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Updated: Jan 20, 2026

A User-friendly and Powerful R Analysis of Large-scale Datasets
Published on: November 4, 2025
tRic: a user-friendly data portal to explore the expression landscape of tRNAs in human cancers
Zhao Zhang1, Hang Ruan1, Chun-Jie Liu2
1Department of Biochemistry and Molecular Biology, McGovern Medical School at The University of Texas Health Science Center at Houston , Houston, TX, USA.
Abstract:
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, https://hanlab.uth.edu/tRic/ or http://bioinfo.life.hust.edu.cn/tRic/), which can be of significant interest to the research community.
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