Bingham et al., 2024 - Google Patents
High-dimensional comparison of monocytes and T cells in post-COVID and idiopathic pulmonary fibrosisBingham et al., 2024
View HTML- Document ID
- 16419548865511346337
- Author
- Bingham G
- Muehling L
- Li C
- Huang Y
- Ma S
- Abebayehu D
- Noth I
- Sun J
- Woodfolk J
- Barker T
- Bonham C
- Publication year
- Publication venue
- Frontiers in immunology
External Links
Snippet
Introduction Up to 30% of hospitalized COVID-19 patients experience persistent sequelae, including pulmonary fibrosis (PF). Methods We examined COVID-19 survivors with impaired lung function and imaging worrisome for developing PF and found within six months …
- 201000009794 Idiopathic Pulmonary Fibrosis 0 title abstract description 69
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/569—Immunoassay; Biospecific binding assay for micro-organisms, e.g. protozoa, bacteria, viruses
- G01N33/56966—Animal cells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/564—Immunoassay; Biospecific binding assay for pre-existing immune complex or autoimmune disease, i.e. systemic lupus erythematosus, rheumatoid arthritis, multiple sclerosis, rheumatoid factors or complement components C1-C9
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/574—Immunoassay; Biospecific binding assay for cancer
- G01N33/57407—Specifically defined cancers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/18—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/158—Expression markers
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
- G01N2800/50—Determining the risk of developing a disease
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wauters et al. | Discriminating mild from critical COVID-19 by innate and adaptive immune single-cell profiling of bronchoalveolar lavages | |
Zhao et al. | Clonal expansion and activation of tissue-resident memory-like TH17 cells expressing GM-CSF in the lungs of patients with severe COVID-19 | |
Vanderbeke et al. | Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity | |
Zhang et al. | Single-cell landscape of immunological responses in patients with COVID-19 | |
Brockmann et al. | Molecular and functional heterogeneity of IL-10-producing CD4+ T cells | |
Zheng et al. | Longitudinal transcriptome analyses show robust T cell immunity during recovery from COVID-19 | |
Giannella et al. | Circulating microRNA signatures associated with disease severity and outcome in COVID-19 patients | |
Malengier-Devlies et al. | Severe COVID-19 patients display hyper-activated NK cells and NK cell-platelet aggregates | |
Cai et al. | Single-cell immune profiling reveals functional diversity of T cells in tuberculous pleural effusion | |
Bingham et al. | High-dimensional comparison of monocytes and T cells in post-COVID and idiopathic pulmonary fibrosis | |
Yu et al. | Distinct immune signatures discriminate between asymptomatic and presymptomatic SARS-CoV-2pos subjects | |
Van Unen et al. | Identification of a disease-associated network of intestinal immune cells in treatment-naive inflammatory bowel disease | |
Marongiu et al. | Maturation signatures of conventional dendritic cell subtypes in COVID‐19 suggest direct viral sensing | |
Martin-Sanchez et al. | Immunological biomarkers of fatal COVID-19: a study of 868 patients | |
Leite et al. | Combined transcriptome and proteome leukocyte’s profiling reveals up-regulated module of genes/proteins related to low density neutrophils and impaired transcription and translation processes in clinical sepsis | |
Dai et al. | Characteristics of lymphocyte subset alterations in COVID-19 patients with different levels of disease severity | |
Fan et al. | Utilizing single-cell RNA sequencing for analyzing the characteristics of PBMC in patients with Kawasaki disease | |
Thompson et al. | Mitochondrial induced T cell apoptosis and aberrant myeloid metabolic programs define distinct immune cell subsets during acute and recovered SARS-CoV-2 infection | |
Borrmann et al. | Extensive blood transcriptome analysis reveals cellular signaling networks activated by circulating glycocalyx components reflecting vascular injury in COVID-19 | |
Zheng et al. | Construction and validation of a robust prognostic model based on immune features in sepsis | |
Xu et al. | Decreased T cell levels in critically ill coronavirus patients: Single-center, prospective and observational study | |
Li et al. | T-Cell repertoire characteristics of asymptomatic and re-detectable positive COVID-19 patients | |
Fan et al. | Impairment of Wnt/β-catenin signaling in blood cells of patients with severe cavitary pulmonary tuberculosis | |
Wang et al. | Diagnostic and predictive values of pyroptosis-related genes in sepsis | |
Chen et al. | Activated autophagy of innate immune cells during the early stages of major trauma |