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

View ORCID ProfileBilena L B Almeida, View ORCID ProfileMohamed N M Bahrudeen, View ORCID ProfileVatsala Chauhan, View ORCID ProfileSuchintak Dash, View ORCID ProfileVinodh Kandavalli, View ORCID ProfileAntti Häkkinen, View ORCID ProfileJason Lloyd-Price, View ORCID ProfileCristina S D Palma, View ORCID ProfileInes S C Baptista, View ORCID ProfileAbhishekh Gupta, View ORCID ProfileJuha Kesseli, View ORCID ProfileEric Dufour, View ORCID ProfileOlli-Pekka Smolander, View ORCID ProfileMatti Nykter, View ORCID ProfilePetri Auvinen, View ORCID ProfileHoward T Jacobs, View ORCID ProfileSamuel M D Oliveira, View ORCID ProfileAndre S Ribeiro
doi: https://doi.org/10.1101/2022.03.07.483226
Bilena L B Almeida
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Mohamed N M Bahrudeen
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Vatsala Chauhan
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Suchintak Dash
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Vinodh Kandavalli
2Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
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Antti Häkkinen
3Research Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, FI-00014 Helsinki, Finland
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Jason Lloyd-Price
4Google LLC, 111 8th Ave, New York, NY 10010, USA
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Cristina S D Palma
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Ines S C Baptista
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Abhishekh Gupta
5Center for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, 263 Farmington Av., Farmington, CT 06030-6033, USA
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Juha Kesseli
6Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Tays Cancer Center, Tampere University Hospital, Tampere, Finland
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Eric Dufour
7Mitochondrial bioenergetics and metabolism, BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
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Olli-Pekka Smolander
8Department of Chemistry and Biotechnology, Tallinn University of Technology, Tallinn, Estonia
9Institute of Biotechnology, University of Helsinki, Viikinkaari 5D, 00790 Helsinki, Finland
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Matti Nykter
6Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Tays Cancer Center, Tampere University Hospital, Tampere, Finland
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Petri Auvinen
9Institute of Biotechnology, University of Helsinki, Viikinkaari 5D, 00790 Helsinki, Finland
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Howard T Jacobs
10Faculty of Medicine and Health Technology, FI-33014 Tampere University, Finland
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Samuel M D Oliveira
11Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA
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Andre S Ribeiro
1Laboratory of Biosystem Dynamics, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
12Center of Technology and Systems (CTS-Uninova), NOVA University of Lisbon, 2829-516 Monte de Caparica, Portugal
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  • For correspondence: andre.sanchesribeiro@tuni.fi
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ABSTRACT

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.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted March 08, 2022.
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The transcription factor network of E. coli steers global responses to shifts in RNAP concentration
Bilena L B Almeida, Mohamed N M Bahrudeen, Vatsala Chauhan, Suchintak Dash, Vinodh Kandavalli, Antti Häkkinen, Jason Lloyd-Price, Cristina S D Palma, Ines S C Baptista, Abhishekh Gupta, Juha Kesseli, Eric Dufour, Olli-Pekka Smolander, Matti Nykter, Petri Auvinen, Howard T Jacobs, Samuel M D Oliveira, Andre S Ribeiro
bioRxiv 2022.03.07.483226; doi: https://doi.org/10.1101/2022.03.07.483226
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The transcription factor network of E. coli steers global responses to shifts in RNAP concentration
Bilena L B Almeida, Mohamed N M Bahrudeen, Vatsala Chauhan, Suchintak Dash, Vinodh Kandavalli, Antti Häkkinen, Jason Lloyd-Price, Cristina S D Palma, Ines S C Baptista, Abhishekh Gupta, Juha Kesseli, Eric Dufour, Olli-Pekka Smolander, Matti Nykter, Petri Auvinen, Howard T Jacobs, Samuel M D Oliveira, Andre S Ribeiro
bioRxiv 2022.03.07.483226; doi: https://doi.org/10.1101/2022.03.07.483226

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