p>
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16 pages, 3823 KiB  
Article
PlmCas12e Utilizes Glu662 to Prevent Cleavage Site Occupation by Positively Charged Residues Before Target Strand Cleavage
by Jinchu Liu and Lizhe Zhu
Molecules 2024, 29(21), 5036; https://doi.org/10.3390/molecules29215036 - 25 Oct 2024
Viewed by 658
Abstract
CRISPR-Cas12e is a recently identified gene-editing tool mainly known because its relatively small size benefits cell delivery. Drastically different from Cas9, it creates a blunt-end double-strand breakage of the DNA via two cleavage sites; Cas12e produces a sticky-end double-strand breakage of the DNA [...] Read more.
CRISPR-Cas12e is a recently identified gene-editing tool mainly known because its relatively small size benefits cell delivery. Drastically different from Cas9, it creates a blunt-end double-strand breakage of the DNA via two cleavage sites; Cas12e produces a sticky-end double-strand breakage of the DNA through only one cleavage site in its RuvC domain, meaning two consecutive cleavage events first on the non-target strand (ntsDNA) and then the target strand (tsDNA). Though crucial for Cas12e’s cleavage efficiency, the mechanism by which Cas12e loads tsDNA for the second cleavage remains elusive. Through molecular dynamics simulations and our recently matured traveling-salesman-based automated path-searching (TAPS) algorithm, we identified a series of positively charged residues (Arg856TSL, Arg768RuvC, Lys898TSL, Arg904TSL, Arg764RuvC) that guide the tsDNA backbone toward the cleavage site of wild-type PlmCas12e. Further simulations of the R856L and R904L mutants supported such observations. More interestingly, we found the key role of Glu662RuvC in coordinating Arg764RuvC, preventing its occupation of the cleavage site, and facilitating tsDNA cleavage. Additional simulations confirmed that mutating Glu662RuvC to valine disabled such coordination and created a stable intermediate state with Arg764RuvC occupying the cleavage site before tsDNA loading. These insights, revealing an elaborate mechanism of cleavage facilitation, offer essential guiding principles for future rational engineering of Cas12e into more efficient gene-editing tools. Full article
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<p>The transition processes underwent molecular dynamics simulation, and the structure of the ternary complex for the <span class="html-italic">Plm</span>Cas12e at the ntsDNA cleavage state. (<b>A</b>) The biological processes we studied in this paper are how the tsDNA is loaded into the cleavage site. (<b>B</b>) The ternary structure of the <span class="html-italic">Plm</span>Cas12e in its ntsDNA cleavage state: sgRNA is colored in pale blue, BH is colored in blue, RuvC is colored in green, Helical-II is colored in orange, OBD is colored in cyan, tsDNA is colored in magenta, ntsDNA is colored in grey, Helical-I is colored in yellow, TSL is colored in pink, and NTSB is colored in white.</p>
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<p>The MFEP of the tsDNA cleavage transition and the significant structural difference during the cleavage transition. Stage 1 is from Ini. to IS II, colored in blue; Stage 2 is from IS II to IS III, colored in green; Stage 3 is from IS III to Fin., colored in orange (<b>A</b>). The top one is the MFEP of the transition; the first stage is colored in blue, describing the tsDNA transported by protein domains; the second stage is colored in green, describing residues working in conjunction with protein domains while moving the tsDNA; and the third stage is colored in orange, describing the residues taking control of the tsDNA. The bottom one shows the distance from the tsDNA to the cleavage site during the transition process. (<b>B</b>) The structural differences between each IS, the protein is a transparent surface, tsDNA is colored in magenta, sgRNA is colored in pale blue, and ntsDNA is colored in grey; each different colored arrow corresponds to the color of the stage, and red circles are the location of the cleavage site. (<b>C</b>–<b>E</b>) The enlarged structural changes during the energy barriers.</p>
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<p>The atomistic structures of the different intermediate states. (<b>A</b>) The distance between each of the residues and tsDNA along the MFEP, IS II is in green, IS IV is colored in blue, and IS V is colored in purple; the yellow color indicates the distance threshold of 5 Å. (<b>B</b>–<b>D</b>) The structures at different intermediate states. The protein is transparent white cartoon or stick mode, sgRNA is colored in pale blue in cartoon mode, tsDNA’s base is colored in magenta, tsDNA’s backbone is colored in orange, and tsDNA is in cartoon or stick mode.</p>
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<p>MFEP for the mutations of R856L and R904L. (<b>A</b>,<b>B</b>) The comparison from R856L and R904L to wildtype MFEP; wildtype in black, R856L colored in red, and R904L colored in blue. (<b>C</b>) The distance between the tsDNA and residue 856<sup>TSL</sup>; wildtype colored in black, and the R856L mutation colored in red. (<b>D</b>) Distance between the cleavage site and residue 904<sup>TSL</sup>; wildtype colored in black, and the mutation colored in blue.</p>
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<p>Comparison between the wildtype and mutation structure around residue 662<sup>RuvC</sup>. (<b>A</b>) The comparison between the wildtype and the E662V mutation MFEP; wildtype in black and E662V colored in green; red number indicates the difference between the same IS for different MFEPs. (<b>B</b>) The IS V for the E662V mutation protein is colored in white, and sgRNA is colored in pale blue; tsDNA is colored in magenta, and Val662<sup>RuvC</sup> is colored in green. (<b>C</b>) The spatial location of the structure analysis; protein is colored in white cartoon or stick mode, sgRNA is colored in pale blue in cartoon mode; tsDNA is colored in magenta as a cartoon model. (<b>D</b>) The IS V for wildtype, protein is colored in white and sgRNA are colored in pale blue; tsDNA is colored in magenta.</p>
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20 pages, 947 KiB  
Review
Beyond the Chromosome: Recent Developments in Decoding the Significance of Extrachromosomal Circular DNA (eccDNA) in Human Malignancies
by Panagiotis Tsiakanikas, Konstantina Athanasopoulou, Ioanna A. Darioti, Vasiliki Taxiarchoula Agiassoti, Stamatis Theocharis, Andreas Scorilas and Panagiotis G. Adamopoulos
Life 2024, 14(8), 922; https://doi.org/10.3390/life14080922 - 24 Jul 2024
Viewed by 1944
Abstract
Extrachromosomal circular DNA (eccDNA) is a form of a circular double-stranded DNA that exists independently of conventional chromosomes. eccDNA exhibits a broad and random distribution across eukaryotic cells and has been associated with tumor-related properties due to its ability to harbor the complete [...] Read more.
Extrachromosomal circular DNA (eccDNA) is a form of a circular double-stranded DNA that exists independently of conventional chromosomes. eccDNA exhibits a broad and random distribution across eukaryotic cells and has been associated with tumor-related properties due to its ability to harbor the complete gene information of oncogenes. The complex and multifaceted mechanisms underlying eccDNA formation include pathways such as DNA damage repair, breakage–fusion–bridge (BFB) mechanisms, chromothripsis, and cell apoptosis. Of note, eccDNA plays a pivotal role in tumor development, genetic heterogeneity, and therapeutic resistance. The high copy number and transcriptional activity of oncogenes carried by eccDNA contribute to the accelerated growth of tumors. Notably, the amplification of oncogenes on eccDNA is implicated in the malignant progression of cancer cells. The improvement of high-throughput sequencing techniques has greatly enhanced our knowledge of eccDNA by allowing for a detailed examination of its genetic structures and functions. However, we still lack a comprehensive and efficient annotation for eccDNA, while challenges persist in the study and understanding of the functional role of eccDNA, emphasizing the need for the development of robust methodologies. The potential clinical applications of eccDNA, such as its role as a measurable biomarker or therapeutic target in diseases, particularly within the spectrum of human malignancies, is a promising field for future research. In conclusion, eccDNA represents a quite dynamic and multifunctional genetic entity with far-reaching implications in cancer pathogenesis and beyond. Further research is essential to unravel the molecular pathways of eccDNA formation, elucidate its functional roles, and explore its clinical applications. Addressing these aspects is crucial for advancing our understanding of genomic instability and developing novel strategies for tailored therapeutics, especially in cancer. Full article
(This article belongs to the Special Issue Genomics and Transcriptomics Research in Medicine)
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<p>Overview of the major mechanisms implicated in eccDNA formation.</p>
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<p>The physiological functions of eccDNA.</p>
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12 pages, 9212 KiB  
Article
Modeling Study of OH Radical-Dominated H-Abstraction Reaction for Understanding Nucleotides Oxidation Induced by Cold Atmospheric Plasmas
by Yu-Xuan Jiang, Yang Chen and Yuan-Tao Zhang
Plasma 2024, 7(2), 498-509; https://doi.org/10.3390/plasma7020026 - 19 Jun 2024
Cited by 1 | Viewed by 1131
Abstract
In recent years, plasma medicine, as an innovative and rapidly growing field, has garnered increasing attention. Nonetheless, the fundamental mechanisms of the interaction processes of cold atmospheric plasma (CAP) and biomolecules remain under investigation. In this paper, a reactive molecular dynamic (MD) simulation [...] Read more.
