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Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq
OBJECTIVE: Osteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS. RESULTS: In total, 111 differentially expressed genes (DEGs) were identified in primary OS compared with normal control...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349981/ https://www.ncbi.nlm.nih.gov/pubmed/27888627 http://dx.doi.org/10.18632/oncotarget.13554 |
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author | Yang, Yihao Zhang, Ya Qu, Xin Xia, Junfeng Li, Dongqi Li, Xiaojuan Wang, Yu He, Zewei Li, Su Zhou, Yonghong Xie, Lin Yang, Zuozhang |
author_facet | Yang, Yihao Zhang, Ya Qu, Xin Xia, Junfeng Li, Dongqi Li, Xiaojuan Wang, Yu He, Zewei Li, Su Zhou, Yonghong Xie, Lin Yang, Zuozhang |
author_sort | Yang, Yihao |
collection | PubMed |
description | OBJECTIVE: Osteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS. RESULTS: In total, 111 differentially expressed genes (DEGs) were identified in primary OS compared with normal controls and 235 DEGs were identified in metastatic OS compared with primary OS. AURKB and PPP2R2B were the significantly up-regulated and down-regulated hub proteins, respectively, in the PPI protein-protein network (PPI) network of primary OS. ISG15 and BTRC were the significantly up-regulated and down-regulated hub proteins, respectively, in the network of metastatic OS. The DEGs in metastatic OS compared with primary OS were significantly enriched in the arachidonic acid metabolism, malaria, and chemokine signaling pathways. Finally, we employed quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression levels of candidate DEGs and the results indicated that our bioinformatics approach was acceptable. MATERIALS AND METHODS: The mRNA expression profiling of 20 subjects was obtained through high-throughput RNA-sequencing. DEGs were identified between primary OS and normal Control, and between primary OS and metastatic OS, respectively. Functional annotation and PPI networks were used to obtain insights into the functions of DEGs. qRT-PCR was performed to detect the expression levels of dysregulated genes in OS. CONCLUSIONS: Our work might provide groundwork for the further exploration of tumorigenesis and metastasis mechanisms of OS. |
format | Online Article Text |
id | pubmed-5349981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53499812017-04-06 Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq Yang, Yihao Zhang, Ya Qu, Xin Xia, Junfeng Li, Dongqi Li, Xiaojuan Wang, Yu He, Zewei Li, Su Zhou, Yonghong Xie, Lin Yang, Zuozhang Oncotarget Research Paper OBJECTIVE: Osteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS. RESULTS: In total, 111 differentially expressed genes (DEGs) were identified in primary OS compared with normal controls and 235 DEGs were identified in metastatic OS compared with primary OS. AURKB and PPP2R2B were the significantly up-regulated and down-regulated hub proteins, respectively, in the PPI protein-protein network (PPI) network of primary OS. ISG15 and BTRC were the significantly up-regulated and down-regulated hub proteins, respectively, in the network of metastatic OS. The DEGs in metastatic OS compared with primary OS were significantly enriched in the arachidonic acid metabolism, malaria, and chemokine signaling pathways. Finally, we employed quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression levels of candidate DEGs and the results indicated that our bioinformatics approach was acceptable. MATERIALS AND METHODS: The mRNA expression profiling of 20 subjects was obtained through high-throughput RNA-sequencing. DEGs were identified between primary OS and normal Control, and between primary OS and metastatic OS, respectively. Functional annotation and PPI networks were used to obtain insights into the functions of DEGs. qRT-PCR was performed to detect the expression levels of dysregulated genes in OS. CONCLUSIONS: Our work might provide groundwork for the further exploration of tumorigenesis and metastasis mechanisms of OS. Impact Journals LLC 2016-11-24 /pmc/articles/PMC5349981/ /pubmed/27888627 http://dx.doi.org/10.18632/oncotarget.13554 Text en Copyright: © 2016 Yang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Yang, Yihao Zhang, Ya Qu, Xin Xia, Junfeng Li, Dongqi Li, Xiaojuan Wang, Yu He, Zewei Li, Su Zhou, Yonghong Xie, Lin Yang, Zuozhang Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title | Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title_full | Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title_fullStr | Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title_full_unstemmed | Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title_short | Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq |
title_sort | identification of differentially expressed genes in the development of osteosarcoma using rna-seq |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349981/ https://www.ncbi.nlm.nih.gov/pubmed/27888627 http://dx.doi.org/10.18632/oncotarget.13554 |
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