Odak et al., 2024 - Google Patents
Systems biology analysis reveals distinct molecular signatures associated with immune responsiveness to the BNT162b COVID-19 vaccineOdak et al., 2024
View HTML- Document ID
- 1546320658218606914
- Author
- Odak I
- Riemann L
- Sandrock I
- Cossmann A
- Ramos G
- Hammerschmidt S
- Ritter C
- Friedrichsen M
- Hassan A
- Dopfer-Jablonka A
- Stankov M
- Weskamm L
- Addo M
- Ravens I
- Willenzon S
- Schimrock A
- Ristenpart J
- Janssen A
- Barros-Martins J
- Hansen G
- Falk C
- Behrens G
- Förster R
- Publication year
- Publication venue
- EBioMedicine
External Links
Snippet
Background Human immune responses to COVID-19 vaccines display a large heterogeneity of induced immunity and the underlying immune mechanisms for this remain largely unknown. Methods Using a systems biology approach, we longitudinally profiled a unique …
- 238000004458 analytical method 0 title abstract description 60
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
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
- G01N33/5044—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics involving specific cell types
- G01N33/5047—Cells of the immune system
- G01N33/505—Cells of the immune system involving T-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
- G01N33/53—Immunoassay; Biospecific binding assay
- G01N33/569—Immunoassay; Biospecific binding assay for micro-organisms, e.g. protozoa, bacteria, viruses
-
- 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
-
- 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
-
- 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
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gangaev et al. | Identification and characterization of a SARS-CoV-2 specific CD8+ T cell response with immunodominant features | |
Bergamaschi et al. | Systemic IL-15, IFN-γ, and IP-10/CXCL10 signature associated with effective immune response to SARS-CoV-2 in BNT162b2 mRNA vaccine recipients | |
Arlehamn et al. | Transcriptional profile of tuberculosis antigen–specific T cells reveals novel multifunctional features | |
Scriba et al. | Sequential inflammatory processes define human progression from M. tuberculosis infection to tuberculosis disease | |
Obermoser et al. | Systems scale interactive exploration reveals quantitative and qualitative differences in response to influenza and pneumococcal vaccines | |
Chandran et al. | Rapid synchronous type 1 IFN and virus-specific T cell responses characterize first wave non-severe SARS-CoV-2 infections | |
Mysore et al. | Protective heterologous T cell immunity in COVID-19 induced by the trivalent MMR and Tdap vaccine antigens | |
Bartholomeus et al. | Transcriptome profiling in blood before and after hepatitis B vaccination shows significant differences in gene expression between responders and non-responders | |
Moon et al. | Cytotoxic CD8+ T cells target citrullinated antigens in rheumatoid arthritis | |
Gardinassi et al. | Blood transcriptional profiling reveals immunological signatures of distinct states of infection of humans with Leishmania infantum | |
Menicucci et al. | Antiviral innate responses induced by VSV-EBOV vaccination contribute to rapid protection | |
JP2013511981A (en) | Blood transcript signatures contrast active TB infection with latent M. infection | |
Raeven et al. | Molecular signatures of the evolving immune response in mice following a Bordetella pertussis infection | |
Satti et al. | Current approaches toward identifying a correlate of immune protection from tuberculosis | |
Tomalka et al. | The transcription factor CREB1 is a mechanistic driver of immunogenicity and reduced HIV-1 acquisition following ALVAC vaccination | |
Odak et al. | Systems biology analysis reveals distinct molecular signatures associated with immune responsiveness to the BNT162b COVID-19 vaccine | |
Thiébaut et al. | Gene expression signatures associated with immune and virological responses to therapeutic vaccination with dendritic cells in HIV-infected individuals | |
Singhania et al. | CD4+ CCR6+ T cells dominate the BCG-induced transcriptional signature | |
Tong et al. | Characterizing the cellular and molecular variabilities of peripheral immune cells in healthy recipients of BBIBP-CorV inactivated SARS-CoV-2 vaccine by single-cell RNA sequencing | |
Phan et al. | Cytotoxic T cells targeting spike glycoprotein are associated with hybrid immunity to SARS-CoV-2 | |
Arunachalam et al. | Systems biological assessment of human immunity to BNT162b2 mRNA vaccination | |
Clarke et al. | Predicting lyme disease from patients' peripheral blood mononuclear cells profiled with RNA-sequencing | |
Vianello et al. | Transcriptomic signatures induced by the Ebola virus vaccine rVSVΔG-ZEBOV-GP in adult cohorts in Europe, Africa, and North America: a molecular biomarker study | |
Vallania et al. | Multicohort analysis identifies monocyte gene signatures to accurately monitor subset-specific changes in human diseases | |
Aoki et al. | CD8+ T cell memory induced by successive SARS-CoV-2 mRNA vaccinations is characterized by shifts in clonal dominance |