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Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis

RNA‐sequencing (RNA‐Seq) is a useful method to explore the molecular events in cells and tissues at the transcriptional level. However, comprehensive transcriptome analysis of hepatocarcinogenesis and progression is lacking. In this study, we aimed to characterize a dimethylnitrosamine (DEN) and car...

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Autores principales: Sun, Jie, Wang, Jing, Zhang, Na, Yang, Renjun, Chen, Keyang, Kong, Derun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823285/
https://www.ncbi.nlm.nih.gov/pubmed/31433574
http://dx.doi.org/10.1002/2211-5463.12724
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author Sun, Jie
Wang, Jing
Zhang, Na
Yang, Renjun
Chen, Keyang
Kong, Derun
author_facet Sun, Jie
Wang, Jing
Zhang, Na
Yang, Renjun
Chen, Keyang
Kong, Derun
author_sort Sun, Jie
collection PubMed
description RNA‐sequencing (RNA‐Seq) is a useful method to explore the molecular events in cells and tissues at the transcriptional level. However, comprehensive transcriptome analysis of hepatocarcinogenesis and progression is lacking. In this study, we aimed to characterize a dimethylnitrosamine (DEN) and carbon tetrachloride (CCl(4); DEN+CCl(4))‐induced hepatocellular carcinoma (HCC) mouse model by RNA‐Seq. In total, 2033 genes were up‐regulated and 841 genes were down‐regulated after DEN and CCl(4) stimulation. The differentially expressed genes were highly enriched for the Gene Ontology terms oxoacid metabolic process, carboxylic acid metabolic process, and organic acid metabolic process. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the top five significantly overrepresented pathways were metabolic pathways, chemical carcinogenesis, steroid hormone biosynthesis, retinol metabolism and metabolism of xenobiotics by cytochrome P450. Moreover, a protein‐protein interaction network analysis indicated that Rous sarcoma oncogene (Src) may play a key role in DEN+CCl(4)‐induced HCC. These results provide a comprehensive overview of transcriptome events in DEN+CCl(4)‐induced HCC.
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spelling pubmed-68232852019-11-06 Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis Sun, Jie Wang, Jing Zhang, Na Yang, Renjun Chen, Keyang Kong, Derun FEBS Open Bio Research Articles RNA‐sequencing (RNA‐Seq) is a useful method to explore the molecular events in cells and tissues at the transcriptional level. However, comprehensive transcriptome analysis of hepatocarcinogenesis and progression is lacking. In this study, we aimed to characterize a dimethylnitrosamine (DEN) and carbon tetrachloride (CCl(4); DEN+CCl(4))‐induced hepatocellular carcinoma (HCC) mouse model by RNA‐Seq. In total, 2033 genes were up‐regulated and 841 genes were down‐regulated after DEN and CCl(4) stimulation. The differentially expressed genes were highly enriched for the Gene Ontology terms oxoacid metabolic process, carboxylic acid metabolic process, and organic acid metabolic process. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that the top five significantly overrepresented pathways were metabolic pathways, chemical carcinogenesis, steroid hormone biosynthesis, retinol metabolism and metabolism of xenobiotics by cytochrome P450. Moreover, a protein‐protein interaction network analysis indicated that Rous sarcoma oncogene (Src) may play a key role in DEN+CCl(4)‐induced HCC. These results provide a comprehensive overview of transcriptome events in DEN+CCl(4)‐induced HCC. John Wiley and Sons Inc. 2019-09-29 /pmc/articles/PMC6823285/ /pubmed/31433574 http://dx.doi.org/10.1002/2211-5463.12724 Text en © 2019 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Sun, Jie
Wang, Jing
Zhang, Na
Yang, Renjun
Chen, Keyang
Kong, Derun
Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title_full Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title_fullStr Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title_full_unstemmed Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title_short Whole transcriptome analysis of chemically induced hepatocellular carcinoma using RNA‐sequencing analysis
title_sort whole transcriptome analysis of chemically induced hepatocellular carcinoma using rna‐sequencing analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823285/
https://www.ncbi.nlm.nih.gov/pubmed/31433574
http://dx.doi.org/10.1002/2211-5463.12724
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