Integration of microarray data and literature mining identifies a sex bias in DPP4+CD4+ T cells in HIV-1 infection-Reference-Cited by-同舟云学术

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

Published:2020-09-18 Issue:9 Volume:15 Page:e0239399
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Stubbe Hans Christian^ORCID,Dahlke Christine,Rotheneder Katharina,Stirner Renate,Roider Julia,Conca Raffaele,Seybold Ulrich,Bogner Johannes,Addo Marylyn Martina,Draenert Rika

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference38 articles.

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3. Sex differences in the TLR-mediated response of pDCs to HIV-1 are associated with higher immune activation in infected women;A Meier;Nat Med,2009

4. Higher Expression of Several Interferon-Stimulated Genes in HIV-1-Infected Females After Adjusting for the Level of Viral Replication;JJ Chang;J Infect Dis,2013

5. HIV infection.;SG Deeks;Nat Rev Dis Primer,2015

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