Integration of microarray data and literature mining identifies a sex bias in DPP4+CD4+ T cells in HIV-1 infection

HIV-1 infection exhibits a significant sex bias. This study aimed at identifying and examining lymphocyte associated sex differences in HIV-1 pathogenesis using a data-driven approach. To select targets for investigating sex differences in lymphocytes, data of microarray experiments and literature m...

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Enregistré dans:
Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Stubbe, Hans Christian, Dahlke, Christine, Rotheneder, Katharina, Stirner, Renate, Roider, Julia, Conca, Raffaele, Seybold, Ulrich, Bogner, Johannes, Addo, Marylyn Martina, Draenert, Rika
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2020
Sujets:
Research Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7500694/
https://ncbi.nlm.nih.gov/pubmed/32946499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239399
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