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

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Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing. / Wu, Jia Qian; Shteynberg, David; Arumugam, Manimozhiyan; Gibbs, Richard A; Brent, Michael R.

In: Genome Research, Vol. 14, No. 4, 2004, p. 665-71.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wu, JQ, Shteynberg, D, Arumugam, M, Gibbs, RA & Brent, MR 2004, 'Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing', Genome Research, vol. 14, no. 4, pp. 665-71. https://doi.org/10.1101/gr.1959604

APA

Wu, J. Q., Shteynberg, D., Arumugam, M., Gibbs, R. A., & Brent, M. R. (2004). Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing. Genome Research, 14(4), 665-71. https://doi.org/10.1101/gr.1959604

Vancouver

Wu JQ, Shteynberg D, Arumugam M, Gibbs RA, Brent MR. Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing. Genome Research. 2004;14(4):665-71. https://doi.org/10.1101/gr.1959604

Author

Wu, Jia Qian ; Shteynberg, David ; Arumugam, Manimozhiyan ; Gibbs, Richard A ; Brent, Michael R. / Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing. In: Genome Research. 2004 ; Vol. 14, No. 4. pp. 665-71.

Bibtex

@article{670e80a90f604e2c9a9e167e9743ea13,
title = "Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing",
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.",
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",
author = "Wu, {Jia Qian} and David Shteynberg and Manimozhiyan Arumugam and Gibbs, {Richard A} and Brent, {Michael R}",
year = "2004",
doi = "10.1101/gr.1959604",
language = "English",
volume = "14",
pages = "665--71",
journal = "Genome Research",
issn = "1088-9051",
publisher = "Cold Spring Harbor Laboratory Press",
number = "4",

}

RIS

TY - JOUR

T1 - Identification of rat genes by TWINSCAN gene prediction, RT-PCR, and direct sequencing

AU - Wu, Jia Qian

AU - Shteynberg, David

AU - Arumugam, Manimozhiyan

AU - Gibbs, Richard A

AU - Brent, Michael R

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Animals

KW - Computational Biology

KW - Genes

KW - Humans

KW - Introns

KW - Open Reading Frames

KW - Predictive Value of Tests

KW - Rats

KW - Reverse Transcriptase Polymerase Chain Reaction

KW - Sequence Analysis, DNA

KW - Software

KW - Untranslated Regions

U2 - 10.1101/gr.1959604

DO - 10.1101/gr.1959604

M3 - Journal article

C2 - 15060008

VL - 14

SP - 665

EP - 671

JO - Genome Research

JF - Genome Research

SN - 1088-9051

IS - 4

ER -

ID: 43976150