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Status |
Public on Sep 02, 2021 |
Title |
Next Generation Sequencing Facilitates Quantitative Analysis of metformin on adipogenesis Transcriptomes |
Organism |
Mus musculus |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
We reported the application of transcriptome sequencing in high-throughput analysis of metformin intervention in adipogenesis. By obtaining differentially expressed genes from transcriptome, we constructed the mRNA expression profile in mouse embryonic fibroblast adipose differentiation model. We found that metformin can effectively distinguish expressed, ready to express or stably inhibited genes in the process of adipose differentiation, which reflects the cell state and lineage potential. Using an optimized data analysis workflow, we identified 5362 different expression adipogenesis responsive genes and 2539 metformin responsive genes. This study provided a framework for the application of comprehensive transcriptome analysis to the network regulation mechanism of metformin inhibiting preadipocyte differentiation
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Overall design |
Examination of metformin on adipose differentiation of 3T3-L1 preadipocytes
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Contributor(s) |
Zhao Z, Yuan G |
Citation(s) |
34974794 |
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Submission date |
Jul 06, 2021 |
Last update date |
Jan 11, 2022 |
Contact name |
Zhicong Zhao |
E-mail(s) |
602023300065@smail.nju.edu.cn
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Phone |
18752965615
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Organization name |
School of life sciences, Nanjing university, Affiliated Hospital of Jiangsu University
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Street address |
163 Xianlin Avenue,438 Jiefang Road
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City |
Nanjing,Zhenjiang |
State/province |
Jiangsu province |
ZIP/Postal code |
210023, 212001 |
Country |
China |
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Platforms (1) |
GPL13112 |
Illumina HiSeq 2000 (Mus musculus) |
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Samples (9)
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Relations |
BioProject |
PRJNA744158 |
SRA |
SRP327148 |