Characterization of the epitranscriptomic landscape of HIV-infected cells
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE157193
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This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
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创建时间：
2021-07-02
相关数据集
Characterization of the epitranscriptomic landscape of HIV-infected cells. Characterization of the epitranscriptomic landscape of HIV-infected cells
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem30
Characterization of the epitranscriptomic landscape of HIV-infected cells IV. Characterization of the epitranscriptomic landscape of HIV-infected cells IV
In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epit
NIAID Data Ecosystem20
Characterization of the epitranscriptomic landscape of HIV-infected cells II. Characterization of the epitranscriptomic landscape of HIV-infected cells II
In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epit
NIAID Data Ecosystem20
Characterization of the epitranscriptomic landscape of HIV-infected cells I. Characterization of the epitranscriptomic landscape of HIV-infected cells I
In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epit
NIAID Data Ecosystem20
Characterization of the epitranscriptomic landscape of HIV-infected cells III. Characterization of the epitranscriptomic landscape of HIV-infected cells III
In this study, we used a productive HIV infection model, consisting of the CD4+ SupT1 T cell line infected with a VSV-G pseudotyped HIVeGFP-based vector, to explore the transcriptomic and m6A/m5C epit
NIAID Data Ecosystem20
