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Genomic encoding of transcriptional burst kinetics

Author

Listed:
  • Anton J. M. Larsson

    (Karolinska Institutet)

  • Per Johnsson

    (Karolinska Institutet
    Ludwig Institute for Cancer Research)

  • Michael Hagemann-Jensen

    (Karolinska Institutet)

  • Leonard Hartmanis

    (Karolinska Institutet)

  • Omid R. Faridani

    (Karolinska Institutet
    Karolinska Institutet)

  • Björn Reinius

    (Karolinska Institutet
    Ludwig Institute for Cancer Research
    Karolinska Institutet)

  • Åsa Segerstolpe

    (Karolinska Institutet
    Karolinska Institutet
    Broad Institute of MIT and Harvard)

  • Chloe M. Rivera

    (Ludwig Institute for Cancer Research
    University of California, San Diego School of Medicine)

  • Bing Ren

    (Ludwig Institute for Cancer Research
    University of California, San Diego School of Medicine)

  • Rickard Sandberg

    (Karolinska Institutet
    Ludwig Institute for Cancer Research
    Karolinska Institutet)

Abstract

Mammalian gene expression is inherently stochastic1,2, and results in discrete bursts of RNA molecules that are synthesized from each allele3–7. Although transcription is known to be regulated by promoters and enhancers, it is unclear how cis-regulatory sequences encode transcriptional burst kinetics. Characterization of transcriptional bursting, including the burst size and frequency, has mainly relied on live-cell4,6,8 or single-molecule RNA fluorescence in situ hybridization3,5,8,9 recordings of selected loci. Here we determine transcriptome-wide burst frequencies and sizes for endogenous mouse and human genes using allele-sensitive single-cell RNA sequencing. We show that core promoter elements affect burst size and uncover synergistic effects between TATA and initiator elements, which were masked at mean expression levels. Notably, we provide transcriptome-wide evidence that enhancers control burst frequencies, and demonstrate that cell-type-specific gene expression is primarily shaped by changes in burst frequencies. Together, our data show that burst frequency is primarily encoded in enhancers and burst size in core promoters, and that allelic single-cell RNA sequencing is a powerful model for investigating transcriptional kinetics.

Suggested Citation

  • Anton J. M. Larsson & Per Johnsson & Michael Hagemann-Jensen & Leonard Hartmanis & Omid R. Faridani & Björn Reinius & Åsa Segerstolpe & Chloe M. Rivera & Bing Ren & Rickard Sandberg, 2019. "Genomic encoding of transcriptional burst kinetics," Nature, Nature, vol. 565(7738), pages 251-254, January.
  • Handle: RePEc:nat:nature:v:565:y:2019:i:7738:d:10.1038_s41586-018-0836-1
    DOI: 10.1038/s41586-018-0836-1
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    Cited by:

    1. Anton J M Larsson & Christoph Ziegenhain & Michael Hagemann-Jensen & Björn Reinius & Tina Jacob & Tim Dalessandri & Gert-Jan Hendriks & Maria Kasper & Rickard Sandberg, 2021. "Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance," PLOS Computational Biology, Public Library of Science, vol. 17(3), pages 1-16, March.
    2. Angelina Gurunathan & Ravichandran Moorthy, 2021. "Riding the Indo-Pacific Wave: India–ASEAN Partnership Sans RCEP," India Quarterly: A Journal of International Affairs, , vol. 77(4), pages 560-578, December.

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