Transcriptomic meta-analysis identifies gene expression characteristics in various samples of HIV-infected patients with nonprogressive disease

Transcriptomic meta-analysis identifies gene expression characteristics in various samples of HIV-infected patients with nonprogressive disease

Abstract Background A small proportion of HIV-infected patients remain clinically and/or immunologically stable for years, including elite controllers (ECs) who have undetectable viremia (<50 copies/ml) and long-term nonprogressors (LTNPs) who maintain normal CD4+ T cell counts for prolonged peri...

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Bibliographic Details
Main Authors: Le-Le Zhang, Zi-Ning Zhang, Xian Wu, Yong-Jun Jiang, Ya-Jing Fu, Hong Shang
Format: Article
Language:English
Published: BMC 2017-09-01
Series:Journal of Translational Medicine
Subjects:
HIV-1
LTNP
EC
Integrative transcriptome analyses
Microarray
Meta-analysis
Online Access:http://link.springer.com/article/10.1186/s12967-017-1294-5

Internet

http://link.springer.com/article/10.1186/s12967-017-1294-5

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