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Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes
Due to the lack of potential organs, hepatocellular transplantation has been considered for treating end-stage liver disease. Induced pluripotent stem cells (iPSCs) are reverted from somatic cells and are able to differentiate into hepatocytes. The present study aimed to investigate the mechanisms u...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802208/ https://www.ncbi.nlm.nih.gov/pubmed/29328449 http://dx.doi.org/10.3892/mmr.2018.8385 |
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author | Lin, Rui Wang, Yufeng Ji, Kun Liu, Zhongyan Xiao, Shuai Zhou, Dehua Chen, Quanning Shi, Baomin |
author_facet | Lin, Rui Wang, Yufeng Ji, Kun Liu, Zhongyan Xiao, Shuai Zhou, Dehua Chen, Quanning Shi, Baomin |
author_sort | Lin, Rui |
collection | PubMed |
description | Due to the lack of potential organs, hepatocellular transplantation has been considered for treating end-stage liver disease. Induced pluripotent stem cells (iPSCs) are reverted from somatic cells and are able to differentiate into hepatocytes. The present study aimed to investigate the mechanisms underlying iPSC differentiation to hepatocytes. GSE66076 was downloaded from the Gene Expression Omnibus; this database includes data from 3 undifferentiated (T0), 3 definitive endoderm (T5), and 3 early hepatocyte (T24) samples across hepatic-directed differentiation of iPSCs. Differentially expressed genes (DEGs) between T0 and T5 or T24 samples were identified using the linear models for microarray data package in Bioconductor, and enrichment analyses were performed. Using the weighted correlation network analysis package in R, clusters were identified for the merged DEGs. Cytoscape was used to construct protein-protein interaction (PPI) networks for DEGs identified to belong to significant clusters. Using the ReactomeFI plugin in Cytoscape, functional interaction (FI) networks were constructed for the common genes. A total of 433 and 1,342 DEGs were identified in the T5 and T24 samples respectively, compared with the T0 samples. Blue and turquoise clusters were identified as significant gene clusters. In the PPI network for DEGs in the blue cluster, the key node fibroblast growth factor 2 (FGF2) could interact with bone morphogenetic protein 2 (BMP2). Cyclin-dependent kinase 1 (CDK1) was demonstrated to have the highest degree (degree=71) in the PPI network for DEGs in the turquoise cluster. Enrichment analysis for the common genes, including hepatocyte nuclear factor 4α (HNF4A) and epidermal growth factor (EGF), in the FI network indicated that EGF and FGF2 were enriched in the Ras and Rap1 signaling pathways. The present results suggest that FGF2, BMP2, CDK1, HNF4A and EGF may participate in the differentiation of iPSCs into hepatocytes. |
format | Online Article Text |
id | pubmed-5802208 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-58022082018-02-26 Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes Lin, Rui Wang, Yufeng Ji, Kun Liu, Zhongyan Xiao, Shuai Zhou, Dehua Chen, Quanning Shi, Baomin Mol Med Rep Articles Due to the lack of potential organs, hepatocellular transplantation has been considered for treating end-stage liver disease. Induced pluripotent stem cells (iPSCs) are reverted from somatic cells and are able to differentiate into hepatocytes. The present study aimed to investigate the mechanisms underlying iPSC differentiation to hepatocytes. GSE66076 was downloaded from the Gene Expression Omnibus; this database includes data from 3 undifferentiated (T0), 3 definitive endoderm (T5), and 3 early hepatocyte (T24) samples across hepatic-directed differentiation of iPSCs. Differentially expressed genes (DEGs) between T0 and T5 or T24 samples were identified using the linear models for microarray data package in Bioconductor, and enrichment analyses were performed. Using the weighted correlation network analysis package in R, clusters were identified for the merged DEGs. Cytoscape was used to construct protein-protein interaction (PPI) networks for DEGs identified to belong to significant clusters. Using the ReactomeFI plugin in Cytoscape, functional interaction (FI) networks were constructed for the common genes. A total of 433 and 1,342 DEGs were identified in the T5 and T24 samples respectively, compared with the T0 samples. Blue and turquoise clusters were identified as significant gene clusters. In the PPI network for DEGs in the blue cluster, the key node fibroblast growth factor 2 (FGF2) could interact with bone morphogenetic protein 2 (BMP2). Cyclin-dependent kinase 1 (CDK1) was demonstrated to have the highest degree (degree=71) in the PPI network for DEGs in the turquoise cluster. Enrichment analysis for the common genes, including hepatocyte nuclear factor 4α (HNF4A) and epidermal growth factor (EGF), in the FI network indicated that EGF and FGF2 were enriched in the Ras and Rap1 signaling pathways. The present results suggest that FGF2, BMP2, CDK1, HNF4A and EGF may participate in the differentiation of iPSCs into hepatocytes. D.A. Spandidos 2018-03 2018-01-05 /pmc/articles/PMC5802208/ /pubmed/29328449 http://dx.doi.org/10.3892/mmr.2018.8385 Text en Copyright: © Lin 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 Lin, Rui Wang, Yufeng Ji, Kun Liu, Zhongyan Xiao, Shuai Zhou, Dehua Chen, Quanning Shi, Baomin Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title | Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title_full | Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title_fullStr | Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title_full_unstemmed | Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title_short | Bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
title_sort | bioinformatics analysis to screen key genes implicated in the differentiation of induced pluripotent stem cells to hepatocytes |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802208/ https://www.ncbi.nlm.nih.gov/pubmed/29328449 http://dx.doi.org/10.3892/mmr.2018.8385 |
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