GSE152377: CaptureSeq to study HIV-1 transcription after reversal of latency

Gene Expression Data Explorer
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Description

Submission Date: Jun 12, 2020

Summary: The goal of this study was to utilize CaptureSeq to be able to measure HIV-1 transcription after reversal of latency in primary cells from antiretroviral-treated HIV-1 infected individuals.

GEO Accession ID: GSE152377

PMID: No Pubmed ID

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GROUP CONDITION SAMPLES
Non-naïve, resting CD4+ T cells
GSM4613722 GSM4613728 GSM4613734 GSM4613740 GSM4613746 GSM4613752 GSM4613758
GSM4613725 GSM4613731 GSM4613737 GSM4613743 GSM4613749 GSM4613755 GSM4613761
GSM4613721 GSM4613727 GSM4613733 GSM4613739 GSM4613745 GSM4613751 GSM4613757
GSM4613723 GSM4613729 GSM4613735 GSM4613741 GSM4613747 GSM4613753 GSM4613759
GSM4613724 GSM4613730 GSM4613736 GSM4613742 GSM4613748 GSM4613754 GSM4613760
GSM4613726 GSM4613732 GSM4613738 GSM4613744 GSM4613750 GSM4613756 GSM4613762
Description

Submission Date: Jun 12, 2020

Summary: The goal of this study was to utilize CaptureSeq to be able to measure HIV-1 transcription after reversal of latency in primary cells from antiretroviral-treated HIV-1 infected individuals.

GEO Accession ID: GSE152377

PMID: No Pubmed ID

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Perturbation Condition

Differential Gene Expression Analysis
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Bulk RNA-seq Appyter

This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.