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Untargeted transcriptomic profiling of activated primary human CD4+ T cells treated with metformin and 2-deoxyglucose

ABSTRACT: Untargeted transcriptomic profiling of activated primary human CD4+ T cells treated with metformin and 2-deoxyglucose

PROVIDER: PRJNA605014 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR11031254.fastq.gz	Fastqsanger.gz
	SRR11031255.fastq.gz	Fastqsanger.gz
	SRR11031256.fastq.gz	Fastqsanger.gz
	SRR11031257.fastq.gz	Fastqsanger.gz
	SRR11031258.fastq.gz	Fastqsanger.gz

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Untargeted transcriptomic profiling of activated primary human CD4+ T cells treated with metformin and 2-deoxyglucose

Project description:Purpose: To investigate the effects of metabolic inhibitors metformin and 2-deoxyglucose on the global transcriptome of primary human CD4+ T cells. Methods: mRNA profiles of primary human CD4+ T cells were generated by RNA-Seq for 3 donors in triplicate using Illumina TruSeq library prep. Data was processed using Elucidata's workflow as described below. Results: Our study presents the first transcriptomic analysis of how metformin + 2-deoxyglucose combination treatment affects activation-induced remodeling of metabolic gene expression in primary human CD4+ T cells.

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Project description:Purpose: The purpose of this experiment was to determine the time point following activation at which greatest transcriptional differences in metabolic genes were observed between primary human CD4+ T cells treated with metformin + 2-deoxyglucose combination regimen and cells treated with vehicle. Methods: Targeted RNA-Seq data was generated from primary human CD4+ T cell mRNA using a Qiagen custom designed panel of metabolic genes and the Illumina TruSeq stranded mRNA prep. Results: We obtained differential gene expression between metformin + 2-deoxyglucose and vehicle-treated cells using the DESeq2 app in Illumina Basespace for a set of metabolic genes during different time points following activation, and found the greatest changes at 24hr.

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