Literature DB >> 33284110

Gene regulation gravitates towards either addition or multiplication when combining the effects of two signals.

Eric M Sanford1, Benjamin L Emert1, Allison Coté1, Arjun Raj2.   

Abstract

Two different cell signals often affect transcription of the same gene. In such cases, it is natural to ask how the combined transcriptional response compares to the individual responses. The most commonly used mechanistic models predict additive or multiplicative combined responses, but a systematic genome-wide evaluation of these predictions is not available. Here, we analyzed the transcriptional response of human MCF-7 cells to retinoic acid and TGF-β, applied individually and in combination. The combined transcriptional responses of induced genes exhibited a range of behaviors, but clearly favored both additive and multiplicative outcomes. We performed paired chromatin accessibility measurements and found that increases in accessibility were largely additive. There was some association between super-additivity of accessibility and multiplicative or super-multiplicative combined transcriptional responses, while sub-additivity of accessibility associated with additive transcriptional responses. Our findings suggest that mechanistic models of combined transcriptional regulation must be able to reproduce a range of behaviors.
© 2020, Sanford et al.

Entities:  

Keywords:  chromosomes; computational biology; gene expression; human; systems biology

Year:  2020        PMID: 33284110     DOI: 10.7554/eLife.59388

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  4 in total

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Authors:  Daniel S Kim; Viviana I Risca; David L Reynolds; James Chappell; Adam J Rubin; Namyoung Jung; Laura K H Donohue; Vanessa Lopez-Pajares; Arwa Kathiria; Minyi Shi; Zhixin Zhao; Harsh Deep; Mahfuza Sharmin; Deepti Rao; Shin Lin; Howard Y Chang; Michael P Snyder; William J Greenleaf; Anshul Kundaje; Paul A Khavari
Journal:  Nat Genet       Date:  2021-10-14       Impact factor: 38.330

2.  Principles of Endocrine Regulation: Reconciling Tensions Between Robustness in Performance and Adaptation to Change.

Authors:  Rudolf Hoermann; Mark J Pekker; John E M Midgley; Rolf Larisch; Johannes W Dietrich
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-09       Impact factor: 6.055

3.  Artificial neural networks enable genome-scale simulations of intracellular signaling.

Authors:  Avlant Nilsson; Joshua M Peters; Nikolaos Meimetis; Bryan Bryson; Douglas A Lauffenburger
Journal:  Nat Commun       Date:  2022-06-02       Impact factor: 17.694

4.  Changes in chromatin accessibility are not concordant with transcriptional changes for single-factor perturbations.

Authors:  Karun Kiani; Eric M Sanford; Yogesh Goyal; Arjun Raj
Journal:  Mol Syst Biol       Date:  2022-09       Impact factor: 13.068

  4 in total

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