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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Hans Christian Stubbe, Christine Dahlke, Katharina Rotheneder, Renate Stirner, Julia Roider, Raffaele Conca, Ulrich Seybold, Johannes Bogner, Marylyn Martina Addo, Rika Draenert, Cristian Apetrei
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Public Library of Science (PLoS) 2020-01-01
Sarja:PLoS ONE
Linkit:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500694/?tool=EBI
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia