The landscape of chimeric RNAs in non-diseased tissues and cells

Sandeep Singh1, Fujun Qin1, Shailesh Kumar2

  • 1Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.

Nucleic Acids Research
|January 23, 2020
PubMed

Insights

Chimeric RNAs are found in healthy human tissues, not just cancer. This study maps these RNAs in normal tissues, providing a crucial control dataset for cancer research.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Chimeric RNAs were traditionally linked to cancer, serving as biomarkers and therapeutic targets.
  • Recent findings suggest chimeric RNAs also occur in non-cancerous cells, but large-scale studies are limited.

Purpose of the Study:

  • To comprehensively map the landscape of chimeric RNAs in diverse non-diseased human tissues.
  • To develop classification methods for chimeric RNAs and assess their functional relevance.
  • To establish a control dataset for distinguishing cancer-specific chimeric RNAs.

Main Methods:

  • Analysis of 9,495 non-diseased human tissue samples from the Genotype-Tissue Expression (GTEx) project.
  • Development and application of classification criteria for chimeric RNAs.
  • Experimental validation of selected chimeric RNAs and assessment of their functional roles.

Main Results:

  • Identification and cataloging of chimeric RNAs across 53 different non-diseased human tissues.
  • Observed enrichment of specific chimeric RNA classifications under stringent filtering.
  • Experimental validation confirmed the presence and functional relevance of certain chimeric RNAs in non-cancerous cells.
  • Overlap noted between identified non-diseased chimeric RNAs and entries in cancer fusion databases.

Conclusions:

  • Chimeric RNAs are present in a wide range of non-diseased human tissues.
  • The established classification system aids in characterizing chimeric RNAs.
  • This dataset serves as a vital control resource to improve the accuracy of identifying cancer-specific chimeric RNAs and reassess existing cancer gene annotations.