In recent years, plasma medicine, as an innovative and rapidly growing field, has garnered increasing attention. Nonetheless, the fundamental mechanisms of the interaction processes of cold atmospheric plasma (CAP) and biomolecules remain under investigation. In this paper, a reactive molecular dynamic (MD) simulation with ReaxFF potential was performed to explore the interactions of reactive oxygen species (ROS) produced in CAP, exemplified by OH radicals, and four distinct oligonucleotides. The breakage of single-stranded oligonucleotides induced by OH is observed in the simulation, which could seriously influence the biological activity of cellular DNA. The base release induced by OH radicals means the loss of base sequence information, and the H-abstraction at nucleobases affects the gene strand complementarity, gene transcription, and replication. In addition, the dose effects of OH radicals on bond formation and breaking of oligonucleotides are also discussed by adjusting the number of ROS in the simulation box. This study can enhance the comprehension of interactions between CAP and DNA, thereby indicating possible improvements in plasma device optimization and operation for medical applications. Full article
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<p>Schematic representation of a basic nucleotide molecule structure.</p>
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<p>A reactive MD simulation box with a single-stranded oligonucleotide and 15 OH radicals.</p>
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<p>Snapshots from MD simulations showing the reaction processes of OH radicals with <math display="inline"><semantics> <msub> <mi>C</mi> <mn>5</mn> </msub> </semantics></math> methyl group at thymine. The OH radical captures an H atom from the methyl group, as illustrated in (<b>a</b>), forming an unsaturated site. Subsequently, the liberated OH is adsorbed onto this site (<b>b</b>), forming hydroxymethyl groups (<b>c</b>). The surrounding OH radicals continue to break the C-H and O-H bonds of the hydroxymethyl group (indicated by red circles in (<b>c</b>)), ultimately forming the aldehyde group (<b>d</b>).</p>
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<p>Snapshots from MD simulations, showing the reaction processes of OH radicals with <math display="inline"><semantics> <msub> <mi>C</mi> <mn>2</mn> </msub> </semantics></math> amino group at guanine. One of the H atoms at C2 is abstracted by OH radicals, forming a water molecule (<b>a</b>). Following this, an H-atom at the N1 position is abstracted by an OH radical (<b>b</b>). Consequently, the N1, N2, and N3 atoms share unpaired electrons, forming the C2-centered product in its resonance form (<b>c</b>).</p>
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<p>Snapshots from MD simulations, showing the reaction processes of strand breakage upon the impact of OH radicals. The OH radical abstracts an H atom from the C2′ position, forming two products: a water molecule and a C2′ centered radical (<b>a</b>). Subsequently, C2 tends to establish a double bond with an adjacent carbon, such as C2′=C3′ (<b>b</b>).</p>
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<p>Snapshots from MD simulations, showing the reaction processes of base release upon the impact of OH radicals. The OH radical abstracts an H atom from C5′, forming a water molecule (<b>a</b>). To maintain stability, the resulting C5′ radical forms a C5′=C4′ double bond (<b>b</b>). This process leads to the cleavage of the C4′-O bond (<b>b</b>) and the conversion of the C1′-O bond into a C1′=O double bond (<b>c</b>). Subsequently, C1′ enters a supersaturated and unstable state, facilitating the detachment of the intact base from the sugar molecule while preserving the integrity of the backbone (<b>c</b>).</p>
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<p>The breaking-ratio of N-H bods upon impact of OH radicals.</p>
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<p>The breaking-ratio of C-H bods upon impact of OH radicals.</p>
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<p>The rupture ratio of 2-deoxyribose bonds upon impact of OH radicals.</p>
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8 pages, 1705 KiB  
Opinion
Macromutations Yielding Karyotype Alterations (and the Process(es) behind Them) Are the Favored Route of Carcinogenesis and Speciation
by Ingo Schubert
Cancers 2024, 16(3), 554; https://doi.org/10.3390/cancers16030554 - 28 Jan 2024
Cited by 4 | Viewed by 1524
Abstract
It is argued that carcinogenesis and speciation are evolutionary events which are based on changes in the ‘karyotypic code’ through a phase of ‘genome instability’, followed by a bottleneck of selection for the viability and adaptability of the initial cells. Genomic (i.e., chromosomal) [...] Read more.
It is argued that carcinogenesis and speciation are evolutionary events which are based on changes in the ‘karyotypic code’ through a phase of ‘genome instability’, followed by a bottleneck of selection for the viability and adaptability of the initial cells. Genomic (i.e., chromosomal) instability is caused by (massive) DNA breakage and the subsequent mis-repair of DNA double-strand breaks (DSBs) resulting in various chromosome rearrangements. Potential tumor cells are selected for rapid somatic proliferation. Cells eventually yielding a novel species need not only to be viable and proliferation proficient, but also to have a balanced genome which, after passing meiosis as another bottleneck and fusing with an identical gamete, can result in a well-adapted organism. Such new organisms should be genetically or geographically isolated from the ancestral population and possess or develop an at least partial sexual barrier. Full article
(This article belongs to the Special Issue The Role of Chromosomal Instability in Cancer)
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Figure 1
<p>After replication of a dicentric translocation product, and a twist of its sister chromatids between centromeres, an anaphase bridge can form (left part of the figure). The chance for twisting increases with the distance of centromeres. After random rupture of the bridge and another round of replication, the break-ends of the sister chromatids ‘fuse’, yielding again a bridge and another random break in the next anaphase, mediating complex rearrangements (right part of the figure), modified after Schubert (2021) [<a href="#B14-cancers-16-00554" class="html-bibr">14</a>].</p>
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<p>DSB repair pathways and potential molecular consequences, modified according to Vu et al. (2014) [<a href="#B18-cancers-16-00554" class="html-bibr">18</a>]. cNHEJ = classical NHEJ; MMEJ = microhomology-mediated end-joining; SDSA = synthesis-dependent strand annealing; SCE = sister chromatid exchange; CO = crossover.</p>
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<p>DSB repair by ligation of ends from different breaks results in various chromosome rearrangements. Dicentric chromatids resulting from asymmetric translocation, from crossover between inverted regions of homolgous chromosomes, or from dicentric rings yield anaphase bridges and subsequently complex rearrangements (see <a href="#cancers-16-00554-f001" class="html-fig">Figure 1</a>, modified according to Schubert, 2021 [<a href="#B14-cancers-16-00554" class="html-bibr">14</a>]).</p>
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<p>Balanced and unbalanced meiotic segregation of translocation chromosomes. Only the gametes with balanced translocation chromosomes are viable and, if fused with the same type of gamete, can lead to genetic isolation and speciation. Modified according to Schubert, 2021 [<a href="#B14-cancers-16-00554" class="html-bibr">14</a>].</p>
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<p>Chromosome rearrangements between the duckweed species <span class="html-italic">Spirodela polyrhiza</span> and <span class="html-italic">S. intermedia</span> as revealed by fluorescent in situ hybridisation with bacterial artificial chromosomes mapped to <span class="html-italic">S. polyrhiza</span> (Hoang &amp; Schubert 2017 [<a href="#B24-cancers-16-00554" class="html-bibr">24</a>]; modified according to Hoang et al. 2022 [<a href="#B25-cancers-16-00554" class="html-bibr">25</a>]). Frames in different color indicate (groups of) rearrangements. In particular, the first complex group of rearrangements likely occurred simultaneously.</p>
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12 pages, 1333 KiB  
Article
A Nested PCR Telomere Fusion Assay Highlights the Widespread End-Capping Protection of Arabidopsis CTC1
by María I. Vaquero-Sedas and Miguel A. Vega-Palas
Int. J. Mol. Sci. 2024, 25(1), 672; https://doi.org/10.3390/ijms25010672 - 4 Jan 2024
Viewed by 1755
Abstract
Telomeres protect the ends of linear eukaryotic chromosomes from being recognized as DNA double-strand breaks. Two major protein complexes are involved in the protection of telomeres: shelterin and CST. The dysfunction of these complexes can challenge the function of telomeres and lead to [...] Read more.
