Literature DB >> 29687993

Macromolecular Crowding Induces Spatial Correlations That Control Gene Expression Bursting Patterns.

S Elizabeth Norred1,2, Patrick M Caveney1,2, Gaurav Chauhan3, Lauren K Collier1, C Patrick Collier1, Steven M Abel3, Michael L Simpson1,2.   

Abstract

Recent superresolution microscopy studies in E. coli demonstrate that the cytoplasm has highly variable local concentrations where macromolecular crowding plays a central role in establishing membrane-less compartmentalization. This spatial inhomogeneity significantly influences molecular transport and association processes central to gene expression. Yet, little is known about how macromolecular crowding influences gene expression bursting-the episodic process where mRNA and proteins are produced in bursts. Here, we simultaneously measured mRNA and protein reporters in cell-free systems, showing that macromolecular crowding decoupled the well-known relationship between fluctuations in the protein population (noise) and mRNA population statistics. Crowded environments led to a 10-fold increase in protein noise even though there were only modest changes in the mRNA population and fluctuations. Instead, cell-like macromolecular crowding created an inhomogeneous spatial distribution of mRNA ("spatial noise") that led to large variability in the protein production burst size. As a result, the mRNA spatial noise created large temporal fluctuations in the protein population. These results highlight the interplay between macromolecular crowding, spatial inhomogeneities, and the resulting dynamics of gene expression, and provide insights into using these organizational principles in both cell-based and cell-free synthetic biology.

Entities:  

Keywords:  GUV; cell-free; gene expression bursting; gene expression noise; liposomes; macromolecular crowding

Mesh:

Substances:

Year:  2018        PMID: 29687993     DOI: 10.1021/acssynbio.8b00139

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  9 in total

1.  Dynamic Crowding Regulates Transcription.

Authors:  Anne R Shim; Rikkert J Nap; Kai Huang; Luay M Almassalha; Hiroaki Matusda; Vadim Backman; Igal Szleifer
Journal:  Biophys J       Date:  2019-11-15       Impact factor: 4.033

Review 2.  Progress on Crowding Effect in Cell-like Structures.

Authors:  Chao Li; Xiangxiang Zhang; Mingdong Dong; Xiaojun Han
Journal:  Membranes (Basel)       Date:  2022-06-03

3.  Measuring how two proteins affect each other's net charge in a crowded environment.

Authors:  Chad M Dashnaw; Jordan C Koone; Alireza Abdolvahabi; Bryan F Shaw
Journal:  Protein Sci       Date:  2021-05-12       Impact factor: 6.993

4.  Negative autoregulation controls size scaling in confined gene expression reactions.

Authors:  Yusuke T Maeda
Journal:  Sci Rep       Date:  2022-06-22       Impact factor: 4.996

5.  In vitro assembly, positioning and contraction of a division ring in minimal cells.

Authors:  Shunshi Kohyama; Adrián Merino-Salomón; Petra Schwille
Journal:  Nat Commun       Date:  2022-10-15       Impact factor: 17.694

Review 6.  Cell-free microcompartmentalised transcription-translation for the prototyping of synthetic communication networks.

Authors:  Emilien Dubuc; Pascal A Pieters; Ardjan J van der Linden; Jan Cm van Hest; Wilhelm Ts Huck; Tom Fa de Greef
Journal:  Curr Opin Biotechnol       Date:  2018-12-26       Impact factor: 10.279

Review 7.  Bottom-Up Construction of Complex Biomolecular Systems With Cell-Free Synthetic Biology.

Authors:  Nadanai Laohakunakorn; Laura Grasemann; Barbora Lavickova; Grégoire Michielin; Amir Shahein; Zoe Swank; Sebastian J Maerkl
Journal:  Front Bioeng Biotechnol       Date:  2020-03-24

8.  Transcription and Translation in Cytomimetic Protocells Perform Most Efficiently at Distinct Macromolecular Crowding Conditions.

Authors:  Mahesh A Vibhute; Mark H Schaap; Roel J M Maas; Frank H T Nelissen; Evan Spruijt; Hans A Heus; Maike M K Hansen; Wilhelm T S Huck
Journal:  ACS Synth Biol       Date:  2020-10-05       Impact factor: 5.110

9.  Cell-Free Gene Expression Dynamics in Synthetic Cell Populations.

Authors:  David T Gonzales; Naresh Yandrapalli; Tom Robinson; Christoph Zechner; T-Y Dora Tang
Journal:  ACS Synth Biol       Date:  2022-01-04       Impact factor: 5.110

  9 in total

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