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Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis
Hepatocellular carcinoma (HCC) is a primary cause of cancer-related death in the world. Despite the fact that there are many methods to treat HCC, the 5-year survival rate of HCC is still at a low level. Emodin can inhibit the growth of HCC cells in vitro and in vivo. However, the gene regulation of...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545785/ https://www.ncbi.nlm.nih.gov/pubmed/31236404 http://dx.doi.org/10.1155/2019/3065818 |
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author | Zhou, Rui-sheng Wang, Xiong-Wen Sun, Qin-feng Ye, Zeng Jie Liu, Jian-wei Zhou, Dai-Han Tang, Ying |
author_facet | Zhou, Rui-sheng Wang, Xiong-Wen Sun, Qin-feng Ye, Zeng Jie Liu, Jian-wei Zhou, Dai-Han Tang, Ying |
author_sort | Zhou, Rui-sheng |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a primary cause of cancer-related death in the world. Despite the fact that there are many methods to treat HCC, the 5-year survival rate of HCC is still at a low level. Emodin can inhibit the growth of HCC cells in vitro and in vivo. However, the gene regulation of emodin in HCC has not been well studied. In our research, RNA sequencing technology was used to identify the differentially expressed genes (DEGs) in HepG2 cells induced by emodin. A total of 859 DEGs were identified, including 712 downregulated genes and 147 upregulated genes in HepG2 cells treated with emodin. We used DAVID for function and pathway enrichment analysis. The protein-protein interaction (PPI) network was constructed using STRING, and Cytoscape was used for module analysis. The enriched functions and pathways of the DEGs include positive regulation of apoptotic process, structural molecule activity and lipopolysaccharide binding, protein digestion and absorption, ECM-receptor interaction, complement and coagulation cascades, and MAPK signaling pathway. 25 hub genes were identified and pathway analysis revealed that these genes were mainly enriched in neuropeptide signaling pathway, inflammatory response, and positive regulation of cytosolic calcium ion concentration. Survival analysis showed that LPAR6, C5, SSTR5, GPR68, and P2RY4 may be involved in the molecular mechanisms of emodin therapy for HCC. A quantitative real-time PCR (qRT-PCR) assay showed that the mRNA levels of LPAR6, C5, SSTR5, GPR68, and P2RY4 were significantly decreased in HepG2 cells treated with emodin. In conclusion, the identified DEGs and hub genes in the present study provide new clues for further researches on the molecular mechanisms of emodin. |
format | Online Article Text |
id | pubmed-6545785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-65457852019-06-24 Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis Zhou, Rui-sheng Wang, Xiong-Wen Sun, Qin-feng Ye, Zeng Jie Liu, Jian-wei Zhou, Dai-Han Tang, Ying Biomed Res Int Research Article Hepatocellular carcinoma (HCC) is a primary cause of cancer-related death in the world. Despite the fact that there are many methods to treat HCC, the 5-year survival rate of HCC is still at a low level. Emodin can inhibit the growth of HCC cells in vitro and in vivo. However, the gene regulation of emodin in HCC has not been well studied. In our research, RNA sequencing technology was used to identify the differentially expressed genes (DEGs) in HepG2 cells induced by emodin. A total of 859 DEGs were identified, including 712 downregulated genes and 147 upregulated genes in HepG2 cells treated with emodin. We used DAVID for function and pathway enrichment analysis. The protein-protein interaction (PPI) network was constructed using STRING, and Cytoscape was used for module analysis. The enriched functions and pathways of the DEGs include positive regulation of apoptotic process, structural molecule activity and lipopolysaccharide binding, protein digestion and absorption, ECM-receptor interaction, complement and coagulation cascades, and MAPK signaling pathway. 25 hub genes were identified and pathway analysis revealed that these genes were mainly enriched in neuropeptide signaling pathway, inflammatory response, and positive regulation of cytosolic calcium ion concentration. Survival analysis showed that LPAR6, C5, SSTR5, GPR68, and P2RY4 may be involved in the molecular mechanisms of emodin therapy for HCC. A quantitative real-time PCR (qRT-PCR) assay showed that the mRNA levels of LPAR6, C5, SSTR5, GPR68, and P2RY4 were significantly decreased in HepG2 cells treated with emodin. In conclusion, the identified DEGs and hub genes in the present study provide new clues for further researches on the molecular mechanisms of emodin. Hindawi 2019-05-19 /pmc/articles/PMC6545785/ /pubmed/31236404 http://dx.doi.org/10.1155/2019/3065818 Text en Copyright © 2019 Rui-sheng Zhou et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhou, Rui-sheng Wang, Xiong-Wen Sun, Qin-feng Ye, Zeng Jie Liu, Jian-wei Zhou, Dai-Han Tang, Ying Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title | Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title_full | Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title_fullStr | Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title_full_unstemmed | Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title_short | Anticancer Effects of Emodin on HepG2 Cell: Evidence from Bioinformatic Analysis |
title_sort | anticancer effects of emodin on hepg2 cell: evidence from bioinformatic analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545785/ https://www.ncbi.nlm.nih.gov/pubmed/31236404 http://dx.doi.org/10.1155/2019/3065818 |
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