Telomeres protect the ends of linear eukaryotic chromosomes from being recognized as DNA double-strand breaks. Two major protein complexes are involved in the protection of telomeres: shelterin and CST. The dysfunction of these complexes can challenge the function of telomeres and lead to telomere fusions, breakage–fusion–bridge cycles, and cell death. Therefore, monitoring telomere fusions helps to understand telomeres biology. Telomere fusions are often analyzed by Fluorescent In Situ Hybridization (FISH) or PCR. Usually, both methods involve hybridization with a telomeric probe, which allows the detection of fusions containing telomeric sequences, but not of those lacking them. With the aim of detecting both types of fusion events, we have developed a nested PCR method to analyze telomere fusions in Arabidopsis thaliana. This method is simple, accurate, and does not require hybridization. We have used it to analyze telomere fusions in wild-type and mutant plants altered in CTC1, one of the three components of the Arabidopsis CST telomere capping complex. Our results show that null ctc1-2 mutant plants display fusions between all telomeric regions present in Arabidopsis chromosomes 1, 3 and 5, thus highlighting the widespread end-capping protection achieved by CTC1. Full article
(This article belongs to the Special Issue Telomeres in Development, Senescence and Genome Instability)
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Figure 1
<p>Design of a nested PCR procedure to detect telomere fusions. Schematic representation of two telomeric regions (A and B) and of the PCRs 2 and 3 products that are expected to be generated by the amplification of fusions between them. Telomeres (Tel) are represented by black filled rectangles and subtelomeres (Subtel) by white or grey filled rectangles. Whereas some PCRs 2 and 3 products could contain subtelomeric sequences and telomeric repeats, others might only contain subtelomeric sequences. A1, A2 and A3 refer to primers 1, 2 and 3 of telomeric region A (see text for a further explanation).</p>
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<p>Detection of telomere fusions in WT and <span class="html-italic">ctc1-2</span> mutant plants. The PCR products obtained after performing PCRs 2 and 3 with the primers designed to analyze the fusions of 3L with 1R (3L/1R) and of 5L with 5R (5L/5R) are shown. The expected size shifts of PCR2 products with regard to PCR3 products are indicated between parentheses. The left panels display agarose gels containing PCR products stained with ethidium bromide (EtBr). The middle panels show 1Kb plus DNA ladders (Invitrogen) also stained with ethidium bromide and run in the same gels. The right panels display the same PCR products shown on the left panels but run on different agarose gels and hybridized with a telomeric probe (Tel probe).</p>
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<p>Analysis of telomere fusions between Arabidopsis chromosomes 1, 3 and 5. Panels in this figure show the ethidium bromide staining of the PCRs 2 and 3 products obtained after analyzing fusions between all possible combinations of 1L, 1R, 3L, 3R, 5L and 5R. A 1Kb plus DNA ladder is shown at the left of each panel. The telomeric regions involved in the fusions are indicated together with the expected size shifts of the corresponding PCR2 products with regard to PCR3 products (between parentheses). Fusions were analyzed in two independent groups of WT plants (WT1 and WT2) and in <span class="html-italic">ctc1-2</span> mutant plants. Note that the expected size shift for 1L/3L is negative due to the fact that primer 3L3 is more telomere-distal than primer 3L2 (see <a href="#ijms-25-00672-t001" class="html-table">Table 1</a>) and that primers 1L3 and 1L2 largely overlap.</p>
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14 pages, 5620 KiB  
Article
SMYD3 Modulates AMPK-mTOR Signaling Balance in Cancer Cell Response to DNA Damage
by Martina Lepore Signorile, Paola Sanese, Elisabetta Di Nicola, Candida Fasano, Giovanna Forte, Katia De Marco, Vittoria Disciglio, Marialaura Latrofa, Antonino Pantaleo, Greta Varchi, Alberto Del Rio, Valentina Grossi and Cristiano Simone
Cells 2023, 12(22), 2644; https://doi.org/10.3390/cells12222644 - 17 Nov 2023
Cited by 6 | Viewed by 1851
Abstract
Cells respond to DNA damage by activating a complex array of signaling networks, which include the AMPK and mTOR pathways. After DNA double-strand breakage, ATM, a core component of the DNA repair system, activates the AMPK-TSC2 pathway, leading to the inhibition of the [...] Read more.
Cells respond to DNA damage by activating a complex array of signaling networks, which include the AMPK and mTOR pathways. After DNA double-strand breakage, ATM, a core component of the DNA repair system, activates the AMPK-TSC2 pathway, leading to the inhibition of the mTOR cascade. Recently, we showed that both AMPK and mTOR interact with SMYD3, a methyltransferase involved in DNA damage response. In this study, through extensive molecular characterization of gastrointestinal and breast cancer cells, we found that SMYD3 is part of a multiprotein complex that is involved in DNA damage response and also comprises AMPK and mTOR. In particular, upon exposure to the double-strand break-inducing agent neocarzinostatin, SMYD3 pharmacological inhibition suppressed AMPK cascade activation and thereby promoted the mTOR pathway, which reveals the central role played by SMYD3 in the modulation of AMPK-mTOR signaling balance during cancer cell response to DNA double-strand breaks. Moreover, we found that SMYD3 can methylate AMPK at the evolutionarily conserved residues Lys411 and Lys424. Overall, our data revealed that SMYD3 can act as a bridge between the AMPK and mTOR pathways upon neocarzinostatin-induced DNA damage in gastrointestinal and breast cancer cells. Full article
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Graphical abstract

Graphical abstract
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<p>Effects of NCS on the AMPK/mTOR pathways. (<b>a</b>) Immunoblotting showing the levels of proteins involved in the AMPK and mTOR pathways in HCT-116, MDA-MB-231, and AGS cells treated for 24 h with NCS (5 nM). (<b>b</b>) Immunoblotting showing the levels of proteins involved in the AMPK and mTOR pathways in SMYD3-KO cells (HCT-116 and MDA-MB-231) treated for 24 h with NCS (5 nM). H2AX phosphorylation (γH2AX) was analyzed as a control of the induced-DNA damage, VINCULIN was used as a loading control.</p>
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<p>Effects of NCS on the AMPK/mTOR pathways after pre-treatment with EM127. (<b>a</b>–<b>c</b>) Immunoblotting showing the levels of proteins involved in the AMPK and mTOR pathways in HCT-116 (<b>a</b>), AGS (<b>b</b>) and MDA-MB-231 (<b>c</b>) cells pre-treated with the SMYD3 inhibitor EM127 (5 μM) for 24 h and then treated with NCS (5 nM) for 24 h. VINCULIN was used as a loading control.</p>
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<p>Role of SMYD3 in the modulation of AMPK and mTOR signaling pathways. (<b>a</b>) Immunoblotting showing the levels of proteins involved in the AMPK pathway in HCT-116 cells pre-treated or not with EM127 (5 μM) for 24 h and then treated with NCS (5 nM) for 24 h and/or AICAR (5 mM) for 24 h. (<b>b</b>) Immunoblotting showing the levels of proteins involved in the mTOR pathway in HCT-116 cells pre-treated or not with EM127 (5μM) for 24 h and then treated with NCS (5 nM) for 24 h and/or rapamycin (100 nM) for 4 h. VINCULIN was used as a loading control.</p>
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<p>Functional interaction between SMYD3, AMPK, and mTOR. Co-immunoprecipitation of endogenous SMYD3, AMPK, or mTOR in HCT-116 and MDA-MB-231 cells treated or not with NCS (5 nM) for 24 h. Anti-IgGs were used as a negative control.</p>
