tRic: a user-friendly data portal to explore the expression landscape of tRNAs in human cancers

被引：18
|
作者：
Zhang, Zhao [1 ]
Ruan, Hang [1 ]
Liu, Chun-Jie [2 ]
Ye, Youqiong [1 ]
Gong, Jing [1 ]
Diao, Lixia [3 ]
Guo, An-Yuan [2 ]
Han, Leng [1 ,4 ]
机构：
[1] Univ Texas Hlth Sci Ctr Houston, Dept Biochem & Mol Biol, McGovern Med Sch, Houston, TX 77030 USA
[2] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Dept Bioinformat & Syst Biol,Minist Educ, Hubei Bioinformat & Mol Imaging Key Lab,Key Lab M, Wuhan 430074, Hubei, Peoples R China
[3] Univ Texas MD Anderson Canc Ctr, Dept Bioinformat & Computat Biol, Houston, TX 77030 USA
[4] Univ Texas Hlth Sci Ctr Houston, Ctr Precis Hlth, Sch Biomed Informat, Houston, TX 77030 USA
来源：
RNA BIOLOGY | 2020年 / 17卷 / 11期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
tRNA; codon; amino acid; cancer; codon usage; GENE-EXPRESSION; TRANSCRIPTION;
D O I：
10.1080/15476286.2019.1657744
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Transfer RNAs (tRNAs) play critical roles in human cancer. Currently, no database provides the expression landscape and clinical relevance of tRNAs across a variety of human cancers. Utilizing miRNA-seq data from The Cancer Genome Atlas, we quantified the relative expression of tRNA genes and merged them into the codon level and amino level across 31 cancer types. The expression of tRNAs is associated with clinical features of patient smoking history and overall survival, and disease stage, subtype, and grade. We further analysed codon frequency and amino acid frequency for each protein coding gene and linked alterations of tRNA expression with protein translational efficiency. We include these data resources in a user-friendly data portal, tRic (tRNA in cancer, or ), which can be of significant interest to the research community.
引用
收藏
页码：1674 / 1679
页数：6
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