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Tytuł pozycji:

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

Tytuł :
Integration of microarray data and literature mining identifies a sex bias in DPP4+CD4+ T cells in HIV-1 infection.
Autorzy :
Hans Christian Stubbe
Christine Dahlke
Katharina Rotheneder
Renate Stirner
Julia Roider
Raffaele Conca
Ulrich Seybold
Johannes Bogner
Marylyn Martina Addo
Rika Draenert
Pokaż więcej
Temat :
Medicine
Science
Źródło :
PLoS ONE, Vol 15, Iss 9, p e0239399 (2020)
Wydawca :
Public Library of Science (PLoS), 2020.
Rok publikacji :
2020
Kolekcja :
LCC:Medicine
LCC:Science
Typ dokumentu :
article
Opis pliku :
electronic resource
Język :
English
ISSN :
1932-6203
41459881
Relacje :
https://doaj.org/toc/1932-6203
DOI :
10.1371/journal.pone.0239399
Dostęp URL :
https://doaj.org/article/5cc21e4f3a41459881887492df88cf24
Numer akcesji :
edsdoj.5cc21e4f3a41459881887492df88cf24
Czasopismo naukowe
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 mining were integrated. Data from three large-scale microarray experiments were obtained from NCBI/GEO and screened for sex differences in gene expression. Literature mining was employed to identify sex biased genes in the microarray data, which were relevant to HIV-1 pathogenesis and lymphocyte biology. Sex differences in gene expression of selected genes were investigated by RT-qPCR and flowcytometry in healthy individuals and persons living with HIV-1. A significant and consistent sex bias was identified in 31 genes, the majority of which were related to immunity and expressed at higher levels in women. Using literature mining, three genes (DPP4, FCGR1A and SOCS3) were selected for analysis by qPCR because of their relevance to HIV, as well as, B and T cell biology. DPP4 exhibited the most significant sex bias in mRNA expression (p = 0.00029). Therefore, its expression was further analyzed on B and T cells using flowcytometry. In HIV-1 infected controllers and healthy individuals, frequencies of CD4+DPP4+ T cells were higher in women compared to men (p = 0.037 and p = 0.027). In women, CD4 T cell counts correlated with a predominant decreased in DPP4+CD4+ T cells (p = 0.0032). Sex differences in DPP4 expression abrogated in progressive HIV-1 infection. In conclusion, we found sex differences in the pathobiology of T cells in HIV-1 infection using a data-driven approach. Our results indicate that DPP4 expression on CD4+ T cells might contribute to the immunological sex differences observed in chronic HIV‑1 infection.
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