Overexpression of
| Autor: | Lianmei, Bai, Yu, Ren, Tianqing, Cui |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Carcinoma
Hepatocellular Gene Expression Profiling Forkhead Box Protein M1 Liver Neoplasms Computational Biology Kinesins Cell Cycle Proteins Gene Expression Regulation Neoplastic Cell Line Tumor Humans Gene Regulatory Networks Protein Interaction Maps Microtubule-Associated Proteins Algorithms Adaptor Proteins Signal Transducing Oligonucleotide Array Sequence Analysis |
| Zdroj: | Journal of computational biology : a journal of computational molecular cell biology. 27(6) |
| ISSN: | 1557-8666 |
| Popis: | This study aimed to identify key functional modules and genes in functional module involved in hepatocellular carcinoma (HCC) development. The microarray data set GSE54236 was obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between HCC, and normal samples were identified by Limma. DAVID was used to identify the gene ontology terms these genes enriched. The co-expression network was constructed based on Pearson correlation coefficient between gene expression values, and the functional modules these DEGs obviously enriched in were recognized through GraphWeb. Then, based on the genes related to the development of HCC, the DEGs interacting with HCC-associated genes were spotted. Finally, survival analysis and real-time quantitative polymerase chain reaction were performed. Totally, 427 upregulated (e.g., cell division cycle associated 5 [ |
| Databáze: | OpenAIRE |
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