TY - JOUR
T1 - The Immune Signatures data resource, a compendium of systems vaccinology datasets
AU - The Human Immunology Project Consortium (HIPC)
AU - Diray-Arce, Joann
AU - Miller, Helen E.R.
AU - Henrich, Evan
AU - Gerritsen, Bram
AU - Mulè, Matthew P.
AU - Fourati, Slim
AU - Gygi, Jeremy
AU - Hagan, Thomas
AU - Tomalin, Lewis
AU - Rychkov, Dmitry
AU - Kazmin, Dmitri
AU - Chawla, Daniel G.
AU - Meng, Hailong
AU - Dunn, Patrick
AU - Campbell, John
AU - Deckhut-Augustine, Alison
AU - Gottardo, Raphael
AU - Haddad, Elias K.
AU - Hafler, David A.
AU - Harris, Eva
AU - Farber, Donna
AU - Levy, Ofer
AU - McElrath, Julie
AU - Montgomery, Ruth R.
AU - Peters, Bjoern
AU - Rahman, Adeeb
AU - Reed, Elaine F.
AU - Rouphael, Nadine
AU - Fernandez-Sesma, Ana
AU - Sette, Alessandro
AU - Stuart, Ken
AU - Togias, Alkis
AU - Tsang, John S.
AU - Sarwal, Minnie
AU - Tsang, John S.
AU - Levy, Ofer
AU - Pulendran, Bali
AU - Sekaly, Rafick
AU - Floratos, Aris
AU - Gottardo, Raphael
AU - Kleinstein, Steven H.
AU - Suárez-Fariñas, Mayte
N1 - Funding Information:
This research was conducted within the Human Immunology Project Consortium (HIPC) and supported by the National Institute of Allergy and Infectious Diseases. This work was supported in part by NIH grants U19AI128949, U19AI118608, U19AI118626, and U19AI089992, U19AI090023, U19AI089992, U19AI128914, U19AI118610, U19AI128913. The HIPC projects are listed at https://www.immuneprofiling.org/hipc/page/showPage?pg=projects . This work was supported in part by the Canadian Institutes of Health Research [funding reference number FDN-154287]
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
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U2 - 10.1038/s41597-022-01714-7
DO - 10.1038/s41597-022-01714-7
M3 - Article
C2 - 36266291
AN - SCOPUS:85140214296
SN - 2052-4463
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 635
ER -