Literature DB >> 25264191

Identification of reference miRNAs in human tumors by TCGA miRNA-seq data.

Cheng Zhan1, Li Yan2, Lin Wang1, Wei Jiang1, Yongxing Zhang1, Junjie Xi1, Li Chen1, Yulin Jin1, Yulei Qiao3, Yu Shi4, Qun Wang1.   

Abstract

Although the accuracy of detecting the expression of miRNAs by quantitative real-time polymerase chain reaction (qRT-PCR) is highly dependent on reliable reference miRNAs, many commonly used reference miRNAs are not stably expressed and as such are not suitable for quantification and normalization of qRT-PCR data. To solve this problem, we analyzed the global expression profiles of thousands of samples in 14 types of common human tumors released by The Cancer Genome Atlas (TCGA), and identified the most stably and highly expressed miRNAs as candidate reference miRNAs in each type of tumor. We found that miR-361-5p and let-7i-5p were the most recommended candidate reference miRNAs in nine and eight types of tumors, respectively, followed by let-7a-5p, mir-28-5p and miR-99b-5p. Our results are of important value to those researchers focused on miRNA; however, these candidate reference miRNAs still need to be validated prior to their use in qRT-PCR studies.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Reference miRNA; TCGA; miRNA-seq

Mesh:

Substances:

Year:  2014        PMID: 25264191     DOI: 10.1016/j.bbrc.2014.09.086

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  11 in total

1.  Expression of miRNA-155, miRNA-223, miRNA-31, miRNA-21, miRNA-125b, and miRNA-146a in the Inflammatory Pathway of Hidradenitis Suppurativa.

Authors:  S Hessam; M Sand; M Skrygan; T Gambichler; F G Bechara
Journal:  Inflammation       Date:  2017-04       Impact factor: 4.092

2.  Comparison of miRNA expression profiles in pituitary-adrenal axis between Beagle and Chinese Field dogs after chronic stress exposure.

Authors:  Wei Luo; Meixia Fang; Haiping Xu; Huijie Xing; Jiangnan Fu; Qinghua Nie
Journal:  PeerJ       Date:  2016-02-18       Impact factor: 2.984

3.  Positive expression of miR-361-5p indicates better prognosis for breast cancer patients.

Authors:  Zhi-Gang Cao; Yan-Ni Huang; Ling Yao; Yi-Rong Liu; Xin Hu; Yi-Feng Hou; Zhi-Min Shao
Journal:  J Thorac Dis       Date:  2016-07       Impact factor: 2.895

4.  Identification of suitable reference microRNA for qPCR analysis in pediatric inflammatory bowel disease.

Authors:  Christie Buonpane; Guillermo Ares; Beshoy Benyamen; Carrie Yuan; Catherine J Hunter
Journal:  Physiol Genomics       Date:  2019-04-12       Impact factor: 3.107

5.  Identification of reference genes and miRNAs for qRT-PCR in human esophageal squamous cell carcinoma.

Authors:  Li Chen; Yulin Jin; Lin Wang; Fenghao Sun; Xiaodong Yang; Mengkun Shi; Cheng Zhan; Yu Shi; Qun Wang
Journal:  Med Oncol       Date:  2016-11-26       Impact factor: 3.064

6.  Computational identification and analysis of early diagnostic biomarkers for kidney cancer.

Authors:  Tang Tang; Xiaoyan Du; Xiaoyi Zhang; Wenling Niu; Chunhua Li; Jianjun Tan
Journal:  J Hum Genet       Date:  2019-07-26       Impact factor: 3.172

Review 7.  miRNAs as drivers of TMPRSS2-ERG negative prostate tumors in African American men.

Authors:  Clayton Yates; Mark D Long; Moray J Campbell; Lara Sucheston-Campbell
Journal:  Front Biosci (Landmark Ed)       Date:  2017-01-01

8.  miR-361-5p as a promising qRT-PCR internal control for tumor and normal breast tissues.

Authors:  Sogol Ghanbari; Adel Salimi; Saeid Rahmani; Nahid Nafissi; Ali Sharifi-Zarchi; Seyed Javad Mowla
Journal:  PLoS One       Date:  2021-06-08       Impact factor: 3.240

9.  MicroRNA Changes in Firefighters.

Authors:  Kyoung Sook Jeong; Jin Zhou; Stephanie C Griffin; Elizabeth T Jacobs; Devi Dearmon-Moore; Jing Zhai; Sally R Littau; John Gulotta; Paul Moore; Wayne F Peate; Crystal M Richt; Jefferey L Burgess
Journal:  J Occup Environ Med       Date:  2018-05       Impact factor: 2.162

10.  Expression profile analysis of head and neck squamous cell carcinomas using data from The Cancer Genome Atlas.

Authors:  Li Yan; Cheng Zhan; Jihong Wu; Shengzi Wang
Journal:  Mol Med Rep       Date:  2016-03-28       Impact factor: 2.952

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