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<p>SMYD3 methylates AMPK. (<b>a</b>) In vitro methylation assay showing AMPK (AAPK2) methylation by SMYD3. H4 was used as a SMYD3 control substrate. * <span class="html-italic">p</span> &lt; 0.05 vs active SMYD3 (<b>b</b>) In silico methylation prediction analysis. Three in silico prediction servers were used to identify AMPK consensus methylation sites: GPS-MSP, Methyl Sight, and Musite Deep. (<b>c</b>) MS/MS spectrum of SQSK411PYDIMAEVYR and AMK424QLDFEWK, two peptides obtained by double proteolytic digestion of SMYD3-methylated AMPK with the endoproteinases trypsin and Glu-C. (<b>d</b>) Multiple sequence alignment of human AAPK2 and homologous proteins from other species. UniProt IDs are indicated on the left. Lysines 411 and 424 (red boxes) are located in highly conserved regions. CAEEL: <span class="html-italic">C. elegans</span>, PONAB: <span class="html-italic">Pongo abelii</span>.</p>
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16 pages, 3172 KiB  
Article
Cell Cycle Reactivation, at the Start of Neurodegeneration, Induced by Forskolin and Aniline in Differentiated Neuroblastoma Cells
by Valentina Sturiale, Francesca Bruno, Desiree Brancato, Agata Grazia D’Amico, Grazia Maugeri, Velia D’Agata, Salvatore Saccone and Concetta Federico
Int. J. Mol. Sci. 2023, 24(18), 14373; https://doi.org/10.3390/ijms241814373 - 21 Sep 2023
Cited by 2 | Viewed by 1196
Abstract
A characteristic hallmark of Alzheimer’s disease (AD) is the intracellular accumulation of hyperphosphorylated tau protein, a phenomenon that appears to have associations with oxidative stress, double-stranded DNA breakage, and the de-condensation of heterochromatin. Re-entry into the cell division cycle appears to be involved [...] Read more.
A characteristic hallmark of Alzheimer’s disease (AD) is the intracellular accumulation of hyperphosphorylated tau protein, a phenomenon that appears to have associations with oxidative stress, double-stranded DNA breakage, and the de-condensation of heterochromatin. Re-entry into the cell division cycle appears to be involved in the onset of this neurodegenerative process. Indeed, the cell cycle cannot proceed regularly in the differentiated neurons leading to cell death. Here, we induced cell cycle reactivation in neuronal-like cells, obtained by neuroblastoma cells treated with retinoic acid, by exposure to forskolin or aniline. These compounds determine tau hyperphosphorylation or oxidative stress, respectively, resulting in the appearance of features resembling the start of neuronal degeneration typical of AD, such as tau hyperphosphorylation and re-entry into the cell cycle. Indeed, we detected an increased transcriptional level of cyclins and the appearance of a high number of mitotic cells. We also observed a delay in the initiation of the cell cycle when forskolin was co-administered with pituitary adenylate cyclase-activating polypeptide (PACAP). This delay was not observed when PACAP was co-administered with aniline. Our data demonstrate the relevance of tau hyperphosphorylation in initiating an ectopic cell cycle in differentiated neuronal cells, a condition that can lead to neurodegeneration. Moreover, we highlight the utility of neuroblastoma cell lines as an in vitro cellular model to test the possible neuroprotective effects of natural molecules. Full article
(This article belongs to the Special Issue Epigenetics in Neurodegenerative Diseases)
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<p>Neuronal differentiation of the SH-SY5Y cells. (<b>A</b>) replicative and (<b>B</b>) retinoic acid differentiated cells with α-tubulin immunolocalization (green signals). Cell nuclei were stained with DAPI (blue). (<b>C</b>) Expression level of the neuronal differentiation marker GAP-43 by qRT-PCR. (<b>D</b>) Expression level of cyclins <span class="html-italic">CCND1</span>, <span class="html-italic">CCNE1</span>, <span class="html-italic">CCNA2</span>, <span class="html-italic">CCNB1</span> in SH-SY5Y replicative and differentiated cells by qRT-PCR. Scale bars: (<b>A</b>) 20 μm; (<b>B</b>) 40 μm. RQ: relative quantitation. *** statistical significance, obtained by two tails <span class="html-italic">t</span>-test: <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Dual color immunolocalization of tau epitopes in SH-SY5Y cells. (<b>A</b>–<b>C</b>) Replicative SH-SY5Y cells with the visualization of Tau-1, Tau-5, and AT8 epitopes, respectively. (<b>D</b>–<b>F</b>) Differentiated SH-SY5Y cells with the visualization of Tau-1, Tau-5, and AT8 epitopes, respectively. Tau-1, Tau-5, and AT8 were revealed by FITC-conjugated antibodies (green signals). Ki-67 (replication marker) and UBTF (nucleolar marker) were detected by TRITC-conjugated antibodies (red signals). DAPI (blue signals) was used to stain cell nuclei. White arrow in (<b>E</b>) indicates a cell nucleus with the presence of the Ki-67 marker. White arrow in (<b>F</b>) indicates the co-localization of AT8 and UBTF in a nucleus. Magnification is the same for all the images, with a unique scale bar shown in (<b>F</b>): 10 μm. The images were captured by confocal laser scanning microscope at 630× magnification. Software to analyze signal co-localization was ZEN-2010 (see <a href="#sec4-ijms-24-14373" class="html-sec">Section 4</a>).</p>
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<p><span class="html-italic">MAPT</span> gene structure and alternative splicing analysis. (<b>A</b>) Schematic structure of <span class="html-italic">MAPT</span> gene with constitutive exons in blue, alternative spliced exons in red. The size (bp) indicated by the asterisk (*) for exon 1 and exon 13 starts with the start codon (exon 1) and ends with the stop codon (exon 13). Exons 4A, 6, and 8 (not detected in SH-SY5Y cells) are not shown. Primers used are indicated by arrows (F: forward and R: reverse). (<b>B</b>) Gel electrophoresis showing the DNA segments obtained by RT-PCR amplification of the exons involved in the alternative splicing of the <span class="html-italic">MAPT</span> gene, in replicative (Repl.) and differentiated (Diff.) cells. F1-R4 primers detected the 0N tau isoform; F9/10-R12 and F9/11-R12 detected 4R and 3R isoforms, respectively. (<b>C</b>) qRT-PCR showing the 0N, 3R, and 4R isoforms in replicative and differentiated cells. RQ: relative quantitation. NS: difference statistically not significant. Primer sequences are shown in <a href="#sec4-ijms-24-14373" class="html-sec">Section 4</a>.</p>
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<p>Effect of forskolin in cyclin expression. Cyclin expression in replicative (<b>A</b>,<b>B</b>) and differentiated (<b>C</b>,<b>D</b>) SH-SY5Y cells after 4 µM forskolin addition for 4 and 14 h. RQ: relative quantitation obtained by qRT-PCR. Graphs show the results of three independent experiments. Data are expressed as mean ± S.E.M. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate the statistical significance, obtained by unpaired two-tailed <span class="html-italic">t</span>-test, with respect to the control. NS: statistically not significant.</p>
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<p>Effect of forskolin in the SH-SY5Y differentiated cells. (<b>A</b>–<b>D</b>) Immunolocalization of phosphorylated AT8 tau epitope (green signals) and Ki-67 antigen (red signals) in differentiated cells after 14 h of forskolin treatment. Nuclei were stained with DAPI (blue). White arrows in panel (<b>D</b>) indicate cells at the metaphase/anaphase stages. (<b>A</b>–<b>C</b>) The single fluorescence channels of the merged image shown in (<b>D</b>). In the upper area of (<b>A</b>–<b>D</b>), the enlarged sector (the white square indicated by the asterisk) highlights one of the shown cells at the metaphase stage. At the bottom of (<b>A</b>–<b>D</b>), the enlarged sector (the white square indicated by the symbol #) highlights some cells where AT8 signals are not visible within the nuclei. Images (<b>A</b>–<b>D</b>) were captured by means of confocal laser scanning microscope at 400× magnification with slice size of 0.5 µm. The upper and bottom enlarged sectors were captured at 630× magnification. Scale bars are indicated in the merge panels.</p>
