Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
Joint Authors
Sun, Xuegang
Liu, Yawei
Yi, Guo-zhong
Xiang, Wei
Feng, Wen-yan
Chen, Zi-yang
Li, Yao-min
Deng, Sheng-ze
Guo, Man-lan
Zhao, Liang
He, Min-yi
Qi, Song-tao
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
TMZ resistance remains one of the main reasons why treatment of glioblastoma (GBM) fails.
In order to investigate the underlying proteins and pathways associated with TMZ resistance, we conducted a cytoplasmic proteome research of U87 cells treated with TMZ for 1 week, followed by differentially expressed proteins (DEPs) screening, KEGG pathway analysis, protein–protein interaction (PPI) network construction, and validation of key candidate proteins in TCGA dataset.
A total of 161 DEPs including 65 upregulated proteins and 96 downregulated proteins were identified.
Upregulated DEPs were mainly related to regulation in actin cytoskeleton, focal adhesion, and phagosome and PI3K-AKT signaling pathways which were consistent with our previous studies.
Further, the most significant module consisted of 28 downregulated proteins that were filtered from the PPI network, and 9 proteins (DHX9, HNRNPR, RPL3, HNRNPA3, SF1, DDX5, EIF5B, BTF3, and RPL8) among them were identified as the key candidate proteins, which were significantly associated with prognosis of GBM patients and mainly involved in ribosome and spliceosome pathway.
Taking the above into consideration, we firstly identified candidate proteins and pathways associated with TMZ resistance in GBM using proteomics and bioinformatic analysis, and these proteins could be potential biomarkers for prevention or prediction of TMZ resistance in the future.
American Psychological Association (APA)
Yi, Guo-zhong& Xiang, Wei& Feng, Wen-yan& Chen, Zi-yang& Li, Yao-min& Deng, Sheng-ze…[et al.]. 2018. Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis. BioMed Research International،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127169
Modern Language Association (MLA)
Yi, Guo-zhong…[et al.]. Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis. BioMed Research International No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1127169
American Medical Association (AMA)
Yi, Guo-zhong& Xiang, Wei& Feng, Wen-yan& Chen, Zi-yang& Li, Yao-min& Deng, Sheng-ze…[et al.]. Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127169