The transcription factor network of E. coli steers global responses to shifts in RNAP concentration

  • Bilena Lima De Brito Almeida (Creator)
  • Mohamed Mohamed Bahrudeen (Creator)
  • Vatsala Chauhan (Creator)
  • Suchintak Dash (Creator)
  • Vinodh Kandavalli (Creator)
  • Antti Häkkinen (Creator)
  • Jason Lloyd-Price (Creator)
  • Cristina Santos Dias Palma (Creator)
  • Ines Calado Baptista (Creator)
  • Abhishekh Gupta (Creator)
  • Juha Kesseli (Creator)
  • Eric Dufour (Creator)
  • Olli-Pekka Smolander (Creator)
  • Matti Nykter (Creator)
  • Petri Auvinen (Creator)
  • Howard Jacobs (Creator)
  • Samuel M.D. Oliveira (Creator)
  • Andre Sanches Ribeiro (Creator)

    Dataset

    Description

    The robustness and sensitivity of gene networks to environmental changes is critical for cell survival. How gene networks produce specific, chronologically ordered responses to genome-wide perturbations, while robustly maintaining homeostasis, remains an open question. We analysed if short- and mid-term genome-wide responses to shifts in RNA polymerase (RNAP) concentration are influenced by the known topology and logic of the transcription factor network (TFN) of Escherichia coli. We found that, at the gene cohort level, the magnitude of the single-gene, mid-term transcriptional responses to changes in RNAP concentration can be explained by the absolute difference between the gene’s numbers of activating and repressing input transcription factors (TFs). Interestingly, this difference is strongly positively correlated with the number of input TFs of the gene. Meanwhile, short-term responses showed only weak influence from the TFN. Our results suggest that the global topological traits of the TFN of E. coli shape which gene cohorts respond to genome-wide stresses.
    Date made available15 Jul 2022
    PublisherDryad

    Funding

    FundersFunder number
    Jane and Aatos Erkko Foundation10-10524-38
    Finnish Cultural Foundation50201300
    Finnish Cultural Foundation00200193
    Finnish Cultural Foundation00212591
    EDUFI Fellowship*TM-19-11105
    Finnish Academy of Science and Letters
    Tampere University
    TTU development program 2016–2022*2014-2020.4.01.16-0032
    Academy of Finland307856
    Academy of Finland323576
    Academy of Finland322927
    Academy of Finland272376
    Academy of Finland256615

      Field of science, Statistics Finland

      • 3111 Biomedicine

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