Literature DB >> 33436569

Orthogonal control of mean and variability of endogenous genes in a human cell line.

Alain R Bonny1, João Pedro Fonseca1,2, Jesslyn E Park1, Hana El-Samad3,4.   

Abstract

Stochastic fluctuations at the transcriptional level contribute to isogenic cell-to-cell heterogeneity in mammalian cell populations. However, we still have no clear understanding of the repercussions of this heterogeneity, given the lack of tools to independently control mean expression and variability of a gene. Here, we engineer a synthetic circuit to modulate mean expression and heterogeneity of transgenes and endogenous human genes. The circuit, a Tunable Noise Rheostat (TuNR), consists of a transcriptional cascade of two inducible transcriptional activators, where the output mean and variance can be modulated by two orthogonal small molecule inputs. In this fashion, different combinations of the inputs can achieve the same mean but with different population variability. With TuNR, we achieve low basal expression, over 1000-fold expression of a transgene product, and up to 7-fold induction of the endogenous gene NGFR. Importantly, for the same mean expression level, we are able to establish varying degrees of heterogeneity in expression within an isogenic population, thereby decoupling gene expression noise from its mean. TuNR is therefore a modular tool that can be used in mammalian cells to enable direct interrogation of the implications of cell-to-cell variability.

Entities:  

Year:  2021        PMID: 33436569     DOI: 10.1038/s41467-020-20467-8

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  46 in total

1.  Noise in eukaryotic gene expression.

Authors:  William J Blake; Mads KAErn; Charles R Cantor; J J Collins
Journal:  Nature       Date:  2003-04-10       Impact factor: 49.962

2.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

3.  Gene expression noise facilitates adaptation and drug resistance independently of mutation.

Authors:  Daniel A Charlebois; Nezar Abdennur; Mads Kaern
Journal:  Phys Rev Lett       Date:  2011-11-14       Impact factor: 9.161

4.  Stochastic gene expression in a lentiviral positive-feedback loop: HIV-1 Tat fluctuations drive phenotypic diversity.

Authors:  Leor S Weinberger; John C Burnett; Jared E Toettcher; Adam P Arkin; David V Schaffer
Journal:  Cell       Date:  2005-07-29       Impact factor: 41.582

5.  Random partitioning of molecules at cell division.

Authors:  Dann Huh; Johan Paulsson
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-22       Impact factor: 11.205

6.  Experimental evolution of bet hedging.

Authors:  Hubertus J E Beaumont; Jenna Gallie; Christian Kost; Gayle C Ferguson; Paul B Rainey
Journal:  Nature       Date:  2009-11-05       Impact factor: 49.962

7.  Human housekeeping genes, revisited.

Authors:  Eli Eisenberg; Erez Y Levanon
Journal:  Trends Genet       Date:  2013-06-27       Impact factor: 11.639

8.  Patterning the insect eye: From stochastic to deterministic mechanisms.

Authors:  Haleh Ebadi; Michael Perry; Keith Short; Konstantin Klemm; Claude Desplan; Peter F Stadler; Anita Mehta
Journal:  PLoS Comput Biol       Date:  2018-11-15       Impact factor: 4.475

9.  Non-genetic origins of cell-to-cell variability in TRAIL-induced apoptosis.

Authors:  Sabrina L Spencer; Suzanne Gaudet; John G Albeck; John M Burke; Peter K Sorger
Journal:  Nature       Date:  2009-04-12       Impact factor: 49.962

10.  Paracrine communication maximizes cellular response fidelity in wound signaling.

Authors:  L Naomi Handly; Anna Pilko; Roy Wollman
Journal:  Elife       Date:  2015-10-08       Impact factor: 8.140

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  1 in total

1.  Independent control of mean and noise by convolution of gene expression distributions.

Authors:  Karl P Gerhardt; Satyajit D Rao; Evan J Olson; Oleg A Igoshin; Jeffrey J Tabor
Journal:  Nat Commun       Date:  2021-11-29       Impact factor: 14.919

  1 in total

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