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tRFUniverse: A comprehensive resource for the interactive analyses of tRNA-derived ncRNAs in human cancer

Alessandro La Ferlita1, Salvatore Alaimo2, Giovanni Nigita1

  • 1Department of Cancer Biology and Genetics, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.

Iscience
|February 2, 2024
PubMed

Insights

tRNA-derived ncRNAs regulate gene expression and are implicated in cancer. The new tRFUniverse resource offers comprehensive analysis of these non-coding RNAs in human cancers, aiding research.

Area of Science:

  • Molecular Biology
  • Genomics
  • Cancer Research

Background:

  • tRNA-derived non-coding RNAs (ncRNAs) are emerging regulators of gene expression.
  • These ncRNAs are increasingly linked to various diseases, notably cancer.
  • Existing online resources for tRNA-derived ncRNAs lack comprehensive analytical features.

Purpose of the Study:

  • To introduce tRFUniverse, a novel online resource for analyzing tRNA-derived ncRNAs in human cancer.
  • To provide an extensive collection of tRNA-derived ncRNAs across diverse cancer datasets.
  • To integrate molecular interaction data for a deeper understanding of their role in cancer.

Main Methods:

  • Analysis of tRNA-derived ncRNAs across TCGA and TARGET tumor cohorts, NCI-60 cell lines, and biological fluids.
  • Utilized public AGO CLASH/CLIP-Seq data to identify RNA-RNA interactions.
  • Integrated diverse datasets into a unified online platform.

Main Results:

  • tRFUniverse provides a comprehensive catalog of tRNA-derived ncRNAs in human cancers.
  • The resource includes analyses across multiple cancer types and sample sources.
  • Identified molecular interactions involving tRNA-derived ncRNAs through integrated omics data.

Conclusions:

  • tRFUniverse offers a valuable, integrated platform for cancer research.
  • Facilitates investigation into the role of tRNA-derived ncRNAs in cancer biology.
  • Enhances the study of non-coding RNA functions in oncogenesis.
Keywords:
BioinformaticsCancerNucleic acidsTranscriptomics

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