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<p>Effect of aniline in the SH-SY5Y cells. Replicative (<b>A</b>,<b>B</b>) and differentiated (<b>C</b>,<b>D</b>) cells exposed to different amount of aniline for 4 and 14 h. RQ: relative quantitation evaluated by qRT-PCR. Graphs show the results of three independent experiments. Data are expressed as mean ± S.E.M. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001 indicate the statistical significance, obtained by unpaired two-tailed <span class="html-italic">t</span>-test, with respect to the control. NS: statistically not significant.</p>
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<p>Expression analysis of cyclins in differentiated SH-SY5Y cells treated with forskolin or aniline supplemented with PACAP. (<b>A</b>) Forskolin and forskolin/PACAP treatments. (<b>B</b>) Aniline and aniline/PACAP treatments. Control: differentiated untreated cells at 0 (start), 4, 14, 24, and 48 h. RQ: relative quantitation obtained by qRT-PCR. Statistical significance was evaluated by two-tail <span class="html-italic">t</span>-test. Controls at the various times were compared with respect to the differentiated untreated cells (start). Forskolin or aniline treatments at the various times were compared with the corresponding control at the same treatment time. Forskolin/PACAP or aniline/PACAP treatments at the various times were compared with the corresponding forskolin or aniline treatments, respectively, at the same time. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001. NS: statistically not significant.</p>
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<p>Example of co-localization of IIF signals in the cell nucleus. (<b>A</b>) serial section along the z-axis of a cell showing detection of tau (green signals) and ki-67 (red signals). Each image (from 1 to 15) corresponds to a serial section of 0.3 µm thickness. (<b>B</b>) Orthogonal view of the same cell shown in (<b>A</b>). In the upper part is presented a view of cell section along the green horizontal line. In the right part is presented a view of the cell section along the red vertical line. (<b>C</b>) The same cell is shown in (<b>A</b>) with the fluorescence intensity (graph on the left) of the tau (green), Ki-67 (red), and DAPI (blue) along the red line indicated by the number 1. The images show the localization in the same nuclear compartment of the analyzed epitopes. Scale bars (5 µm) were indicated for each panel (<b>A</b>–<b>C</b>). Images were produced with the ZEN-2010 software.</p>
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11 pages, 4408 KiB  
Article
New Method of Isothermal, Hairpin Assisted, Primer Independent Amplification of DNA
by Denis Sergeevich Naberezhnov, Alexander Andreevich Alferov, Yuriy Borisovich Kuzmin and Nikolay Evgenievich Kushlinskii
BioChem 2023, 3(3), 142-152; https://doi.org/10.3390/biochem3030010 - 19 Sep 2023
Viewed by 2161
Abstract
The isothermal amplification of nucleic acids refers to processes that quickly increase the amount of DNA at a constant temperature. These methods are mainly developed as alternatives to PCR for cases in which the application of a thermal cycler is not possible or [...] Read more.
The isothermal amplification of nucleic acids refers to processes that quickly increase the amount of DNA at a constant temperature. These methods are mainly developed as alternatives to PCR for cases in which the application of a thermal cycler is not possible or the assay method must be as rapid as possible. We have developed a new method of isothermal amplification based on the formation of hairpins at the ends of DNA fragments containing palindromic sequences and increased by the hydrolysis of one or both DNA strands by restriction endonuclease, known as hairpin-assisted isothermal reaction (HAIR). The key steps in HAIR are the formation of a self-complementary hairpin and the DNA breakage introduced by nickase. The end hairpins facilitate primer-free amplification, the amplicon strand cleavage by nickase produces additional 3′ ends that serve as new amplification points, and the amount of DNA can increase exponentially. The rate of amplification in HAIR is more than five times the rate of loop-mediated isothermal amplification (LAMP), and the total amount of DNA product of HAIR is more than double the amount of the LAMP product. Full article
(This article belongs to the Special Issue RNA and Protein Dynamics: Latest Advances and Prospects)
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<p>Initiation of HAIR amplification. Formation of a self-amplifying product. (<b>a</b>) Primer annealing sites; (<b>b</b>) local denaturation of the DNA template and annealing of the first internal primer; (<b>c</b>) displacement of the complementary strand by DNA polymerase; (<b>d</b>) completion of the synthesis of the strand with AT repeat synthesis and annealing of the first internal primer on the DNA template; (<b>e</b>) displacement of the strand with the AT repeat by DNA polymerase; (<b>f</b>) complete displacement of the strand with the AT repeat and annealing of the second internal primer; (<b>g</b>) formation of a DNA duplex with the AT repeat and annealing of the second outer primer; (<b>h</b>) displacement of the strand with two AT repeats; (<b>i</b>) complete displacement of the chain with two AT repeats and annealing of the first internal primer; (<b>j</b>) formation of a DNA duplex with terminal AT repeats capable of self-amplification.</p>
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<p>Self-amplification of a DNA duplex with terminal AT repeats. (<b>a</b>) Linear form of self-amplifying DNA duplex; (<b>b</b>) hairpin form of self-amplifying DNA duplex; (<b>c</b>) self-amplification of the DNA duplex and displacement of DNA chains; (<b>d</b>) formation of single hairpin-form products with one terminal AT repeat; (<b>e</b>) formation of hairpins from AT repeats and synthesis of the chain; (<b>f</b>) formation of a double-length product; (<b>g</b>) cleavage of the DNA duplex by nickase and formation of a new 3′ end; (<b>h</b>) displacement of the strand by DNA polymerase; (<b>i</b>) formation of a single-stranded monomeric form of the product; (<b>j</b>) annealing of the AT 3′ end repeats to themselves; (<b>k</b>) after several cycles of self-amplification without the participation of nickase, a long concatemer is formed.</p>
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<p>Comparison of the amplification of DNA duplexes containing AT and GTAC terminal repeats and LAMP amplicon using (<b>a</b>) real-time amplification and (<b>b</b>) agarose gel electrophoresis.</p>
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<p>Time dependence of the amount and type of product of amplification.</p>
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<p>Comparison of amplification of DNA duplexes in the presence of restriction endonuclease FaiI using (<b>a</b>) real-time amplification and (<b>b</b>) agarose gel electrophoresis.</p>
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<p>Amplification of the cloned BRAF gene using (<b>a</b>) real-time amplification and (<b>b</b>) agarose gel electrophoresis.</p>
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24 pages, 7275 KiB  
Article
Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation
by Ibrahim M. Alanazi, Abdullah R. Alzahrani, Torki A. Zughaibi, Ahmed I. Al-Asmari, Shams Tabrez, Catherine Henderson, David Watson and Mary Helen Grant
Metabolites 2023, 13(6), 698; https://doi.org/10.3390/metabo13060698 - 27 May 2023
Viewed by 2006
Abstract
In this study, cobalt neurotoxicity was investigated in human astrocytoma and neuroblastoma (SH-SY5Y) cells using proliferation assays coupled with LC–MS-based metabolomics and transcriptomics techniques. Cells were treated with a range of cobalt concentrations between 0 and 200 µM. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay [...] Read more.
