Literature DB >> 35781199

Fluorescence-Activated Cell Sorting as a Tool for Recombinant Strain Screening.

Christos Skrekas1,2, Raphael Ferreira3, Florian David4,5.   

Abstract

Metabolic engineering of microbial cells is the discipline of optimizing microbial metabolism to enable and improve the production of target molecules ranging from biofuels and chemical building blocks to high-value pharmaceuticals. The advances in genetic engineering have eased the construction of highly engineered microbial strains and the generation of genetic libraries. Intracellular metabolite-responsive biosensors facilitate high-throughput screening of these libraries by connecting the levels of a metabolite of interest to a fluorescence output. Fluorescent-activated cell sorting (FACS) enables the isolation of highly fluorescent single cells and thus genotypes that produce higher levels of the metabolite of interest. Here, we describe a high-throughput screening method for recombinant yeast strain screening based on intracellular biosensors and FACS.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biosensors; FACS; Fluorescence; High-throughput screening; Libraries; Library screening; Metabolic engineering; Microbiology; Promoter library; Strain engineering; gRNA library

Mesh:

Year:  2022        PMID: 35781199     DOI: 10.1007/978-1-0716-2399-2_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  21 in total

1.  A large-scale overexpression screen in Saccharomyces cerevisiae identifies previously uncharacterized cell cycle genes.

Authors:  L F Stevenson; B K Kennedy; E Harlow
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-27       Impact factor: 11.205

Review 2.  Manufacturing molecules through metabolic engineering.

Authors:  Jay D Keasling
Journal:  Science       Date:  2010-12-03       Impact factor: 47.728

Review 3.  CRISPR/Cas9 advances engineering of microbial cell factories.

Authors:  Tadas Jakočiūnas; Michael K Jensen; Jay D Keasling
Journal:  Metab Eng       Date:  2015-12-17       Impact factor: 9.783

4.  A systematic library for comprehensive overexpression screens in Saccharomyces cerevisiae.

Authors:  Grace Marie Jones; Jim Stalker; Sean Humphray; Anthony West; Tony Cox; Jane Rogers; Ian Dunham; Gregory Prelich
Journal:  Nat Methods       Date:  2008-02-03       Impact factor: 28.547

Review 5.  Development of biosensors and their application in metabolic engineering.

Authors:  Jie Zhang; Michael K Jensen; Jay D Keasling
Journal:  Curr Opin Chem Biol       Date:  2015-06-05       Impact factor: 8.822

6.  Model-Assisted Fine-Tuning of Central Carbon Metabolism in Yeast through dCas9-Based Regulation.

Authors:  Raphael Ferreira; Christos Skrekas; Alex Hedin; Benjamín J Sánchez; Verena Siewers; Jens Nielsen; Florian David
Journal:  ACS Synth Biol       Date:  2019-10-14       Impact factor: 5.110

7.  FadR-Based Biosensor-Assisted Screening for Genes Enhancing Fatty Acyl-CoA Pools in Saccharomyces cerevisiae.

Authors:  Yasaman Dabirian; Paulo Gonçalves Teixeira; Jens Nielsen; Verena Siewers; Florian David
Journal:  ACS Synth Biol       Date:  2019-07-30       Impact factor: 5.110

8.  One-step assembly in yeast of 25 overlapping DNA fragments to form a complete synthetic Mycoplasma genitalium genome.

Authors:  Daniel G Gibson; Gwynedd A Benders; Kevin C Axelrod; Jayshree Zaveri; Mikkel A Algire; Monzia Moodie; Michael G Montague; J Craig Venter; Hamilton O Smith; Clyde A Hutchison
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-10       Impact factor: 11.205

9.  Analysis of combinatorial cis-regulation in synthetic and genomic promoters.

Authors:  Jason Gertz; Eric D Siggia; Barak A Cohen
Journal:  Nature       Date:  2008-11-23       Impact factor: 49.962

10.  Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design.

Authors:  Justin D Smith; Sundari Suresh; Ulrich Schlecht; Manhong Wu; Omar Wagih; Gary Peltz; Ronald W Davis; Lars M Steinmetz; Leopold Parts; Robert P St Onge
Journal:  Genome Biol       Date:  2016-03-08       Impact factor: 13.583

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