Literature DB >> 35748858

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

Bilena L B Almeida1, Mohamed N M Bahrudeen1, Vatsala Chauhan1, Suchintak Dash1, Vinodh Kandavalli2, Antti Häkkinen3, Jason Lloyd-Price4, Palma S D Cristina1, Ines S C Baptista1, Abhishekh Gupta5, Juha Kesseli6, Eric Dufour7, Olli-Pekka Smolander8,9, Matti Nykter6, Petri Auvinen9, Howard T Jacobs10, Samuel M D Oliveira11, Andre S Ribeiro1,12.   

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.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2022        PMID: 35748858      PMCID: PMC9262627          DOI: 10.1093/nar/gkac540

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   19.160


  79 in total

1.  Dissecting the functional program of Escherichia coli promoters: the combined mode of action of Lac repressor and AraC activator.

Authors:  R Lutz; T Lozinski; T Ellinger; H Bujard
Journal:  Nucleic Acids Res       Date:  2001-09-15       Impact factor: 16.971

Review 2.  Multiple sigma subunits and the partitioning of bacterial transcription space.

Authors:  Tanja M Gruber; Carol A Gross
Journal:  Annu Rev Microbiol       Date:  2003       Impact factor: 15.500

3.  Non-genetic heterogeneity from stochastic partitioning at cell division.

Authors:  Dann Huh; Johan Paulsson
Journal:  Nat Genet       Date:  2010-12-26       Impact factor: 38.330

4.  Mutual information in random Boolean models of regulatory networks.

Authors:  Andre S Ribeiro; Stuart A Kauffman; Jason Lloyd-Price; Björn Samuelsson; Joshua E S Socolar
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-01-03

Review 5.  RNA polymerase-promoter interactions: the comings and goings of RNA polymerase.

Authors:  P L deHaseth; M L Zupancic; M T Record
Journal:  J Bacteriol       Date:  1998-06       Impact factor: 3.490

Review 6.  Regulatory mechanisms and networks couple the different phases of gene expression.

Authors:  Orna Dahan; Hila Gingold; Yitzhak Pilpel
Journal:  Trends Genet       Date:  2011-07-15       Impact factor: 11.639

7.  Sequence-dependent model of genes with dual σ factor preference.

Authors:  Ines S C Baptista; Vinodh Kandavalli; Vatsala Chauhan; Mohamed N M Bahrudeen; Bilena L B Almeida; Cristina S D Palma; Suchintak Dash; Andre S Ribeiro
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2022-03-22       Impact factor: 4.490

8.  High variation of fluorescence protein maturation times in closely related Escherichia coli strains.

Authors:  Elke Hebisch; Johannes Knebel; Janek Landsberg; Erwin Frey; Madeleine Leisner
Journal:  PLoS One       Date:  2013-10-14       Impact factor: 3.240

9.  Systematic characterization of maturation time of fluorescent proteins in living cells.

Authors:  Enrique Balleza; J Mark Kim; Philippe Cluzel
Journal:  Nat Methods       Date:  2017-11-20       Impact factor: 28.547

10.  Shared control of gene expression in bacteria by transcription factors and global physiology of the cell.

Authors:  Sara Berthoumieux; Hidde de Jong; Guillaume Baptist; Corinne Pinel; Caroline Ranquet; Delphine Ropers; Johannes Geiselmann
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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