In this study, cobalt neurotoxicity was investigated in human astrocytoma and neuroblastoma (SH-SY5Y) cells using proliferation assays coupled with LC–MS-based metabolomics and transcriptomics techniques. Cells were treated with a range of cobalt concentrations between 0 and 200 µM. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay revealed cobalt cytotoxicity and decreased cell metabolism in a dose and time-dependent manner was observed by metabolomics analysis, in both cell lines. Metabolomic analysis also revealed several altered metabolites particularly those related to DNA deamination and methylation pathways. One of the increased metabolites was uracil which can be generated from DNA deamination or fragmentation of RNA. To investigate the origin of uracil, genomic DNA was isolated and analyzed by LC–MS. Interestingly, the source of uracil, which is uridine, increased significantly in the DNA of both cell lines. Additionally, the results of the qRT-PCR showed an increase in the expression of five genes Mlh1, Sirt2, MeCP2, UNG, and TDG in both cell lines. These genes are related to DNA strand breakage, hypoxia, methylation, and base excision repair. Overall, metabolomic analysis helped reveal the changes induced by cobalt in human neuronal-derived cell lines. These findings could unravel the effect of cobalt on the human brain. Full article
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<p>MTT assay measured in neuroblastoma cells at 24 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. SD values correspond to an average of 6 wells plate absorbance reading. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>MTT assay measured in neuroblastoma cells at 48 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>MTT assay measured in neuroblastoma cells at 72 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>MTT assay measured in astrocytoma cells at 24 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>MTT assay measured in astrocytoma cells at 48 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>MTT assay measured in astrocytoma cells at 72 h. Results are percentage values (Mean ± SD, <span class="html-italic">n</span> = 3) where 100% corresponds to control values. Cells were treated with cobalt in a culture medium throughout the experiment. Data were analyzed by One-way ANOVA followed by a Tukey test. * Represents significantly different mean values between treatment and control. <span class="html-italic">p</span>-value &lt; 0.05.</p>
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<p>Measurement of ROS fluorescence intensity in SH-SY5Y cells upon exposure to 100, 150, and 200 μM of cobalt for 24 h, using carboxy-H2DCFDA to detect ROS at an excitation wavelength of 495 nm and emission wavelength of 525 nm. Data are Mean ± SD, <span class="html-italic">n</span> = 3, and were analyzed by One-way ANOVA (<span class="html-italic">p</span>-value &lt; 0.05) followed by a Tukey test.</p>
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<p>Images of SH-SY5Y neuroblastoma cells without cobalt treatment (on the top left) and after treatment with 100 μM of cobalt (on the top right). Green fluorescence indicates the amount of ROS production in the cells. Pictures were taken using the Motic AE31 microscope-100 power-dry lenses [Scale bar indicates 100 µm].</p>
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<p>Measurement of ROS fluorescence intensity in U-373 cells upon exposure to 100, 150, and 200 μM of cobalt for 24 h, using carboxy-H2DCFDA at an excitation wavelength of 495 nm and emission wavelength of 525 nm for detection. Data are Mean ± SD, <span class="html-italic">n</span> = 3, and were analyzed by One-way ANOVA (<span class="html-italic">p</span>-value &lt; 0.05) followed by a Tukey test. *: Indicate significant change compared to control.</p>
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<p>Images of U-373 astrocytoma cells without cobalt treatment (on the left), and after treatment with 100 μM of cobalt for 24 h (on the top right and the two pictures below). Green fluorescence indicates the amount of ROS production in the cells. Pictures were taken using the Motic AE31 microscope-100 power-dry lenses [Scale bar indicates 100 µm].</p>
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<p>Images of U-373 astrocytoma cells without cobalt treatment (on the left), and after treatment with 100 μM of cobalt for 24 h (on the top right and the two pictures below). Green fluorescence indicates the amount of ROS production in the cells. Pictures were taken using the Motic AE31 microscope-100 power-dry lenses [Scale bar indicates 100 µm].</p>
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<p>A PCA-X score plot of the separation between control and cobalt-treated U-373 cells after 72 h of incubation (<span class="html-italic">n</span> = 3). *: Indicating statistically significant change.</p>
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<p>Extracted ion traces showing guanosine and a corresponding fragment for guanine and inosine and a corresponding fragment for hypoxanthine.</p>
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<p>Extracted ion traces showing a weak peak for methylcytidine and a trace showing possibly traces of methyl cytosine.</p>
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<p>A PCA-X score plot of the separation between control and cobalt-treated SH-SY5Y cells after 72 h of incubation (n = 3). *: Indicating statistically significant change.</p>
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<p>Extracted ion traces for PE 38:3 ether showing the effect of cobalt dose on its levels.</p>
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<p>Extracted ion traces showing the effect of cobalt dose on the levels of PC38:4.</p>
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<p>Extracted ion traces showing hydroxymethyldeoxycytidine, adenosine + deoxyguanosine, deoxyadenosine, deoxycytidine and methyldeoxycytidine.</p>
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<p>Extracted ion traces for hydroxy decanoic acid showing the effect of cobalt dose on its levels.</p>
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<p>Extracted ion traces for increased pentose phosphate pathway metabolites, sedoheptulose, ribose phosphate, and phosphogluconate.</p>
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42 pages, 1258 KiB  
Review
An Overview of Comet Assay Application for Detecting DNA Damage in Aquatic Animals
by Nan Jiang, Saima Naz, Yulin Ma, Qudrat Ullah, Muhammad Zahoor Khan, Jiaqi Wang, Xuan Lu, Dun-Zhu Luosang, Sadia Tabassum, Ahmad Manan Mustafa Chatha and Wang-Dui Basang
Agriculture 2023, 13(3), 623; https://doi.org/10.3390/agriculture13030623 - 5 Mar 2023
Cited by 28 | Viewed by 10208
Abstract
This review discusses several research studies that employed comet assay to evaluate the environmental impact of genotoxins in aquatic environments. It focuses on in vivo and in situ studies of aquatic animals. New chemicals are being added each year to the existing burden [...] Read more.
This review discusses several research studies that employed comet assay to evaluate the environmental impact of genotoxins in aquatic environments. It focuses on in vivo and in situ studies of aquatic animals. New chemicals are being added each year to the existing burden of toxic substances in the environment. Excessive agricultural and industrial activities adversely affect biodiversity, threatening the survival of species in a particular habitat, as well as posing disease risks to humans. Some of the chemicals, e.g., pesticides and heavy metals, may be genotoxic to the sentinel species and/or to non-target species, causing deleterious effects in somatic or germ cells. Comet assay is a quick, sensitive, and low-cost technique for detecting DNA strand breakage. However, the comet assay has much more to offer than being an assay for testing DNA strand breaks in animal organs. The use of repair enzymes increases the range of DNA lesions that can be detected with the assay. Comparing data from studies that employed different approaches, such as empirical scoring or comet tail lengths, comet assay is one of the challenging techniques to be utilized in environmental studies. The relative amount of DNA in the comet tail indicates DNA break intensity. The assay has been modified to detect various base alterations by including the digestion of nucleoids with a lesion-specific endonuclease. The determination of DNA damage in these indicator species using the comet test would thus offer information on the genotoxic potential of their habitat at an early stage. This would enable intervention techniques to prevent or mitigate adverse health impacts in sentinel animals and humans. Full article
(This article belongs to the Special Issue Sustainable Aquaculture: Current Perspectives and Future Challenges)
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<p>Schematic diagram showing methodology of comet assay.</p>
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<p>Target cells for comet assay in aquatic organisms.</p>
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21 pages, 1439 KiB  
Review
Role of Cockayne Syndrome Group B Protein in Replication Stress: Implications for Cancer Therapy
by John R. Walker and Xu-Dong Zhu
Int. J. Mol. Sci. 2022, 23(18), 10212; https://doi.org/10.3390/ijms231810212 - 6 Sep 2022
Cited by 6 | Viewed by 2959
Abstract
A variety of endogenous and exogenous insults are capable of impeding replication fork progression, leading to replication stress. Several SNF2 fork remodelers have been shown to play critical roles in resolving this replication stress, utilizing different pathways dependent upon the nature of the [...] Read more.
