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Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis
BACKGROUND: The generation of hematopoietic stem cells (HSCs) and blood cells from human embryonic stem cells (hESCs) is a major goal for regenerative medicine; however, the differentiation mechanisms are largely undefined. Here, we aimed to identify the regulated genes and functional modules relate...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225692/ https://www.ncbi.nlm.nih.gov/pubmed/30409225 http://dx.doi.org/10.1186/s13287-018-1050-7 |
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author | Li, Pengfei Wu, Mengyao Lin, Qiwang Wang, Shu Chen, Tong Jiang, Hua |
author_facet | Li, Pengfei Wu, Mengyao Lin, Qiwang Wang, Shu Chen, Tong Jiang, Hua |
author_sort | Li, Pengfei |
collection | PubMed |
description | BACKGROUND: The generation of hematopoietic stem cells (HSCs) and blood cells from human embryonic stem cells (hESCs) is a major goal for regenerative medicine; however, the differentiation mechanisms are largely undefined. Here, we aimed to identify the regulated genes and functional modules related to the early differentiation of the endothelial-to-hematopoietic transition (EHT) using comprehensive bioinformatics analyses. METHODS: Undifferentiated hESCs (hESC-H9), CD34(+) cells from 10-day differentiated hESC-H9 cells, and CD34(+) cells from umbilical cord cells were isolated and collected. Cells from these three groups were subjected to RNA extraction and microarray analysis by which differentially expressed genes (DEGs) and time-series profiles were analyzed by significance analysis of microarray (SAM) and short time-series expression miner (STEM) algorithms. Gene enrichment analysis was performed by ClusterProfiler Package in Rstudio, while a protein-protein interaction (PPI) network was constructed by search tool for the retrieval of interacting genes (STRING) and visualized in Cytoscape. Hub genes were further identified with the MCODE algorithm in Cytoscape. RESULTS: In the present study, we identified 11,262 DEGs and 16 time-series profiles that were enriched in biological processes of chromosome segregation, cell cycle, and leukocyte activation and differentiation, as well as hematopoiesis. Analysis using the MCODE algorithm further identified six integrated modules that might play an important role in the EHT process, including mitosis/cell cycle, mitochondrial process, splicing, ubiquitination, ribosome, and apoptosis. CONCLUSIONS: The study identified potential genes and integrated functional modules associated with the hematopoietic and endothelial differentiation of human ESCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-018-1050-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6225692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62256922018-11-19 Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis Li, Pengfei Wu, Mengyao Lin, Qiwang Wang, Shu Chen, Tong Jiang, Hua Stem Cell Res Ther Research BACKGROUND: The generation of hematopoietic stem cells (HSCs) and blood cells from human embryonic stem cells (hESCs) is a major goal for regenerative medicine; however, the differentiation mechanisms are largely undefined. Here, we aimed to identify the regulated genes and functional modules related to the early differentiation of the endothelial-to-hematopoietic transition (EHT) using comprehensive bioinformatics analyses. METHODS: Undifferentiated hESCs (hESC-H9), CD34(+) cells from 10-day differentiated hESC-H9 cells, and CD34(+) cells from umbilical cord cells were isolated and collected. Cells from these three groups were subjected to RNA extraction and microarray analysis by which differentially expressed genes (DEGs) and time-series profiles were analyzed by significance analysis of microarray (SAM) and short time-series expression miner (STEM) algorithms. Gene enrichment analysis was performed by ClusterProfiler Package in Rstudio, while a protein-protein interaction (PPI) network was constructed by search tool for the retrieval of interacting genes (STRING) and visualized in Cytoscape. Hub genes were further identified with the MCODE algorithm in Cytoscape. RESULTS: In the present study, we identified 11,262 DEGs and 16 time-series profiles that were enriched in biological processes of chromosome segregation, cell cycle, and leukocyte activation and differentiation, as well as hematopoiesis. Analysis using the MCODE algorithm further identified six integrated modules that might play an important role in the EHT process, including mitosis/cell cycle, mitochondrial process, splicing, ubiquitination, ribosome, and apoptosis. CONCLUSIONS: The study identified potential genes and integrated functional modules associated with the hematopoietic and endothelial differentiation of human ESCs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13287-018-1050-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-08 /pmc/articles/PMC6225692/ /pubmed/30409225 http://dx.doi.org/10.1186/s13287-018-1050-7 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Li, Pengfei Wu, Mengyao Lin, Qiwang Wang, Shu Chen, Tong Jiang, Hua Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title | Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title_full | Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title_fullStr | Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title_full_unstemmed | Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title_short | Key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
title_sort | key genes and integrated modules in hematopoietic differentiation of human embryonic stem cells: a comprehensive bioinformatic analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225692/ https://www.ncbi.nlm.nih.gov/pubmed/30409225 http://dx.doi.org/10.1186/s13287-018-1050-7 |
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