Identification of Key Candidate Proteins and Pathways Associated with Temozolomide Resistance in Glioblastoma Based on Subcellular Proteomics and Bioinformatical Analysis
المؤلفون المشاركون
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
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-01
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1127169
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر