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Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing
The present study aimed to explore the underlying molecular mechanisms of hepatocellular carcinoma (HCC). RNA-sequencing profiles GSM629264 and GSM629265, from the GSE25599 data set, were downloaded from the Gene Expression Omnibus database and processed by quality evaluation. GSM629264 and GSM62926...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865798/ https://www.ncbi.nlm.nih.gov/pubmed/28901494 http://dx.doi.org/10.3892/mmr.2017.7457 |
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author | Liu, Yao Yang, Zhe Du, Feng Yang, Qiao Hou, Jie Yan, Xiaohong Geng, Yi Zhao, Yaning Wang, Hua |
author_facet | Liu, Yao Yang, Zhe Du, Feng Yang, Qiao Hou, Jie Yan, Xiaohong Geng, Yi Zhao, Yaning Wang, Hua |
author_sort | Liu, Yao |
collection | PubMed |
description | The present study aimed to explore the underlying molecular mechanisms of hepatocellular carcinoma (HCC). RNA-sequencing profiles GSM629264 and GSM629265, from the GSE25599 data set, were downloaded from the Gene Expression Omnibus database and processed by quality evaluation. GSM629264 and GSM629265 were from HCC and adjacent non-cancerous tissues, respectively. TopHat software was used for alignment analysis, followed by the detection of novel splicing sites. In addition, the Cufflinks software package was used to analyze gene expressions, and the Cuffdiff program was used to screen for differently expressed genes (DEGs) and differentially expressed splicing variants. Gene ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were also performed. Transcription factors (TFs) and microRNAs (miRNAs) that regulate DEGs were identified, and a protein-protein interaction (PPI) network was constructed. The hub node in the PPI network was obtained, and the TFs and miRNAs that regulated the hub node were further predicted. The quality of the sequencing data met the standards for analysis, and the clean reads were ~65%. Most sequencing reads mapped into coding sequence exons (CDS_exons), whereas other reads mapped into exon 3′ untranslated regions (UTR_Exons), 5′UTR_Exons and Introns. Upregulated and downregulated DEGs between HCC and adjacent non-cancerous tissues were screened. Genes of differentially expressed splicing variants were identified, including vesicle-associated membrane protein 4, phosphatidylinositol glycan anchor biosynthesis class C, protein disulfide isomerase family A member 4 and growth arrest specific 5. Screened DEGs were enriched in the complement pathway. In the PPI network, ubiquitin C (UBC) was the hub node. UBC was predicted to be regulated by several TFs, including specificity protein 1 (SP1), FBJ murine osteosarcoma viral oncogene homolog (FOS), proto-oncogene c-JUN (JUN), FOS-like antigen 2 (FOSL2) and SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily A, member 4 (SMARCA4), and several miRNAs, including miR-30 and miR-181. Results from the present study demonstrated that UBC, SP1, FOS, JUN, FOSL2, SMARCA4, miR-30 and miR-181 may participate in the development of HCC. |
format | Online Article Text |
id | pubmed-5865798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-58657982018-03-27 Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing Liu, Yao Yang, Zhe Du, Feng Yang, Qiao Hou, Jie Yan, Xiaohong Geng, Yi Zhao, Yaning Wang, Hua Mol Med Rep Articles The present study aimed to explore the underlying molecular mechanisms of hepatocellular carcinoma (HCC). RNA-sequencing profiles GSM629264 and GSM629265, from the GSE25599 data set, were downloaded from the Gene Expression Omnibus database and processed by quality evaluation. GSM629264 and GSM629265 were from HCC and adjacent non-cancerous tissues, respectively. TopHat software was used for alignment analysis, followed by the detection of novel splicing sites. In addition, the Cufflinks software package was used to analyze gene expressions, and the Cuffdiff program was used to screen for differently expressed genes (DEGs) and differentially expressed splicing variants. Gene ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were also performed. Transcription factors (TFs) and microRNAs (miRNAs) that regulate DEGs were identified, and a protein-protein interaction (PPI) network was constructed. The hub node in the PPI network was obtained, and the TFs and miRNAs that regulated the hub node were further predicted. The quality of the sequencing data met the standards for analysis, and the clean reads were ~65%. Most sequencing reads mapped into coding sequence exons (CDS_exons), whereas other reads mapped into exon 3′ untranslated regions (UTR_Exons), 5′UTR_Exons and Introns. Upregulated and downregulated DEGs between HCC and adjacent non-cancerous tissues were screened. Genes of differentially expressed splicing variants were identified, including vesicle-associated membrane protein 4, phosphatidylinositol glycan anchor biosynthesis class C, protein disulfide isomerase family A member 4 and growth arrest specific 5. Screened DEGs were enriched in the complement pathway. In the PPI network, ubiquitin C (UBC) was the hub node. UBC was predicted to be regulated by several TFs, including specificity protein 1 (SP1), FBJ murine osteosarcoma viral oncogene homolog (FOS), proto-oncogene c-JUN (JUN), FOS-like antigen 2 (FOSL2) and SWI/SNF-related, matrix-associated, actin-dependent regulator of chromatin, subfamily A, member 4 (SMARCA4), and several miRNAs, including miR-30 and miR-181. Results from the present study demonstrated that UBC, SP1, FOS, JUN, FOSL2, SMARCA4, miR-30 and miR-181 may participate in the development of HCC. D.A. Spandidos 2017-11 2017-09-11 /pmc/articles/PMC5865798/ /pubmed/28901494 http://dx.doi.org/10.3892/mmr.2017.7457 Text en Copyright: © Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Liu, Yao Yang, Zhe Du, Feng Yang, Qiao Hou, Jie Yan, Xiaohong Geng, Yi Zhao, Yaning Wang, Hua Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title | Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title_full | Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title_fullStr | Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title_full_unstemmed | Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title_short | Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA-sequencing |
title_sort | molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by rna-sequencing |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5865798/ https://www.ncbi.nlm.nih.gov/pubmed/28901494 http://dx.doi.org/10.3892/mmr.2017.7457 |
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