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A curated collection of human vaccination response signatures.
Smith, Kenneth C; Chawla, Daniel G; Dhillon, Bhavjinder K; Ji, Zhou; Vita, Randi; van der Leest, Eva C; Weng, Jing Yi Jessica; Tang, Ernest; Abid, Amani; Peters, Bjoern; Hancock, Robert E W; Floratos, Aris; Kleinstein, Steven H.
Affiliation
  • Smith KC; Department of Systems Biology, Columbia University, New York, New York, USA.
  • Chawla DG; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.
  • Dhillon BK; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Ji Z; Department of Systems Biology, Columbia University, New York, New York, USA.
  • Vita R; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • van der Leest EC; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Weng JYJ; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Tang E; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Abid A; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Peters B; Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA.
  • Hancock REW; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA, USA.
  • Floratos A; Department of Microbiology & Immunology, University of British Columbia, Vancouver, Canada.
  • Kleinstein SH; Department of Systems Biology, Columbia University, New York, New York, USA. af2202@cumc.columbia.edu.
Sci Data ; 9(1): 678, 2022 11 08.
Article de En | MEDLINE | ID: mdl-36347894
ABSTRACT
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.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel / Vaccination / Biologie des systèmes Limites: Humans Langue: En Journal: Sci Data Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Logiciel / Vaccination / Biologie des systèmes Limites: Humans Langue: En Journal: Sci Data Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique
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