打开APP
userphoto
未登录

开通VIP,畅享免费电子书等14项超值服

开通VIP
TCGA套路文章大全

一是直接找全局miRNA/mRNA表达对


  • Identifying MicroRNA-mRNA regulatory network in colorectal cancer by a combination of expression profile and bioinformatics analysis 

GSE35982,BMC,2012

  • Identifying microRNA/mRNA dysregulations in ovarian cancer 

TCGA,BMC,2012

  • Clear cell renal cell carcinoma associated microRNA expression signatures identified by an integrated bioinformatics analysis 

(GSE11016,GSE12105,GSE16441,GSE23085),BMC,2013

  • MicroRNA-mRNA interactions underlying colorectal cancer molecular subtypes. 

TCGA,Nat Commun. 2015

  • Prognostic microRNA/mRNA signature from the integrated analysis of patients with invasive breast cancer 

TCGA,PNAS,2013

  • Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis 

GSE19783 ,Tumor Biology,2015

  • Integration of MicroRNA, mRNA, and Protein Expression Data for the Identification of Cancer-Related MicroRNAs 

TCGA,PLOS ONE,2017

  • Prediction of clinical outcome in glioblastoma using a biologically relevant nine-microRNA signature 

tcga,Molecular Oncology,2015

  • Genomic and Epigenomic Landscapes of Adult De Novo Acute Myeloid Leukemia

  • Meta-analysis of microRNA expression in lung cancer 

GEO,International journal of cancer 2012


二是仅仅是针对感兴趣基因来分析公共数据


SAMSN1 Is Highly Expressed and Associated with a Poor Survival in Glioblastoma Multiforme(2013 PLOS ONE)

  • Cancer-Testis Antigen Expression in Serous Endometrial Cancer with Loss of X Chromosome Inactivation]http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0137476) 

TCGA,PLOS ONE,2014

  • NTRK1 Fusion in Glioblastoma Multiforme 

TCGA,PLOS ONE,2014

  • AKT Pathway Genes Define 5 Prognostic Subgroups in Glioblastoma 

(GSE 4271, GSE4412),PLOS ONE,2014

  • Integrated Analyses of microRNAs Demonstrate Their Widespread Influence on Gene Expression in High-Grade Serous Ovarian Carcinoma 

TCGA,PLOS ONE,2014

  • Identification of MicroRNAs as Breast Cancer Prognosis Markers through the Cancer Genome Atlas 

TCGA,PLOS ONE,2016

  • The mRNA related ceRNA–ceRNA landscape and significance across 20 major cancer types 

TCGA,Nucl Acids Res (2015)

  • Genomic and Transcriptomic Alterations Associated with STAT3 Activation in Head and Neck Cancer 

TCGA,PLOS ONE,2016 

首先指明一个现象,多种癌症里面,尤其是HNSCC中,STAT3基因的第705个酪氨酸(Y,tyrosine)的磷酸化导致它被过度激活。 

所以,就针对STAT3基因抓取了HNSCC里面的各种关于它的数据:Mutation, mRNA expression, promoter methylation, and copy number alteration data were extracted from TCGA and examined in the context of pSTAT3(Y705) protein expression.从表达量的相关性找到了1279 相关genes

  • A Seven-microRNA Expression Signature Predicts Survival in Hepatocellular Carcinoma 

TCGA,2015 PLOS ONE 

从题目就知道他们做了什么分析:In this study, the miRNA profiles in 327 HCC patients, including 327 tumor and 43 adjacent non-tumor tissues, from The Cancer Genome Atlas (TCGA) Liver hepatocellular carcinoma (LIHC) were analyzed.里面找到了差异的miRNA(Differentially expressed miRNAs (DEmiRNA) ),然后用了miRNA pathway analysis工具miRPath做了功能分析而已。当然,生存分析也必不可少啦。

  • Integrative Subtype Discovery in Glioblastoma Using iCluster 

TCGA,2012 PLOS ONE 

这个稍微有点不同,作者用自己的2009年发表的iCluster工具来灌水,下载了TCGA glioblastoma (GBM)的3种数据,iCluster was applied using 1,599 copy number features, 1,515 DNA methylation features, and 1,740 expression features。用iCluster把GBM分成了3个亚型。还跟前人单纯的用表达数据,或者甲基化数据的分类做了比较,还跟PCA比较,必须是自己的好呀

  • Integrated Multiple “-omics” Data Reveal Subtypes of Hepatocellular Carcinoma 

TCGA,2016 PLOS ONE 

用的是公共数据,用了多种数据来把样本分类,自己开发了一个简单粗糙的分类方法而已。


三是补充一点简单的实验,用TCGA数据做佐证而已。


WNT7A Regulation by miR-15b in Ovarian Cancer(2016 PLOS ONE)

miR-342 Regulates BRCA1 Expression through Modulation of ID4 in Breast Cancer( 2014 PLOS ONE)

Expression and Prognostic Value of Oct-4 in Astrocytic Brain Tumors(2016 PLOS ONE)

https://www.biomedcentral.com/search?query=TCGA

http://journals.plos.org/plosone/search?filterJournals=PLoSONE&q=tcga

http://www.nature.com/search?journal=srep&q=tcga

http://www.impactjournals.com/oncotarget/index.php?journal=oncotarget&page=search&op=advanced

本站仅提供存储服务,所有内容均由用户发布,如发现有害或侵权内容,请点击举报
打开APP,阅读全文并永久保存 查看更多类似文章
猜你喜欢
类似文章
指定癌症查看感兴趣基因的表达量
初步认识TCGA – 生信笔记
TF-miRNA-mRNA网络分析,miRNA差异表达分析-锐博生物(ribobio)
体内转染试剂(Entranster)文献2
一篇多芯片生信分析(meta)
没钱没时间照样发文章,纯生信分析套路了解一下
更多类似文章 >>
生活服务
热点新闻
分享 收藏 导长图 关注 下载文章
绑定账号成功
后续可登录账号畅享VIP特权!
如果VIP功能使用有故障,
可点击这里联系客服!

联系客服