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Genetic analysis of variation in transcription factor binding in yeast

Author

Listed:
  • Wei Zheng

    (Cellular and Developmental Biology, Yale University
    Present address: Biostatics Resources, Keck Laboratory, Yale University, New Haven, Connecticut 06520, USA.)

  • Hongyu Zhao

    (Program in Computational Biology and Bioinformatics, Yale University,
    Yale University School of Medicine, New Haven, Connecticut 06520, USA)

  • Eugenio Mancera

    (Genome Biology Unit, European Molecular Biology Laboratory)

  • Lars M. Steinmetz

    (Genome Biology Unit, European Molecular Biology Laboratory)

  • Michael Snyder

    (Cellular and Developmental Biology, Yale University
    Stanford University School of Medicine, Stanford, California 94305, USA)

Abstract

Gene regulation examined Many, possibly most phenotypic differences among individuals arise from differences in gene expression and the underlying transcriptional regulation. Zheng et al. studied the variability of transcription factor binding among individuals on a genome-wide scale, using transcription-binding variability as a genetic trait for QTL (quantitative trait locus) mapping. Taking a well-known yeast transcription factor in the yeast pheromone pathway as an example, they mapped the underlying loci responsible for variation. The study revealed novel insights into mechanisms of gene regulation as well as new regulators of the pheromone pathway in yeast.

Suggested Citation

  • Wei Zheng & Hongyu Zhao & Eugenio Mancera & Lars M. Steinmetz & Michael Snyder, 2010. "Genetic analysis of variation in transcription factor binding in yeast," Nature, Nature, vol. 464(7292), pages 1187-1191, April.
    • Handle: RePEc:nat:nature:v:464:y:2010:i:7292:d:10.1038_nature08934
    DOI: 10.1038/nature08934
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    Cited by:

    1. Mathilde Paris & Tommy Kaplan & Xiao Yong Li & Jacqueline E Villalta & Susan E Lott & Michael B Eisen, 2013. "Extensive Divergence of Transcription Factor Binding in Drosophila Embryos with Highly Conserved Gene Expression," PLOS Genetics, Public Library of Science, vol. 9(9), pages 1-18, September.
    2. Zheng Wei & Zhao Hongyu, 2013. "Studying the evolution of transcription factor binding events using multi-species ChIP-Seq data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(1), pages 1-15, March.

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