Literature DB >> 28346890

High-throughput system-wide engineering and screening for microbial biotechnology.

Yannick Vervoort1, Alicia Gutiérrez Linares2, Miguel Roncoroni2, Chengxun Liu3, Jan Steensels2, Kevin J Verstrepen4.   

Abstract

Genetic engineering and screening of large number of cells or populations is a crucial bottleneck in today's systems biology and applied (micro)biology. Instead of using standard methods in bottles, flasks or 96-well plates, scientists are increasingly relying on high-throughput strategies that miniaturize their experiments to the nanoliter and picoliter scale and the single-cell level. In this review, we summarize different high-throughput system-wide genome engineering and screening strategies for microbes. More specifically, we will emphasize the use of multiplex automated genome evolution (MAGE) and CRISPR/Cas systems for high-throughput genome engineering and the application of (lab-on-chip) nanoreactors for high-throughput single-cell or population screening.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2017        PMID: 28346890     DOI: 10.1016/j.copbio.2017.02.011

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  14 in total

Review 1.  Recent advances in genetic engineering tools based on synthetic biology.

Authors:  Jun Ren; Jingyu Lee; Dokyun Na
Journal:  J Microbiol       Date:  2020-01-02       Impact factor: 3.422

2.  Chemical mutagenesis and high throughput media optimization in Tolypocladium inflatum MTCC-3538 leads to enhanced production of cyclosporine A.

Authors:  Vidushi Abrol; Manoj Kushwaha; Sharada Mallubhotla; Sundeep Jaglan
Journal:  3 Biotech       Date:  2022-07-05       Impact factor: 2.893

Review 3.  Strategies to Improve Saccharomyces cerevisiae: Technological Advancements and Evolutionary Engineering.

Authors:  Arun Kumar Dangi; Kashyap Kumar Dubey; Pratyoosh Shukla
Journal:  Indian J Microbiol       Date:  2017-10-06       Impact factor: 2.461

4.  Host-Informed Expression of CRISPR Guide RNA for Genomic Engineering in Komagataella phaffii.

Authors:  Neil C Dalvie; Justin Leal; Charles A Whittaker; Yuchen Yang; Joseph R Brady; Kerry R Love; J Christopher Love
Journal:  ACS Synth Biol       Date:  2019-12-13       Impact factor: 5.110

Review 5.  Production of C2-C4 diols from renewable bioresources: new metabolic pathways and metabolic engineering strategies.

Authors:  Ye Zhang; Dehua Liu; Zhen Chen
Journal:  Biotechnol Biofuels       Date:  2017-12-13       Impact factor: 6.040

6.  Co-expression network analysis identifies a gene signature as a predictive biomarker for energy metabolism in osteosarcoma.

Authors:  Naiqiang Zhu; Jingyi Hou; Guiyun Ma; Shuai Guo; Chengliang Zhao; Bin Chen
Journal:  Cancer Cell Int       Date:  2020-06-22       Impact factor: 5.722

7.  Ten-gene signature reveals the significance of clinical prognosis and immuno-correlation of osteosarcoma and study on novel skeleton inhibitors regarding MMP9.

Authors:  Weihang Li; Ziyi Ding; Dong Wang; Chengfei Li; Yikai Pan; Yingjing Zhao; Hongzhe Zhao; Tianxing Lu; Rui Xu; Shilei Zhang; Bin Yuan; Yunlong Zhao; Yanjiang Yin; Yuan Gao; Jing Li; Ming Yan
Journal:  Cancer Cell Int       Date:  2021-07-14       Impact factor: 5.722

8.  FnCpf1: a novel and efficient genome editing tool for Saccharomyces cerevisiae.

Authors:  Michal A Swiat; Sofia Dashko; Maxime den Ridder; Melanie Wijsman; John van der Oost; Jean-Marc Daran; Pascale Daran-Lapujade
Journal:  Nucleic Acids Res       Date:  2017-12-01       Impact factor: 16.971

Review 9.  Droplet Microfluidics-Enabled High-Throughput Screening for Protein Engineering.

Authors:  Lindong Weng; James E Spoonamore
Journal:  Micromachines (Basel)       Date:  2019-10-29       Impact factor: 2.891

10.  Model-assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses.

Authors:  André Moser; Kim B Kuchemüller; Sahar Deppe; Tanja Hernández Rodríguez; Björn Frahm; Ralf Pörtner; Volker C Hass; Johannes Möller
Journal:  Bioprocess Biosyst Eng       Date:  2021-01-20       Impact factor: 3.210

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