A variety of endogenous and exogenous insults are capable of impeding replication fork progression, leading to replication stress. Several SNF2 fork remodelers have been shown to play critical roles in resolving this replication stress, utilizing different pathways dependent upon the nature of the DNA lesion, location on the DNA, and the stage of the cell cycle, to complete DNA replication in a manner preserving genetic integrity. Under certain conditions, however, the attempted repair may lead to additional genetic instability. Cockayne syndrome group B (CSB) protein, a SNF2 chromatin remodeler best known for its role in transcription-coupled nucleotide excision repair, has recently been shown to catalyze fork reversal, a pathway that can provide stability of stalled forks and allow resumption of DNA synthesis without chromosome breakage. Prolonged stalling of replication forks may collapse to give rise to DNA double-strand breaks, which are preferentially repaired by homology-directed recombination. CSB plays a role in repairing collapsed forks by promoting break-induced replication in S phase and early mitosis. In this review, we discuss roles of CSB in regulating the sources of replication stress, replication stress response, as well as the implications of CSB for cancer therapy. Full article
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<p>Schematic diagram of CSB.</p>
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<p>CSB regulates replication stress through multiple mechanisms. (<b>A</b>) CSB suppresses a variety of sources of replication stress. (<b>B</b>) CSB promotes fork reversal, and this activity is dependent upon its ATPase activity, which is controlled by ATM-dependent phosphorylation of CSB on S10 in vivo. CSB also promotes BIR-mediated repair of collapsed forks to facilitate fork restart. (<b>C</b>) Under pathological conditions lacking BRCA1 or BRCA2, CSB promotes fork degradation through both catalyzing fork reversal and recruiting MRE11 to stalled forks. The latter is controlled by CDK-dependent phosphorylation of CSB on T1031.</p>
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<p>CSB promotes MiDAS through several possible mechanisms. CSB could act in parallel to facilitate RAD52-mediated strand annealing (arrow 1). CSB could prepare DNA substrates suitable for POLD3-mediated DNA synthesis (arrow 2). CSB could recruit POLD3 to sites of DNA synthesis to promote MiDAS (arrow 3).</p>
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16 pages, 4152 KiB  
Article
Identification of Recurrent Chromosome Breaks Underlying Structural Rearrangements in Mammary Cancer Cell Lines
by Natalie C. Senter, Andrew McCulley, Vladimir A. Kuznetsov and Wenyi Feng
Genes 2022, 13(7), 1228; https://doi.org/10.3390/genes13071228 - 11 Jul 2022
Cited by 2 | Viewed by 2307
Abstract
Cancer genomes are characterized by the accumulation of small-scale somatic mutations as well as large-scale chromosomal deletions, amplifications, and complex structural rearrangements. This characteristic is at least partially dependent on the ability of cancer cells to undergo recurrent chromosome breakage. In order to [...] Read more.
Cancer genomes are characterized by the accumulation of small-scale somatic mutations as well as large-scale chromosomal deletions, amplifications, and complex structural rearrangements. This characteristic is at least partially dependent on the ability of cancer cells to undergo recurrent chromosome breakage. In order to address the extent to which chromosomal structural rearrangement breakpoints correlate with recurrent DNA double-strand breaks (DSBs), we simultaneously mapped chromosome structural variation breakpoints (using whole-genome DNA-seq) and spontaneous DSB formation (using Break-seq) in the estrogen receptor (ER)-positive breast cancer cell line MCF-7 and a non-cancer control breast epithelium cell line MCF-10A. We identified concurrent DSBs and structural variation breakpoints almost exclusively in the pericentromeric region of chromosome 16q in MCF-7 cells. We fine-tuned the identification of copy number variation breakpoints on 16q. In addition, we detected recurrent DSBs that occurred in both MCF-7 and MCF-10A. We propose a model for DSB-driven chromosome rearrangements that lead to the translocation of 16q, likely with 10q, and the eventual 16q loss that does not involve the pericentromere of 16q. We present evidence from RNA-seq data that select genes, including SHCBP1, ORC6, and MYLK3, which are immediately downstream from the 16q pericentromere, show heightened expression in MCF-7 cell line compared to the control. Data published by The Cancer Genome Atlas show that all three genes have increased expression in breast tumor samples. We found that SHCBP1 and ORC6 are both strong poor prognosis and treatment outcome markers in the ER-positive breast cancer cohort. We suggest that these genes are potential oncogenes for breast cancer progression. The search for tumor suppressor loss that accompanies the 16q loss ought to be augmented by the identification of potential oncogenes that gained expression during chromosomal rearrangements. Full article
(This article belongs to the Special Issue Genome Maintenance and Cancer Predisposition)
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<p>Experimental design. Work flow for multi-dimensional genomic queries of the MCF-7 and MCF-10A cell lines for the identification of cancer-specific chromosome breakage sites and potentially impacted genes. The color-coded nodes denote the analytical steps utilizing the highlighted computational methods.</p>
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<p>Break-seq analysis identifies cancer-specific chromosome breakage sites in the MCF-7 cell line. (<b>A</b>) Number of DSBs identified in each replicate experiment for both MCF-7 and MCF-10A. (<b>B</b>) Venn diagrams of consensus DSBs found in all four replicate experiments for MCF-7 and MCF-10A. (<b>C</b>) Examples of cancer-specific consensus DSBs in MCF-7 cells and not in MCF-10A cells. The genes proximal to the chromosome breaks are BCAR1, CKM, and DOK5, located on chromosome 16q, 19q, and 20q, respectively. (<b>D</b>) Distribution of DSBs overlapping genomic features in each of the five categories as indicated. (<b>E</b>) Distribution of DSBs per chromosome. Those chromosomes with the highest and lowest number of DSBs per Mb of DNA are marked by red and blue asterisks, respectively.</p>
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<p>Structural variation and gene expression at the 16q pericentromere. (<b>A</b>) Break-seq profiles of all four replicate experiments in MCF-7 and MCF-10A cells on chr16. (<b>B</b>) Overlaid plots for DSB scores (top plot), DNA copy number (middle plot), and gene expression (bottom plot) for chr16. The DSB score and gene expression levels expressed as Log2 fold change (FC) in transcript level in MCF-7 over that in MCF-10A cells are plotted on the left, Y1, axis. The DNA copy numbers are plotted on the right, Y2, axis. (<b>C</b>) Expanded view of gene cluster immediately downstream of the pericentromeric region of 16q. FDR, false discovery rate.</p>
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<p>Copy number variations. Copy number profiles for (<b>A</b>) MCF-10A and (<b>B</b>) MCF-7 cells. Copy number is expressed as Log<sub>2</sub> transformed normalized sequence read counts in 15 kilobasepair (kbp) segments across the autosomes. Copy number profiles were generated after correction for GC content and mappability, followed by segmenting using default parameters in QDNAseq.</p>
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<p>Structural variations in MCF-10A and MCF-7 cell lines. (<b>A</b>) Circos displays of paired structural variation events detected by Socrates for MCF-10A (971 events) and MCF-7 (1334 events). Each chromosome is color-coded. Intra-chromosomal breakpoints are represented by the dome above the chromosome; the width of the dome corresponds to the number of events. Inter-chromosomal translocations are represented by ribbons connecting the two translocated chromosomes, with the thickness of the ribbon corresponding to the number of events. The bar graphs beneath the chromosome indicate the relative proportion of intra- (same color of the chromosome) and inter- (color of the connecting chromosome) chromosomal events. (<b>B</b>) Structural variants from paired chromosomal translocations were further classified into seven categories as indicated, and plotted as stacked column plots for each chromosome.</p>
