Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells

Adipose stem cells (ASCs) are an attractive cell source for treating many human diseases including osteoporosis. However, the molecular mechanisms accounting for ASC osteogenesis are poorly known. In this study, ASCs were first isolated from the fat tissues from the patients with osteoporosis. The g...

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Main Authors: Jinluo Cheng, Xinyuan Zhao, Juan Liu, Li Cui, Yanfeng Zhu, Xiaoqing Yuan, Jianbo Gao, Yunfeng Du, Xinmin Yan, Shen Hu
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Stem Cells International
Online Access:http://dx.doi.org/10.1155/2019/1705629
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spelling doaj-3abb1dcf74304fd0bad08a3c260ad37f2020-11-25T02:29:28ZengHindawi LimitedStem Cells International1687-966X1687-96782019-01-01201910.1155/2019/17056291705629Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem CellsJinluo Cheng0Xinyuan Zhao1Juan Liu2Li Cui3Yanfeng Zhu4Xiaoqing Yuan5Jianbo Gao6Yunfeng Du7Xinmin Yan8Shen Hu9Changzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaStomatological Hospital, Southern Medical University, Guangzhou, ChinaChangzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaSchool of Dentistry, University of California, Los Angeles, California, USASchool of Public Health, Chengdu Medical College, Chengdu, ChinaChangzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaChangzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaChangzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaChangzhou Second People’s Hospital, Nanjing Medical University, Changzhou, ChinaSchool of Dentistry, University of California, Los Angeles, California, USAAdipose stem cells (ASCs) are an attractive cell source for treating many human diseases including osteoporosis. However, the molecular mechanisms accounting for ASC osteogenesis are poorly known. In this study, ASCs were first isolated from the fat tissues from the patients with osteoporosis. The global transcriptome profile between osteogenic differentiated ASCs and undifferentiated ASCs was compared using RNA sequencing (RNA-seq). Then, bioinformatic analysis was performed to reveal the central genes and pathways that regulated the osteogenic differentiation of ASCs. One of the interested genes C5AR1 was chosen for further investigation. A total of 1521 upregulated and 3020 downregulated genes were identified between the ASCs with osteogenic induction and controls. Functional gene ontology analysis revealed that these significantly differentially expressed genes (DEGs) were associated with cell cycle, protein binding, and nucleotide binding. Pathway analysis showed that many canonical pathways, such as the MAPK signaling pathway and the PI3K-AKT pathway, might actively be involved in regulating osteogenic differentiation of ASCs. A total of three subnetworks and 20 central nodes were identified by the protein-protein interaction analysis. In addition, the expression level of C5AR1 was significantly increased during osteogenic differentiation of ASCs. The downregulation of C5AR1 dramatically reduced the expression levels of osteogenic differentiation biomarkers and calcium nodule formation capacity. Collectively, we have provided a number of novel genes and pathways that might be indispensable for ASC osteogenic differentiation. Manipulating the levels of this candidate gene might contribute to the osteoporosis therapy.http://dx.doi.org/10.1155/2019/1705629
collection DOAJ
language English
format Article
sources DOAJ
author Jinluo Cheng
Xinyuan Zhao
Juan Liu
Li Cui
Yanfeng Zhu
Xiaoqing Yuan
Jianbo Gao
Yunfeng Du
Xinmin Yan
Shen Hu
spellingShingle Jinluo Cheng
Xinyuan Zhao
Juan Liu
Li Cui
Yanfeng Zhu
Xiaoqing Yuan
Jianbo Gao
Yunfeng Du
Xinmin Yan
Shen Hu
Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
Stem Cells International
author_facet Jinluo Cheng
Xinyuan Zhao
Juan Liu
Li Cui
Yanfeng Zhu
Xiaoqing Yuan
Jianbo Gao
Yunfeng Du
Xinmin Yan
Shen Hu
author_sort Jinluo Cheng
title Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
title_short Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
title_full Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
title_fullStr Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
title_full_unstemmed Bioinformatic Analysis of Transcriptomic Data Reveals Novel Key Genes Regulating Osteogenic Differentiation of Human Adipose Stem Cells
title_sort bioinformatic analysis of transcriptomic data reveals novel key genes regulating osteogenic differentiation of human adipose stem cells
publisher Hindawi Limited
series Stem Cells International
issn 1687-966X
1687-9678
publishDate 2019-01-01
description Adipose stem cells (ASCs) are an attractive cell source for treating many human diseases including osteoporosis. However, the molecular mechanisms accounting for ASC osteogenesis are poorly known. In this study, ASCs were first isolated from the fat tissues from the patients with osteoporosis. The global transcriptome profile between osteogenic differentiated ASCs and undifferentiated ASCs was compared using RNA sequencing (RNA-seq). Then, bioinformatic analysis was performed to reveal the central genes and pathways that regulated the osteogenic differentiation of ASCs. One of the interested genes C5AR1 was chosen for further investigation. A total of 1521 upregulated and 3020 downregulated genes were identified between the ASCs with osteogenic induction and controls. Functional gene ontology analysis revealed that these significantly differentially expressed genes (DEGs) were associated with cell cycle, protein binding, and nucleotide binding. Pathway analysis showed that many canonical pathways, such as the MAPK signaling pathway and the PI3K-AKT pathway, might actively be involved in regulating osteogenic differentiation of ASCs. A total of three subnetworks and 20 central nodes were identified by the protein-protein interaction analysis. In addition, the expression level of C5AR1 was significantly increased during osteogenic differentiation of ASCs. The downregulation of C5AR1 dramatically reduced the expression levels of osteogenic differentiation biomarkers and calcium nodule formation capacity. Collectively, we have provided a number of novel genes and pathways that might be indispensable for ASC osteogenic differentiation. Manipulating the levels of this candidate gene might contribute to the osteoporosis therapy.
url http://dx.doi.org/10.1155/2019/1705629
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