RT Journal Article
SR Electronic
T1 A curated collection of human vaccination response signatures
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.04.15.439017
DO 10.1101/2021.04.15.439017
A1 Kenneth C. Smith
A1 Daniel G. Chawla
A1 Bhavjinder K. Dhillon
A1 Zhou Ji
A1 Randi Vita
A1 Eva C. van der Leest
A1 Jing Yi (Jessica) Weng
A1 Ernest Tang
A1 Amani Abid
A1 The Human Immunology Project Consortium (HIPC)
A1 Bjoern Peters
A1 Robert E.W. Hancock
A1 Aris Floratos
A1 Steven H. Kleinstein
YR 2021
UL http://biorxiv.org/content/early/2021/10/22/2021.04.15.439017.abstract
AB Recent advances in high-throughput experiments and systems biology approaches have resulted in hundreds of publications identifying “immune signatures”. Unfortunately, these are often described within text, figures, or tables in a format not amenable to computational processing, thus severely hampering our ability to fully exploit this information. Here we present a data model to represent immune signatures, along with the Human Immunology Project Consortium (HIPC) Dashboard (www.hipc-dashboard.org), a web-enabled application to facilitate signature access and querying. The data model captures the biological response components (e.g., genes, proteins, cell types or metabolites) and metadata describing the context under which the signature was identified using standardized terms from established resources (e.g., HGNC, Protein Ontology, Cell Ontology). We have manually curated a collection of >600 immune signatures from >60 published studies profiling human vaccination responses for the current release. The system will aid in building a broader understanding of the human immune response to stimuli by enabling researchers to easily access and interrogate published immune signatures.Competing Interest StatementS.H.K. receives consulting fees from Northrop Grumman and Peraton