• DocumentCode
    2687967
  • Title

    Digging in the RNA-seq Garbage: Evaluating the Characteristics of Unmapped RNA-seq Reads in Normal Tissues

  • Author

    Carrara, Matteo ; Cavallo, Federica ; Arigoni, Maddalena ; Calogero, Raffaele A.

  • Author_Institution
    Mol. Biotechnol. Center, Univ. of Torino, Torino, Italy
  • fYear
    2012
  • fDate
    4-6 July 2012
  • Firstpage
    588
  • Lastpage
    591
  • Abstract
    RNA-seq has the potential to discover genes created by complex chromosomal rearrangements. ´Fusion´ genes formed by the breakage and re-joining of two different chromosomes have repeatedly been implicated in the development of cancer. However, although RNA-seq can detect these fusion events, normal cells are also characterized by read-through fusions across adjacent genes in the genome, or by transcription-induced chimeras (TICs). In this paper, we detected TICs events in normal tissue samples. The information derived from our analysis indicates the presence of a significant number of TICs in normal tissues. Some of these TICs can be associated with cancer development. In some cases TIC expression is corroborated by a large number of reads and their expression is significantly spread over different tissues. Our data highlight that TICs could be erroneously associated with cancer aberrations if RNA-seq analysis is only evaluated in tumor samples without considering the parallel analysis of normal tissue samples associated with the tumor.
  • Keywords
    RNA; biological techniques; biological tissues; cancer; cellular biophysics; genetics; genomics; molecular biophysics; tumours; RNA-seq garbage digging; biological tissues; cancer aberrations; chromosomes; complex chromosomal rearrangements; fusion genes; genome; normal cells; read-through fusions; transcription-induced chimeras; tumor; Bioinformatics; Cancer; Colon; Educational institutions; Genomics; Humans; Proteins; fusion transcript; next generation sequencing; normal tissue; transplicing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    978-1-4673-1233-2
  • Type

    conf

  • DOI
    10.1109/CISIS.2012.107
  • Filename
    6245632