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Next Generation Sequencing Facilitates Quantitative Analysis of metformin on adipogenesis Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of metformin on adipogenesis Transcriptomes

PROVIDER: PRJNA744158 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR15049582_1.fastq.gz	Fastqsanger.gz
	SRR15049582_2.fastq.gz	Fastqsanger.gz
	SRR15049583_1.fastq.gz	Fastqsanger.gz
	SRR15049583_2.fastq.gz	Fastqsanger.gz
	SRR15049584_1.fastq.gz	Fastqsanger.gz

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Next Generation Sequencing Facilitates Quantitative Analysis of metformin on adipogenesis Transcriptomes

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Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to determine the differentially expressed genes of osteogenic differentiation after treatment with metformin by using NGS-derived transcriptome profiling (RNA-seq) Methods: Osteogenic mRNA profiles of MC3T3-E1 cells treated in osteogenic medium and in osteogenic medium with metformin, in triplicate, using Illumina instrument. Results: Using an optimized data analysis workflow, the data reveals 1946 up-regulated and 1544 down-regulated genes after metformin treatment. Conclusions: Our study represents the first detailed analysis of osteogenic transcriptomes after metformin treatment, with biologic replicates, generated by RNA-seq technology. We conclude that RNA-seq based transcriptome characterization would contribute the target prediction and drug discovery.

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