Transcriptional analysis of HIV-specific CD4+ T cells
收藏NIAID Data Ecosystem2026-03-11 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE128297
下载链接
链接失效反馈官方服务:
资源简介:
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
应用场景:
创建时间:
2019-10-16
相关数据集
Transcriptional analysis of HIV-specific CD4+ T cells. Transcriptional analysis of HIV-specific CD4+ T cells
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem20
Transcriptional analysis of HIV-specific CD4+ T cells in progressive disease and in spontaneously controlled infection.. Transcriptional analysis of HIV-specific CD4+ T cells in progressive disease and in spontaneously controlled infection.
The virus-specific CD4+ T cell dysfunction associated with failure to control chronic infections is poorly understood in humans. In this study we sought to determine transcriptional signatures that li
NIAID Data Ecosystem10
Transcriptional analysis of HIV-specific CD4+ T cells in progressive disease and in spontaneously controlled infection.
The virus-specific CD4+ T cell dysfunction associated with failure to control chronic infections is poorly understood in humans. In this study we sought to determine transcriptional signatures that li
NIAID Data Ecosystem20
Transcriptional analysis of HIV-specific CD4+ T cells after suppression of viremia by ART.. Transcriptional analysis of HIV-specific CD4+ T cells after suppression of viremia by ART.
The virus-specific CD4+ T cell dysfunction associated with failure to control chronic infections is poorly understood in humans. An issue of critical clinical relevance is the lack of restoration of e
NIAID Data Ecosystem50
Transcriptional analysis of HIV-specific CD4+ T cells after suppression of viremia by ART.
The virus-specific CD4+ T cell dysfunction associated with failure to control chronic infections is poorly understood in humans. An issue of critical clinical relevance is the lack of restoration of
NIAID Data Ecosystem30



