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Characterisation of Two New Th17-Subsets with Distinct Contribution to HIV-1 Persistence under Antiretroviral Therapy

ChEBI2015-08-31 更新2026-07-12 收录

HIV免疫学

免疫细胞亚群功能分析

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-66972 数据链接链接失效反馈

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Characterisation of Two New Th17-Subsets with Distinct Contribution to HIV-1 Persistence under Antiretroviral Therapy

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创建时间：

2015-08-31

HIV免疫学

决策树模型

Figure S1 and Table S1. Figure S1, “plotcp” function allows to plot mean and standard deviation of the errors in the cross-validated prediction of the “rpart” object shown in Figure 5 of the main docu

Figshare2015-12-02 更新110

LDGs and NDGs in HIV+ patients in CD4high HIV+ patients.

HIV免疫学

流式细胞表型分析

Ldgs And Ndgs Were Isolated From The Blood Of Hiv+ Patients With Cd4+ T Cell Counts >350 Cells/µL (N = 11) As Described In Materials And Methods. Expression Levels Of Phenotypic Markers Were Determine

NIAID Data Ecosystem60

DataSheet_2_Immune activation and exhaustion marker expression on T-cell subsets in ART-treated adolescents and young adults with perinatal HIV-1 infection as correlates of viral persistence.xlsx

HIV免疫学

病毒库测量

HIV-1 infection in memory CD4+ T cells forms a latent reservoir that is a barrier to cure. Identification of immune biomarkers that correlate with HIV-1 reservoir size may aid with evaluating efficacy

NIAID Data Ecosystem40

Transcriptional profile of TREG cells infected with HIV

HIV免疫学

Treg细胞转录组学

The transcriptional profile of TREG cells from patients carrying HIV either with an ART or LTNP phenotype was compared to TREG from individuals not infected with HIV

NIAID Data Ecosystem60

ATN 026 Death Report - Primary Cause of Death Dataset in Evaluation of HIV-Specific CD8+ T-Cell Responses and Escape Mutations as Explanations for the Observed Differences in Disease Progression Conferred by HLA Class I Alleles

HIV免疫学

HLA等位基因疾病关联

Dataset with no observations Study Description ATN 026 investigated the association between HLA class I genotypes and differing HIV-1 disease progression. The study assessed HIV-1 specific CD8+ T-cell

NIAID Data Ecosystem50

Characterisation of Two New Th17-Subsets with Distinct Contribution to HIV-1 Persistence under Antiretroviral Therapy

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