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Contribution of RNA polymerase concentration variation to protein expression noise

Author

Listed:
  • Sora Yang

    (Pohang University of Science and Technology)

  • Seunghyeon Kim

    (Pohang University of Science and Technology)

  • Yu Rim Lim

    (Chung-Ang University)

  • Cheolhee Kim

    (Pohang University of Science and Technology)

  • Hyeong Jeon An

    (Pohang University of Science and Technology)

  • Ji-Hyun Kim

    (Chung-Ang University)

  • Jaeyoung Sung

    (Chung-Ang University)

  • Nam Ki Lee

    (Pohang University of Science and Technology
    School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology)

Abstract

Cell-to-cell variation in gene expression, or noise, is a general phenomenon observed within cell populations. Transcription is known to be the key stage of gene expression where noise is generated, however, how variation in RNA polymerase (RNAP) concentration contributes to gene expression noise is unclear. Here, we quantitatively investigate how variations in absolute amounts of RNAP molecules affect noise in the expression of two fluorescent protein reporters driven by identical promoters. We find that intrinsic noise is independent of variation in RNAP concentrations, whereas extrinsic noise, which is variation in gene expression due to varying cellular environments, scales linearly with variation in RNAP abundance. Specifically, the propagation of RNAP abundance variation to expressed protein noise is inversely proportional to the concentration of RNAP, which suggests that the change in noise that results from RNAP fluctuations is determined by the fraction of promoters that is not occupied by RNAP.

Suggested Citation

  • Sora Yang & Seunghyeon Kim & Yu Rim Lim & Cheolhee Kim & Hyeong Jeon An & Ji-Hyun Kim & Jaeyoung Sung & Nam Ki Lee, 2014. "Contribution of RNA polymerase concentration variation to protein expression noise," Nature Communications, Nature, vol. 5(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5761
    DOI: 10.1038/ncomms5761
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    Cited by:

    1. Fu Audrey Qiuyan & Pachter Lior, 2016. "Estimating intrinsic and extrinsic noise from single-cell gene expression measurements," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 15(6), pages 447-471, December.

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