Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma

Abstract Osteosarcoma (OS) is the most common bone tumor characterized with a high risk of amputation and malignant morbidity among teenagers and adolescents. However, relevant pathogenic/biological mechanisms underlying OS-genesis remains to be ambiguous. The aim of this study was to elucidate func...

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Autores principales:	Hao Wang, Min Tang, Liping Ou, Mengyi Hou, Tianyu Feng, Yu-E Huang, Yaqian Jin, Heng Zhang, Guowei Zuo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fc97dee1a04742e09602f6a3be29aeee
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spelling	oai:doaj.org-article:fc97dee1a04742e09602f6a3be29aeee2021-12-02T16:06:42ZBiological analysis of cancer specific microRNAs on function modeling in osteosarcoma10.1038/s41598-017-05819-72045-2322https://doaj.org/article/fc97dee1a04742e09602f6a3be29aeee2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05819-7https://doaj.org/toc/2045-2322Abstract Osteosarcoma (OS) is the most common bone tumor characterized with a high risk of amputation and malignant morbidity among teenagers and adolescents. However, relevant pathogenic/biological mechanisms underlying OS-genesis remains to be ambiguous. The aim of this study was to elucidate functional relationship about microRNAs-mRNAs networks and to identify potential molecular markers via a computational method. Gene expression profile (GSE70415) was recruited from Gene Expression Omnibus. 3856 differentially expressed genes and 250 significantly expressed microRNAs were identified by using GCBI. The results of GO and KEGG pathways associated proteomics analysis indicated that extracellular matrix organization, small molecule metabolic process, cell adhesion (GO IDs: 0030198, 0044281, 0007155) and pathways in cancer, PI3K-Akt signaling pathway, metabolic pathways (pathway IDs: 5200, 4151, 1100) were significantly enriched. In addition, CKMT2, miR-93b-5p, miR-29b-3p were found to be positively/negatively correlated with TP53, EGFR, and MMP members mediated OS development, including angiogenesis, migration and invasion. Further visualization of collective effect of 1181 microRNAs-mRNAs pairs and protein-protein interactions was realized by applying with cytosacpe. In summary, our work provided a better understanding of non-coding regulatory mechanisms of transcriptomics and unraveled essential molecular biomarkers in osteosarcoma.Hao WangMin TangLiping OuMengyi HouTianyu FengYu-E HuangYaqian JinHeng ZhangGuowei ZuoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-7 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hao Wang Min Tang Liping Ou Mengyi Hou Tianyu Feng Yu-E Huang Yaqian Jin Heng Zhang Guowei Zuo Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
description	Abstract Osteosarcoma (OS) is the most common bone tumor characterized with a high risk of amputation and malignant morbidity among teenagers and adolescents. However, relevant pathogenic/biological mechanisms underlying OS-genesis remains to be ambiguous. The aim of this study was to elucidate functional relationship about microRNAs-mRNAs networks and to identify potential molecular markers via a computational method. Gene expression profile (GSE70415) was recruited from Gene Expression Omnibus. 3856 differentially expressed genes and 250 significantly expressed microRNAs were identified by using GCBI. The results of GO and KEGG pathways associated proteomics analysis indicated that extracellular matrix organization, small molecule metabolic process, cell adhesion (GO IDs: 0030198, 0044281, 0007155) and pathways in cancer, PI3K-Akt signaling pathway, metabolic pathways (pathway IDs: 5200, 4151, 1100) were significantly enriched. In addition, CKMT2, miR-93b-5p, miR-29b-3p were found to be positively/negatively correlated with TP53, EGFR, and MMP members mediated OS development, including angiogenesis, migration and invasion. Further visualization of collective effect of 1181 microRNAs-mRNAs pairs and protein-protein interactions was realized by applying with cytosacpe. In summary, our work provided a better understanding of non-coding regulatory mechanisms of transcriptomics and unraveled essential molecular biomarkers in osteosarcoma.
format	article
author	Hao Wang Min Tang Liping Ou Mengyi Hou Tianyu Feng Yu-E Huang Yaqian Jin Heng Zhang Guowei Zuo
author_facet	Hao Wang Min Tang Liping Ou Mengyi Hou Tianyu Feng Yu-E Huang Yaqian Jin Heng Zhang Guowei Zuo
author_sort	Hao Wang
title	Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
title_short	Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
title_full	Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
title_fullStr	Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
title_full_unstemmed	Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma
title_sort	biological analysis of cancer specific micrornas on function modeling in osteosarcoma
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/fc97dee1a04742e09602f6a3be29aeee
work_keys_str_mv	AT haowang biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT mintang biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT lipingou biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT mengyihou biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT tianyufeng biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT yuehuang biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT yaqianjin biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT hengzhang biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma AT guoweizuo biologicalanalysisofcancerspecificmicrornasonfunctionmodelinginosteosarcoma
_version_	1718384942755348480

Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma

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