کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5589643 | 1569809 | 2017 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification of potential crucial genes associated with steroid-induced necrosis of femoral head based on gene expression profile
ترجمه فارسی عنوان
شناسایی ژنهای حیاتی بالقوه مرتبط با نکروز ناشی از استروئید سر فمورال بر اساس مشخصات بیان ژن
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
PPIGEODEGsNFHRMAEnrichment analysis - تجزیه و تحلیل غنی سازیProtein–protein interaction - تعامل پروتئین-پروتئینKEGG یا Kyoto Encyclopedia of Genes and Genomes - دایرة المعارف ژن ها و ژنوم کیوتو Kyoto Encyclopedia of Genes and Genomes - دایره المعارف ژنتیک ژن ها و ژنوم کیوتوnetwork - شبکهVascular endothelial growth factor - فاکتور رشد اندوتلیال عروقیVascular Endothelial Growth Factor (VEGF) - فاکتور رشد اندوتلیال عروقی (VEGF)Gene ontology - هستیشناسی ژنیGene Expression Omnibus - ژن بیان OmnibusDifferentially expressed gene - ژن بیان شده متفاوت است
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
چکیده انگلیسی
The aim of this study was to explore potential crucial genes associated with the steroid-induced necrosis of femoral head (SINFH) and to provide valid biological information for further investigation of SINFH. Gene expression profile of GSE26316, generated from 3 SINFH rat samples and 3 normal rat samples were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified using LIMMA package. After functional enrichment analyses of DEGs, protein-protein interaction (PPI) network and sub-PPI network analyses were conducted based on the STRING database and cytoscape. In total, 59 up-regulated DEGs and 156 downregulated DEGs were identified. The up-regulated DEGs were mainly involved in functions about immunity (e.g. Fcer1A and Il7R), and the downregulated DEGs were mainly enriched in muscle system process (e.g. Tnni2, Mylpf and Myl1). The PPI network of DEGs consisted of 123 nodes and 300 interactions. Tnni2, Mylpf, and Myl1 were the top 3 outstanding genes based on both subgraph centrality and degree centrality evaluation. These three genes interacted with each other in the network. Furthermore, the significant network module was composed of 22 downregulated genes (e.g. Tnni2, Mylpf and Myl1). These genes were mainly enriched in functions like muscle system process. The DEGs related to the regulation of immune system process (e.g. Fcer1A and Il7R), and DEGs correlated with muscle system process (e.g. Tnni2, Mylpf and Myl1) may be closely associated with the progress of SINFH, which is still needed to be confirmed by experiments.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 627, 5 September 2017, Pages 322-326
Journal: Gene - Volume 627, 5 September 2017, Pages 322-326
نویسندگان
Zhe Lin, Yongsheng Lin,