Revista: | Annals of hepatology |
Base de datos: | PERIÓDICA |
Número de sistema: | 000407481 |
ISSN: | 1665-2681 |
Autors: | Qu, Zhaowei1 Li, Di2 Xu, Haitao1 Zhang, Rujia2 Li, Bing1 Sun, Chengming1 Dong, Wei1 Zhang, Yubao1 |
Institucions: | 1Harbin Medical University, The Affiliated Tumor Hospital, Harbin, Heilongjiang. China 2Harbin Medical University, The Second Affiliated Hospital, Harbin, Heilongjiang. China |
Any: | 2016 |
Període: | Jul-Ago |
Volum: | 15 |
Número: | 4 |
Paginació: | 568-576 |
País: | México |
Idioma: | Inglés |
Tipo de documento: | Artículo |
Enfoque: | Analítico, descriptivo |
Resumen en inglés | TGF β signalling is involved in pathogenesis and progress of hepatocellular carcinoma (HCC). This bioinformatics study consequently aims to determine the underlying molecular mechanism of TGF-β activation in HCC cells. Dataset GSE10393 was downloaded from Gene Expression Omnibus, including 2 Huh-7 (HCC cell line) samples treated by TGF-β (100 pmol/L, 48 h) and 2 untreated samples. Differentially expressed genes (DEGs) were screened using Limma package (false discovery rate < 0.05 and |log2 fold change| > 1.5), and then enrichment analyses of function, pathway, and disease were performed. In addition, protein-protein interaction (PPI) network was constructed based on the PPI data from multiple databases including INACT, MINT, BioGRID, UniProt, BIND, BindingDB, and SPIKE databases. Transcription factor (TF)-DEG pairs (Bonferroni adjusted p-value < 0.01) from ChEA database and DEG-DEG pairs were used to construct TF-DEG regulatory network. Furthermore, TF-pathway-DEG complex network was constructed by integrating DEG-DEG pairs, TF-DEG pairs, and DEG-pathway pairs. Results. Results. Results. Totally, 209 DEGs and 30 TFs were identified. The DEGs were significantly enriched in adhesion-related functions. PPI network indicted hub genes such as CUL4B and NEDD4. According to the TF-DEG regulatory network, the two hub genes were targeted by SMAD2, SMAD3, and HNF4A. Besides, the 11 pathways in TF-pathway-DEG network were mainly enriched by UGT1A family and CYP3A7, which were predicted to be regulated by SMAD2, SMAD3, SOX2, TP63, and HNF4A. Conclusions. TGF-β might influence biological processes of HCC cells via SMAD2/SMAD3-NEDD4, HNF4A-CUL4B/NEDD4, SOX2/TP63/HNF4A-CYP3A7, and SMAD2/SMAD3/SOX2/TP63/HNF4A-UGT1As regulatory pathways |
Disciplines | Medicina |
Paraules clau: | Gastroenterología, Oncología, Genética, Carcinoma hepatocelular, Factores de transcripción, Genes, Expresión diferencial |
Keyword: | Medicine, Gastroenterology, Oncology, Genetics, Hepatocellular carcinoma, Transcription factors, Genes, Differential expression |
Text complet: | Texto completo (Ver PDF) |