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<p>Survival prediction analysis of breast cancer patients. The survival function of progression-free survival (PFS) time is analyzed. (<b>A</b>) Kaplan–Meier (K–M) plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">ORC6</span> expression level into low- and high-risk groups (expression value cut-off = 548). (<b>B</b>) K–M plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">SHCBP1</span> expression level into low- and high-risk groups (expression value cut-off = 157). (<b>C</b>) K–M plots for patients with primary ER-negative breast cancer discriminated by <span class="html-italic">ORC6</span> expression level into low- and high-risk groups. (<b>D</b>) K–M plots for patients with primary ER-negative breast cancer discriminated by <span class="html-italic">SHCBP1</span> expression level into low- and high-risk groups. (<b>E</b>) K–M plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">ORC6</span> expression level into low- and high-risk groups (expression value cut-off = 373). Cohort treatment: endocrine therapy + neoadjuvant therapy. (<b>F</b>) K–M plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">SHCBP1</span> expression level into low- and high-risk groups (expression value cut-off = 106). Cohort treatment: endocrine therapy + neoadjuvant therapy. (<b>G</b>) K–M plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">ORC6</span> expression level into low- and high-risk groups. Cohort treatment: endocrine therapy + adjuvant therapy (expression value cut-off = 692). (<b>H</b>) K–M plots for patients with primary ER-positive breast cancer discriminated by <span class="html-italic">ORC6</span> expression level into low- and high-risk groups (expression value cut-off = 205). Cohort treatment: endocrine therapy + adjuvant therapy. Higher risk (red color line) is associated with higher expression values.</p>
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18 pages, 3435 KiB  
Article
Genes Possessing the Most Frequent DNA DSBs Are Highly Associated with Development and Cancers, and Essentially Overlap with the rDNA-Contacting Genes
by Nickolai A. Tchurikov, Ildar R. Alembekov, Elena S. Klushevskaya, Antonina N. Kretova, Ann M. Keremet, Anastasia E. Sidorova, Polina B. Meilakh, Vladimir R. Chechetkin, Galina I. Kravatskaya and Yuri V. Kravatsky
Int. J. Mol. Sci. 2022, 23(13), 7201; https://doi.org/10.3390/ijms23137201 - 28 Jun 2022
Cited by 5 | Viewed by 2703
Abstract
Double-strand DNA breakes (DSBs) are the most deleterious and widespread examples of DNA damage. They inevitably originate from endogenous mechanisms in the course of transcription, replication, and recombination, as well as from different exogenous factors. If not properly repaired, DSBs result in cell [...] Read more.
Double-strand DNA breakes (DSBs) are the most deleterious and widespread examples of DNA damage. They inevitably originate from endogenous mechanisms in the course of transcription, replication, and recombination, as well as from different exogenous factors. If not properly repaired, DSBs result in cell death or diseases. Genome-wide analysis of DSBs has revealed the numerous endogenous DSBs in human chromosomes. However, until now, it has not been clear what kind of genes are preferentially subjected to breakage. We performed a genetic and epigenetic analysis of the most frequent DSBs in HEK293T cells. Here, we show that they predominantly occur in the active genes controlling differentiation, development, and morphogenesis. These genes are highly associated with cancers and other diseases. About one-third of the genes possessing frequent DSBs correspond to rDNA-contacting genes. Our data suggest that a specific set of active genes controlling morphogenesis are the main targets of DNA breakage in human cells, although there is a specific set of silent genes controlling metabolism that also are enriched in DSBs. We detected this enrichment by different activators and repressors of transcription at DSB target sites, as well breakage at promoters. We propose that both active transcription and silencing of genes give a propensity for DNA breakage. These results have implications for medicine and gene therapy. Full article
(This article belongs to the Special Issue DNA Damage, Genomic Instability and Human Diseases)
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<p><b>The characterization of the genes frequently targeted by DSBs in HEK293T cells</b>. (<b>A</b>) The top ten Gene Ontology (GO) biological process associations of genes subjected to breakage were determined using Profiler (<a href="https://biit.cs.ut.ee/gprofiler/gost" target="_blank">https://biit.cs.ut.ee/gprofiler/gost</a>, accessed 28 June 2022). The values to the right of the bars show the number of genes associated with a process. The complete list of the corresponding genes is shown in <a href="#app1-ijms-23-07201" class="html-app">Table S1</a>. (<b>B</b>) The top ten Gene Ontology biological process associations of 4920 rDNA-contacting genes (4C-rDNA) selected after DFAM filtering of 4C-rDNA reads and selection of about 16% of top genes that form the most frequent contacts with rDNA (see Methods). The values to the right of the bars show the number of genes associated with a process. The complete list of the corresponding genes is shown in <a href="#app1-ijms-23-07201" class="html-app">Table S2</a>. (<b>C</b>) A Venn diagram showing the intersections between 4920 genes targeted by DSBs and 4920 rDNA-contacting genes. <a href="#app1-ijms-23-07201" class="html-app">Table S3</a> shows the list of overlapping genes.</p>
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<p><b>The targets of DSBs and rDNA contacts at the cluster of <span class="html-italic">DUX4</span> genes in chr4.</b> The top half shows the sites of DSBs and rDNA-contacting sites inside and around the cluster of <span class="html-italic">DUX4</span> genes (shown in red and in blue, respectively) in IGB Browser. The upper lane, designated “DSBs meanwin”, shows the log10 values of the top 2.5% DSBs that delimit about 115 kb regions (see Methods). The lower lane, designated “DSBs”, shows the log10 values of all DSBs. The lane designated “4C-rDNA” shows the log10 values of all rDNA-contacting sites The distribution of DNaseI hypersensitive sites, layered H3K27ac marks, genome segmentation from ENCODE, histone modifications, and nucleosome positions inside the same region of chr4 are shown as in the UCSC Browser.</p>
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<p><b>The targets of DSBs and rDNA contacts at the <span class="html-italic">APP</span> gene in chr21.</b> The top half shows the sites of all DSBs and rDNA contacts inside and around the <span class="html-italic">APP</span> gene in IGB Browser. The distribution of DNaseI hypersensitive sites, layered H3K27ac marks, genome segmentation from ENCODE, histone modifications, and nucleosome positions inside the same region of chr21 are shown, as in the UCSC Browser.</p>
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<p><b>Analysis of expression patterns of genes possessing the most frequent DSBs</b>. Violin plots showing the distribution of genes along with their expression levels for all HEK293T genes (light violet), random genes (green or olive), DSBs (red), and overlapping genes between 4C-rDNA and DSBs (dark violet). The numbers of corresponding genes are shown at the top. TPM, transcripts per million.</p>
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<p><b>Distribution of DSBs in different portions of the human genome.</b> Percentages of DSB targets in different portions of the whole genome (left darker bars, hg38) and at DSB targets (right brighter bars). The values in the labels represent a percentage of the corresponding portion. The statistical significance of differences for each annotation column pair was assessed by T-test for two independent means. The differences in all column pairs are significant at the level <span class="html-italic">p</span> &lt; 10<sup>−15</sup>.</p>
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<p><b>Profiles of histone marks, binding sites of different factors, and DNaseI sites around DSB targets and rDNA contacting sites.</b> The profiles of the most frequent DSBs (top 2.5%) are shown in red, and Q1 DSBs (25%) in violet. The profiles of all rDNA-contacting sites are shown in blue. The z-scored signals ±1.5 kb around DSBs are indicated. Profiles for several histone marks are shown on a yellow background. Opposite profiles for DSBs and rDNA contacts are shown on a pink background. Opposite profiles for 2.5% of DSBs are shown on a cyan background. The same profiles for 4C and both DSB sets are shown on a blue background.</p>
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<p><b>DSB signal profiles around TSSs.</b> The data for bidirectional (red) and unidirectional (blue) promoter TSSs are shown. Data from EPD, GENCODE, and RefSeq TSS databases were used. Data are shown for ± 1000 bp span regions.</p>
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