Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.

To identify novel biomarkers for HIV-1 resistance, including pathways that may be critical in anti-HIV-1 vaccine design, we carried out a gene expression analysis on blood samples obtained from HIV-1 highly exposed seronegatives (HESN) from a commercial sex worker cohort in Nairobi and compared thei...

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Autores principales: Elijah M Songok, Ma Luo, Ben Liang, Paul Mclaren, Nadine Kaefer, Winnie Apidi, Genevieve Boucher, Joshua Kimani, Charles Wachihi, Rafick Sekaly, Keith Fowke, Blake T Ball, Francis A Plummer
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Publicado: Public Library of Science (PLoS) 2012
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spelling oai:doaj.org-article:1db27445a7544e8bb16a00278cda8b8e2021-11-18T07:29:17ZMicroarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.1932-620310.1371/journal.pone.0030048https://doaj.org/article/1db27445a7544e8bb16a00278cda8b8e2012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22291902/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203To identify novel biomarkers for HIV-1 resistance, including pathways that may be critical in anti-HIV-1 vaccine design, we carried out a gene expression analysis on blood samples obtained from HIV-1 highly exposed seronegatives (HESN) from a commercial sex worker cohort in Nairobi and compared their profiles to HIV-1 negative controls. Whole blood samples were collected from 43 HIV-1 resistant sex workers and a similar number of controls. Total RNA was extracted and hybridized to the Affymetrix HUG 133 Plus 2.0 micro arrays (Affymetrix, Santa Clara CA). Output data was analysed through ArrayAssist software (Agilent, San Jose CA). More than 2,274 probe sets were differentially expressed in the HESN as compared to the control group (fold change ≥1.3; p value ≤0.0001, FDR <0.05). Unsupervised hierarchical clustering of the differentially expressed genes readily distinguished HESNs from controls. Pathway analysis through the KEGG signaling database revealed a majority of the impacted pathways (13 of 15, 87%) had genes that were significantly down regulated. The most down expressed pathways were glycolysis/gluconeogenesis, pentose phosphate, phosphatidyl inositol, natural killer cell cytotoxicity and T-cell receptor signaling. Ribosomal protein synthesis and tight junction genes were up regulated. We infer that the hallmark of HIV-1 resistance is down regulation of genes in key signaling pathways that HIV-1 depends on for infection.Elijah M SongokMa LuoBen LiangPaul MclarenNadine KaeferWinnie ApidiGenevieve BoucherJoshua KimaniCharles WachihiRafick SekalyKeith FowkeBlake T BallFrancis A PlummerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 1, p e30048 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Elijah M Songok
Ma Luo
Ben Liang
Paul Mclaren
Nadine Kaefer
Winnie Apidi
Genevieve Boucher
Joshua Kimani
Charles Wachihi
Rafick Sekaly
Keith Fowke
Blake T Ball
Francis A Plummer
Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
description To identify novel biomarkers for HIV-1 resistance, including pathways that may be critical in anti-HIV-1 vaccine design, we carried out a gene expression analysis on blood samples obtained from HIV-1 highly exposed seronegatives (HESN) from a commercial sex worker cohort in Nairobi and compared their profiles to HIV-1 negative controls. Whole blood samples were collected from 43 HIV-1 resistant sex workers and a similar number of controls. Total RNA was extracted and hybridized to the Affymetrix HUG 133 Plus 2.0 micro arrays (Affymetrix, Santa Clara CA). Output data was analysed through ArrayAssist software (Agilent, San Jose CA). More than 2,274 probe sets were differentially expressed in the HESN as compared to the control group (fold change ≥1.3; p value ≤0.0001, FDR <0.05). Unsupervised hierarchical clustering of the differentially expressed genes readily distinguished HESNs from controls. Pathway analysis through the KEGG signaling database revealed a majority of the impacted pathways (13 of 15, 87%) had genes that were significantly down regulated. The most down expressed pathways were glycolysis/gluconeogenesis, pentose phosphate, phosphatidyl inositol, natural killer cell cytotoxicity and T-cell receptor signaling. Ribosomal protein synthesis and tight junction genes were up regulated. We infer that the hallmark of HIV-1 resistance is down regulation of genes in key signaling pathways that HIV-1 depends on for infection.
format article
author Elijah M Songok
Ma Luo
Ben Liang
Paul Mclaren
Nadine Kaefer
Winnie Apidi
Genevieve Boucher
Joshua Kimani
Charles Wachihi
Rafick Sekaly
Keith Fowke
Blake T Ball
Francis A Plummer
author_facet Elijah M Songok
Ma Luo
Ben Liang
Paul Mclaren
Nadine Kaefer
Winnie Apidi
Genevieve Boucher
Joshua Kimani
Charles Wachihi
Rafick Sekaly
Keith Fowke
Blake T Ball
Francis A Plummer
author_sort Elijah M Songok
title Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
title_short Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
title_full Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
title_fullStr Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
title_full_unstemmed Microarray analysis of HIV resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
title_sort microarray analysis of hiv resistant female sex workers reveal a gene expression signature pattern reminiscent of a lowered immune activation state.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/1db27445a7544e8bb16a00278cda8b8e
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