Transcriptomics

Dataset Information

0

Sema3d restrained Hepatocellular carcinoma progression through inactivating Pi3k/Akt signaling via interact with FLNA


ABSTRACT: Purpose: High throughput RNA-seq has provided an efficient and convenient access to screening substantial differentially expressed genes (DEGs). The goals of this study are to screen out Sema3d-regulated DEGs of HCC cells by utilizing RNA-sequencing and to furtherly identify specific biological function-related gene subset from Sema3d-regulated DEGs. Method: Firstly, HCCLM3 cells were seperated into two groups and respectively transfected with lentivirus-delivered Sema3d and control. We cultured these cells with DMEM containing 10% FBS serum. 48 hours later, cells of two groups were harvested by Trizol RNA isolater and examined expression difference of Sema3d, and then analyzed by High througput RNA-sequencing. Conclusion: Using next generation high throughput RNA-sequencing technology and using |log2(FoldChange)|>1 and Qvalue<0.05 as a cutoff for statistic analysis, we identified 75 positive-regulated DEGs and 282 negative-regulated DEGs were identified. Finally, pathway and process enrichment analysis identified a series of Sema3d regulated DEGs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE200430 | GEO | 2022/05/25

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2020-08-30 | GSE157110 | GEO
2012-04-22 | E-GEOD-37208 | biostudies-arrayexpress
2021-04-08 | GSE171619 | GEO
2019-01-01 | GSE124516 | GEO
2023-07-01 | GSE217914 | GEO
2021-09-09 | PXD020642 | Pride
2014-12-31 | GSE53092 | GEO
2023-07-31 | GSE208007 | GEO
2022-11-22 | GSE193778 | GEO
2021-11-03 | GSE185783 | GEO