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

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE200430
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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. 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(3 Samples of each group) were harvested by Trizol RNA isolater and examined expression difference of Sema3d, and then analyzed by High througput RNA-sequencing. Using next generation high throughput RNA-sequencing technology and using |log2(FoldChange)|>1 and Qvalue<0.05 as a cutoff for statistic analysis.
创建时间:
2022-08-24
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