کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5905636 | 1159922 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Reconstructing the coding and non-coding RNA regulatory networks of miRNAs and mRNAs in breast cancer
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کلمات کلیدی
GOBPBreast cancer (BC)MCCmRNAHGTFDRROCGSEAGEOSAMAUC - AUCmessenger RNA - RNA messengerGene Set Enrichment Analysis - تجزیه و تحلیل غنی سازی مجموعه ژنیIntegrated analysis - تجزیه و تحلیل یکپارچهfold change - تغییر در برابرbasal-like breast cancer - سرطان سینه پایه مانندBreast cancer - سرطان پستانconfidential interval - محدوده محرمانهarea under roc curve - منطقه تحت منحنی rocfalse discovery rate - میزان کشف کاذبMicroRNA - میکرو RNA MiRNA - میکروRNA، ریزآرانای، miRNAodds ratio - نسبت شانس هاGene Expression Omnibus - ژن بیان Omnibusreceiver operating characteristic curves - گیرنده ویژگی های منحنی مشخصه
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Reconstructing the coding and non-coding RNA regulatory networks of miRNAs and mRNAs in breast cancer Reconstructing the coding and non-coding RNA regulatory networks of miRNAs and mRNAs in breast cancer](/preview/png/5905636.png)
چکیده انگلیسی
microRNAs (miRNAs) are a class of small non-coding RNAs that deregulate and/or decrease the expression of target messenger RNAs (mRNAs), which specifically contribute to complex diseases. In our study, we reanalyzed an integrated data to promote classification performance by rebuilding miRNA-mRNA modules, in which a group of deregulated miRNAs cooperatively regulated a group of significant mRNAs. In five-fold cross validation, the multiple processes flow considered the biological and statistical significant correlations. First, of statistical significant miRNAs, 6 were identified as core miRNAs. Second, in the 13 significant pathways enriched by gene set enrichment analysis (GSEA), 705 deregulated mRNAs were found. Based on the union of predicted sets and correlation sets, 6 modules were built. Finally, after verified by test sets, three indexes, including area under the ROC curve (AUC), Accuracy and Matthews correlation coefficients (MCCs), indicated only 4 modules (miR-106b-CIT-KPNA2-miR-93, miR-106b-POLQ-miR-93, miR-107-BTRC-UBR3-miR-16 and miR-200c-miR-16-EIF2B5-miR-15b) had discriminated ability and their classification performance were prior to that of the single molecules. By applying this flow to different subtypes, Module 1 was the consistent module across subtypes, but some different modules were still specific to each subtype. Taken together, this method gives new insight to building modules related to complex diseases and simultaneously can give a supplement to explain the mechanism of breast cancer (BC).
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 548, Issue 1, 10 September 2014, Pages 6-13
Journal: Gene - Volume 548, Issue 1, 10 September 2014, Pages 6-13
نویسندگان
Sheng Yang, Hui Zhang, Li Guo, Yang Zhao, Feng Chen,