Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing

Jia Qian Wu, David Shteynberg, Manimozhiyan Arumugam, Richard A Gibbs, Michael R Brent

    30 Citations (Scopus)

    Abstract

    The publication of a draft sequence of a third mammalian genome--that of the rat--suggests a need to rethink genome annotation. New mammalian sequences will not receive the kind of labor-intensive annotation efforts that are currently being devoted to human. In this paper, we demonstrate an alternative approach: reverse transcription-polymerase chain reaction (RT-PCR) and direct sequencing based on dual-genome de novo predictions from TWINSCAN. We tested 444 TWINSCAN-predicted rat genes that showed significant homology to known human genes implicated in disease but that were partially or completely missed by methods based on protein-to-genome mapping. Using primers in exons flanking a single predicted intron, we were able to verify the existence of 59% of these predicted genes. We then attempted to amplify the complete predicted open reading frames of 136 genes that were verified in the single-intron experiment. Spliced sequences were amplified in 46 cases (34%). We conclude that this procedure for elucidating gene structures with native cDNA sequences is cost-effective and will become even more so as it is further optimized.
    Original languageEnglish
    JournalGenome Research
    Volume14
    Issue number4
    Pages (from-to)665-71
    Number of pages7
    ISSN1088-9051
    DOIs
    Publication statusPublished - 2004

    Keywords

    • Animals
    • Computational Biology
    • Genes
    • Humans
    • Introns
    • Open Reading Frames
    • Predictive Value of Tests
    • Rats
    • Reverse Transcriptase Polymerase Chain Reaction
    • Sequence Analysis, DNA
    • Software
    • Untranslated Regions

    Fingerprint

    Dive into the research topics of 'Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing'. Together they form a unique fingerprint.

    Cite this