KIR gene content and HIV progression

2005 ◽  
Vol 66 (8) ◽  
pp. 23
Author(s):  
M.R. Uribe ◽  
S. Adams ◽  
L. Shupert ◽  
D. Stroncek ◽  
M. Connors ◽  
...  
HLA ◽  
2018 ◽  
Vol 92 (6) ◽  
pp. 384-391
Author(s):  
Leonardo M. Amorim ◽  
Tiago H. S. Santos ◽  
Jill A. Hollenbach ◽  
Paul J. Norman ◽  
Wesley M. Marin ◽  
...  

2018 ◽  
Vol 201 (5) ◽  
pp. 1460-1467 ◽  
Author(s):  
Maria Bono ◽  
Daniela Pende ◽  
Alice Bertaina ◽  
Alessandro Moretta ◽  
Mariella Della Chiesa ◽  
...  

2009 ◽  
Vol 70 ◽  
pp. S85
Author(s):  
Arlene Locke ◽  
Marie Lau ◽  
John Muramoto ◽  
Elaine F. Reed ◽  
Raja Rajalingam
Keyword(s):  

PeerJ ◽  
2022 ◽  
Vol 10 ◽  
pp. e12692
Author(s):  
Jarmo Ritari ◽  
Kati Hyvärinen ◽  
Jukka Partanen ◽  
Satu Koskela

The killer cell immunoglobulin-like receptor (KIR) gene cluster on chromosome 19 encodes cell surface glycoproteins that bind class I human leukocyte antigen (HLA) molecules as well as some other ligands. Through regulation of natural killer (NK) cell activity KIRs participate in tumour surveillance and clearing viral infections. KIR gene gene copy number variation associates with the outcome of transplantations and susceptibility to immune-mediated diseases. Inferring KIR gene content from genetic variant data is therefore desirable for immunogenetic analysis, particularly in the context of growing biobank genome data collections that rely on genotyping by microarray. Here we describe a stand-alone and freely available gene content imputation for 12 KIR genes. The models were trained using 807 Finnish biobank samples genotyped for 5900 KIR-region SNPs and analysed for KIR gene content with targeted sequencing. Cross-validation results demonstrate a high mean overall accuracy of 98.5% (95% CI [97.0–99.2]%) which compares favourably with previous methods including short-read sequencing based approaches.


2020 ◽  
Vol 4 (s1) ◽  
pp. 20-21
Author(s):  
Katherine Gisella Michel ◽  
Bing Ma ◽  
Kathleen Weber ◽  
Leah McClellan ◽  
Anandi Sheth ◽  
...  

OBJECTIVES/GOALS: The role of the vaginal microbiome (VM) in HIV disease progression is poorly understood. We examined VMs of HIV+ Elite Controllers (ECs) and HIV+ Long-Term Non-Progressors (LTNPs) compared to controls: HIV-positive antiretroviral (ARV) treated (HIV+ATs) and HIV-negative women in the Women’s Interagency HIV Study (DC/Chicago/Atlanta sites). METHODS/STUDY POPULATION: VMs were surveyed via both V3/V4 region of 16S rRNA gene amplicon sequencing and metagenomics sequencing in 67 women across 4 study groups: 1) LTNPs (CD4 >500 cells/mL for 5+ years without ARVs) (n = 7) and 2) ECs (HIV RNA <80 copies/mL for 2+ years without ARVs) (n = 8), matched with 3) HIV+ ATs (on ARVs for ≥1 year with CD4 increase ≥100 cells/mm3) (n = 34), and 4) HIV- women (n = 18). Metagenomes were characterized from specimens collected at two time points: 1) vaginal swabs collected 2016-2017 (n = 62) and 2) cervicovaginal lavage collected 2002-2016 (n = 35; DC/Chicago only). We used VIRGO (human vaginal non-redundant gene catalog), a newly developed referencing framework to comprehensively catalog VM gene content, taxonomy and functions. RESULTS/ANTICIPATED RESULTS: Women were 89% African American with a mean age of 46 years (SD 8.8). The most prevalent species were Gardnerella vaginalis (predominant in 34%), Lactobacillus iners (predominant in 21%), and L. crispatus (predominant in 14%). 90% of LTNP and 45% of EC samples were Lactobacillus-dominant vs. 28% of HIV- and 30% of HIV+ATs. L. crispatus and L. iners in ECs/LTNPs had significantly different gene content and greater gene richness vs. controls. G. vaginalis-predominant communities were found in 66% of HIV- and 68% of HIV+ATs, compared to 46% of EC and 0% of LTNP. The G. vaginalis strains present in EC/LTNP also showed significantly lower gene richness and different gene content vs. controls. DISCUSSION/SIGNIFICANCE OF IMPACT: These results suggest unique VM communities among EC/LTNP, and led us to hypothesize that differential regulation of vaginal immunity drives the observed differences. The similarity between VMs of HIV- and HIV+ATs warrants further study. Larger longitudinal VM studies are needed to assess associated functional pathways and understand the etiology of VM association with HIV progression. CONFLICT OF INTEREST DESCRIPTION: The authors have no conflicts of interest to disclose.


2012 ◽  
Vol 64 (10) ◽  
pp. 719-737 ◽  
Author(s):  
Jill A. Hollenbach ◽  
Isobel Nocedal ◽  
Martha B. Ladner ◽  
Richard M. Single ◽  
Elizabeth A. Trachtenberg

PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0191733 ◽  
Author(s):  
Yusuf O. Omosun ◽  
Anna J. Blackstock ◽  
John Williamson ◽  
Anne Maria van Eijk ◽  
John Ayisi ◽  
...  

2009 ◽  
Vol 70 ◽  
pp. S78
Author(s):  
Bruno Z. Piovezan ◽  
Danillo G. Augusto ◽  
Maria Luiza Petzl-Erler

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