Back to Search Start Over

The Immune Signatures data resource, a compendium of systems vaccinology datasets.

Authors :
Diray-Arce, Joann
Miller, Helen E. R.
Henrich, Evan
Gerritsen, Bram
Mulè, Matthew P.
Fourati, Slim
Gygi, Jeremy
Hagan, Thomas
Tomalin, Lewis
Rychkov, Dmitry
Kazmin, Dmitri
Chawla, Daniel G.
Meng, Hailong
Dunn, Patrick
Campbell, John
The Human Immunology Project Consortium (HIPC)
Deckhut-Augustine, Alison
Gottardo, Raphael
Haddad, Elias K.
Hafler, David A.
Source :
Scientific Data; 10/20/2022, Vol. 9 Issue 1, p1-16, 16p
Publication Year :
2022

Abstract

Vaccines are among the most cost-effective public health interventions for preventing infection-induced morbidity and mortality, yet much remains to be learned regarding the mechanisms by which vaccines protect. Systems immunology combines traditional immunology with modern 'omic profiling techniques and computational modeling to promote rapid and transformative advances in vaccinology and vaccine discovery. The NIH/NIAID Human Immunology Project Consortium (HIPC) has leveraged systems immunology approaches to identify molecular signatures associated with the immunogenicity of many vaccines. However, comparative analyses have been limited by the distributed nature of some data, potential batch effects across studies, and the absence of multiple relevant studies from non-HIPC groups in ImmPort. To support comparative analyses across different vaccines, we have created the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets. This data resource is available through ImmuneSpace, along with code to reproduce the processing and batch normalization starting from the underlying study data in ImmPort and the Gene Expression Omnibus (GEO). The current release comprises 1405 participants from 53 cohorts profiling the response to 24 different vaccines. This novel systems vaccinology data release represents a valuable resource for comparative and meta-analyses that will accelerate our understanding of mechanisms underlying vaccine responses. Measurement(s) Transcriptomics • Hemagglutination Inhibition Assay • IgG IgM IgA Total Measurement • Virus-neutralizing Antibody • ELISA Technology Type(s) Microarray • RNA sequencing • Hemagglutination Inhibition Assay • ELISA • Microneutralization Assay • serum neutralization of viral infectivity assay Sample Characteristic - Organism Homo sapiens [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20524463
Volume :
9
Issue :
1
Database :
Complementary Index
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
159793621
Full Text :
https://doi.org/10.1038/s41597-022-01714-7