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

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

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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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Bibliographic Details
Main Authors: Hans Christian Stubbe, Christine Dahlke, Katharina Rotheneder, Renate Stirner, Julia Roider, Raffaele Conca, Ulrich Seybold, Johannes Bogner, Marylyn Martina Addo, Rika Draenert, Cristian Apetrei
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500694/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500694/?tool=EBI

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