کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5905200 | 1159857 | 2016 | 35 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification of gene markers in the development of smoking-induced lung cancer
ترجمه فارسی عنوان
شناسایی مارکرهای ژنی در توسعه سرطان ریه ناشی از سیگار کشیدن
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کلمات کلیدی
EGFRCytochrome P450 2A6XRCC1eEF1A1NF-κBCYP2A6ROCMAPK1RFESMAD4PPICYP1A1GEOGSTM1DEGsAUC - AUCEnrichment analysis - تجزیه و تحلیل غنی سازیexcision repair cross-complementation group 1 - ترمیم مجدد مکمل گروه 1Protein–protein interaction - تعامل پروتئین-پروتئینRecursive feature elimination - حذف ویژگی های بازگشتیKEGG 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 کیوتوDAVID - دیویدLung cancer - سرطان ریهNSCLC - سرطان ریوی غیر سلول کوچکNon-small cell lung cancer - سرطان غیر سلول کوچک ریهcytochrome P450 1A1 - سیتوکروم P450 1A1Protein–protein interaction network - شبکه متقابل پروتئین-پروتئینnuclear factor κB - فاکتور هسته ای κBSVM - ماشین بردار پشتیبانیSupport vector machine - ماشین بردار پشتیبانیarea under the curve - منطقه تحت منحنیGene ontology - هستیشناسی ژنیdatabase for annotation, visualization and integrated discovery - پایگاه داده برای حاشیه نویسی، تجسم و کشف یکپارچهmitogen-activated protein kinase 1 - پروتئین کیناز فعال با mitogen-1ERCC1 - ژن ERCC1Gene Expression Omnibus - ژن بیان OmnibusDifferentially expressed genes - ژن های متفاوت بیان شده استreceiver operating characteristic - گیرنده عامل عاملEpidermal growth factor receptor - گیرنده فاکتور رشد اپیدرمال
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
چکیده انگلیسی
Lung cancer is a malignant tumor with high mortality in both women and men. To study the mechanisms of smoking-induced lung cancer, we analyzed microarray of GSE4115. GSE4115 was downloaded from Gene Expression Omnibus including 78 and 85 bronchial epithelium tissue samples separately from smokers with and without lung cancer. Limma package in R was used to screen differentially expressed genes (DEGs). Hierarchical cluster analysis for DEGs was conducted using orange software and visualized by distance map. Using DAVID software, functional and pathway enrichment analyses separately were conducted for the DEGs. And protein-protein interaction (PPI) network was constructed using Cytoscape software. Then, the pathscores of enriched pathways were calculated. Besides, functional features were screened and optimized using the recursive feature elimination (RFE) method. Additionally, the support vector machine (SVM) method was used to train model. Total 1923 DEGs were identified between the two groups. Hierarchical cluster analysis indicated that there were differences in gene level between the two groups. And SVM analysis indicated that the five features had potential diagnostic value. Importantly, MAPK1 (degree = 30), SRC (degree = 29), SMAD4 (degree = 23), EEF1A1 (degree = 21), TRAF2 (degree = 21) and PLCG1 (degree = 20) had higher degrees in the PPI network of the DEGs. They might be involved in smoking-induced lung cancer by interacting with each other (e.g. MAPK1-SMAD4, SMAD4-EEF1A1 and SRC-PLCG1). MAPK1, SRC, SMAD4, EEF1A1, TRAF2 and PLCG1 might be responsible for the development of smoking-induced lung cancer.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 576, Issue 1, Part 3, 15 January 2016, Pages 451-457
Journal: Gene - Volume 576, Issue 1, Part 3, 15 January 2016, Pages 451-457
نویسندگان
Zhao Yang, Bing Zhuan, Ying Yan, Simin Jiang, Tao Wang,