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Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle

Author

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  • Lucia Coscujuela Tarrero

    (Istituto Italiano di Tecnologia (IIT))

  • Valeria Famà

    (Istituto Italiano di Tecnologia (IIT)
    University of Milan)

  • Giacomo D’Andrea

    (Istituto Nazionale Genetica Molecolare “Romeo ed Enrica Invernizzi”
    University of Milan)

  • Simone Maestri

    (Istituto Italiano di Tecnologia (IIT))

  • Anna Polo

    (Istituto Italiano di Tecnologia (IIT))

  • Stefano Biffo

    (Istituto Nazionale Genetica Molecolare “Romeo ed Enrica Invernizzi”
    University of Milan)

  • Mattia Furlan

    (Istituto Italiano di Tecnologia (IIT))

  • Mattia Pelizzola

    (Istituto Italiano di Tecnologia (IIT)
    University of Milano-Bicocca)

Abstract

The coordinated action of transcriptional and post-transcriptional machineries shapes gene expression programs at steady state and determines their concerted response to perturbations. We have developed Nanodynamo, an experimental and computational workflow for quantifying the kinetic rates of nuclear and cytoplasmic steps of the RNA life cycle. Nanodynamo is based on mathematical modelling following sequencing of native RNA from cellular fractions and polysomes. We have applied this workflow to triple-negative breast cancer cells, revealing widespread post-transcriptional RNA processing that is mutually exclusive with its co-transcriptional counterpart. We used Nanodynamo to unravel the coupling between transcription, processing, export, decay and translation machineries. We have identified a number of coupling interactions within and between the nucleus and cytoplasm that largely contribute to coordinating how cells respond to perturbations that affect gene expression programs. Nanodynamo will be instrumental in unravelling the determinants and regulatory processes involved in the coordination of gene expression responses.

Suggested Citation

  • Lucia Coscujuela Tarrero & Valeria Famà & Giacomo D’Andrea & Simone Maestri & Anna Polo & Stefano Biffo & Mattia Furlan & Mattia Pelizzola, 2024. "Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51917-2
    DOI: 10.1038/s41467-024-51917-2
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    1. Cyrille Girard & Cindy L. Will & Jianhe Peng & Evgeny M. Makarov & Berthold Kastner & Ira Lemm & Henning Urlaub & Klaus Hartmuth & Reinhard Lührmann, 2012. "Post-transcriptional spliceosomes are retained in nuclear speckles until splicing completion," Nature Communications, Nature, vol. 3(1), pages 1-12, January.
    2. Tom Maniatis & Robin Reed, 2002. "An extensive network of coupling among gene expression machines," Nature, Nature, vol. 416(6880), pages 499-506, April.
    3. Michael Lawrence & Wolfgang Huber & Hervé Pagès & Patrick Aboyoun & Marc Carlson & Robert Gentleman & Martin T Morgan & Vincent J Carey, 2013. "Software for Computing and Annotating Genomic Ranges," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-10, August.
    4. Soetaert, Karline & Petzoldt, Thomas & Setzer, R. Woodrow, 2010. "Solving Differential Equations in R: Package deSolve," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i09).
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