Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Rules of Immunity Program: Systems Biology to Identify Biomarkers of Vaccine Immunogenicity Across the Human Lifespan

ABSTRACT: Rules of Immunity Program: Systems Biology to Identify Biomarkers of Vaccine Immunogenicity Across the Human Lifespan

PROVIDER: PRJNA749819 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Rules of Immunity Program: Systems Biology to Identify Biomarkers of Vaccine Immunogenicity Across the Human Lifespan

Project description:Rules of Immunity Program: Systems Biology to Identify Biomarkers of Vaccine Immunogenicity Across the Human Lifespan

| PRJNA749820 | ENA

Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity [methylation]

Project description:Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity [methylation]

| PRJNA1139074 | ENA

Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity [methylation]

Project description:Infection is the most common cause of death in early life, especially for newborns and can be reduced by immunization but insufficient knowledge of how vaccines protect the very young limits their optimal use. To gain insight into how vaccines induce protection of the most vulnerable, our project employs two novel approaches studying newborn responses to hepatitis B vaccine (HBV): (a) systems biology that uses technologies which comprehensively measure global changes in molecules such as transcriptomics (RNA) and proteomics (proteins), as well as cell composition of the blood and (b) use of human newborn blood components, collected prior to immunization, to model vaccine responses in vitro (outside the body). Characterizing vaccine-induced molecular patterns (signatures) that correspond to vaccine-mediated protection will accelerate development and optimization of vaccines against early life infections of major global health importance.

2024-08-05 | GSE272800 | GEO

Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity - Papua New Guinea (PNG) Validation cohort [methylation]

Project description:Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity - Papua New Guinea (PNG) Validation cohort [methylation]

| PRJNA1129141 | ENA

Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity - Papua New Guinea (PNG) Validation cohort [methylation]

2024-08-05 | GSE270978 | GEO

Systems Biology of Influenza A (H5N1) Virus Monovalent Vaccine with and without AS03 adjuvant

Project description:H5N1 influenza vaccine is known to induce diminished antibody responses in vaccine recipients without the use of adjuvant. We hypothesize that this is due to intrinsic defects in innate responses that could explain the poor immunogenicity of the vaccine. These innate responses may be improved with use of an adjuvant, e.g., AS03.

2021-06-29 | GSE102012 | GEO

Systems biology of prostate cancer

Project description:Systems biology of prostate cancer

| PRJEB34826 | ENA

Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans.

Project description:A major challenge in vaccinology is to prospectively determine vaccine efficacy. Here we have used a systems biology approach to identify early gene 'signatures' that predicted immune responses in humans vaccinated with yellow fever vaccine YF-17D. Vaccination induced genes that regulate virus innate sensing and type I interferon production. Computational analyses identified a gene signature, including complement protein C1qB and eukaryotic translation initiation factor 2 alpha kinase 4-an orchestrator of the integrated stress response-that correlated with and predicted YF-17D CD8(+) T cell responses with up to 90% accuracy in an independent, blinded trial. A distinct signature, including B cell growth factor TNFRS17, predicted the neutralizing antibody response with up to 100% accuracy. These data highlight the utility of systems biology approaches in predicting vaccine efficacy.

| S-EPMC4049462 | biostudies-literature

Systems biology analysis reveals distinct molecular signatures promoting immune responsiveness to the BNT162b COVID-19 vaccine [scRNA-seq]

Project description:Human immune responses to COVID-19 vaccines display a large heterogeneity of induced immunity and the underlying immune mechanisms for this remain largely unknown. Using a systems biology approach, we longitudinally profiled a unique cohort of female high and low responders to the BNT162b vaccine, who were known from previous COVID-19 vaccinations to develop maximum and minimum immune responses to the vaccine. We utilized high dimensional flow cytometry, bulk and single cell mRNA sequencing and 48-plex serum cytokine analyses. We revealed early, transient immunological and molecular signatures that distinguished high from low responders and correlated with B and T cell responses measured 14 days later. High responders featured a distinct transcriptional activity of interferon-driven genes and genes connected to enhanced antigen presentation. This was accompanied by a robust cytokine response related to Th1 differentiation. Both transcriptome and serum cytokine signatures were confirmed in two independent confirmatory cohorts. Collectively, our data contribute to a better understanding of the immunogenicity of mRNA-based COVID-19 vaccines, which might lead to the optimization of vaccine designs for individuals with poor vaccine responses.

2024-01-29 | GSE246937 | GEO

Systems biology analysis reveals distinct molecular signatures promoting immune responsiveness to the BNT162b COVID-19 vaccine [bulk RNA-seq]

2024-01-29 | GSE246525 | GEO