Identification of tissue-enriched novel transcripts and novel exons in mice

BMC Genomics. 2014 Jul 13;15(1):592. doi: 10.1186/1471-2164-15-592.

Abstract

Background: RNA sequencing (RNA-seq) has revolutionized the detection of transcriptomic signatures due to its high-throughput sequencing ability. Therefore, genomic annotations on different animal species have been rapidly updated using information from tissue-enriched novel transcripts and novel exons.

Results: 34 putative novel transcripts and 236 putative tissue-enriched exons were identified using RNA-Seq datasets representing six tissues available in mouse databases. RT-PCR results indicated that expression of 21 and 2 novel transcripts were enriched in testes and liver, respectively, while 31 of the 39 selected novel exons were detected in the testes or heart. The novel isoforms containing the identified novel exons exhibited more dominant expression than the known isoforms in heart and testes. We also identified an example of pathology-associated exclusion of heart-enriched novel exons such as Sorbs1 and Cluh during pressure-overload cardiac hypertrophy.

Conclusion: The present study depicted tissue-enriched novel transcripts, a tissue-specific isoform switch, and pathology-associated alternative splicing in a mouse model, suggesting tissue-specific genomic diversity and plasticity.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alternative Splicing
  • Animals
  • Cardiomegaly / genetics
  • Cardiomegaly / metabolism
  • Cardiomegaly / pathology
  • Exons
  • High-Throughput Nucleotide Sequencing
  • Liver / metabolism*
  • Male
  • Mice
  • Microfilament Proteins / genetics
  • Microfilament Proteins / metabolism
  • Myocardium / metabolism*
  • Protein Isoforms / genetics
  • Protein Isoforms / metabolism
  • RNA / chemistry
  • RNA / genetics
  • RNA / metabolism*
  • Sequence Analysis, RNA
  • Testis / metabolism*
  • Transcriptome

Substances

  • Microfilament Proteins
  • Protein Isoforms
  • ponsin
  • RNA

Associated data

  • GEO/GSE30352