Literature DB >> 31513989

High-throughput screening for improved microbial cell factories, perspective and promise.

Michael D Leavell1, Amoolya H Singh2, Benjamin B Kaufmann-Malaga2.   

Abstract

High-throughput screening is a critical part of any industrial strain engineering effort, helping ensure the lowest cost product is produced in the shortest amount of time. Small-scale testing that correlates to manufacturing scale allows rapid strain development with confidence that engineering changes are relevant at-scale. In this review, the current state of high-throughput screening, the technological advances for the next generation strain screening pipeline, and options for implementation are reviewed. New technologies in cell culture (optofluidics) and measurement (acoustic mist ionization mass spectrometry) are highlighted, and special considerations (i.e. cost models, correlation between scales, data quality) are discussed.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Year:  2019        PMID: 31513989     DOI: 10.1016/j.copbio.2019.07.002

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


  5 in total

1.  Automated Conditional Screening of Multiple Escherichia coli Strains in Parallel Adaptive Fed-Batch Cultivations.

Authors:  Sebastian Hans; Benjamin Haby; Niels Krausch; Tilman Barz; Peter Neubauer; Mariano Nicolas Cruz-Bournazou
Journal:  Bioengineering (Basel)       Date:  2020-11-11

Review 2.  Debaryomyces hansenii: an old acquaintance for a fresh start in the era of the green biotechnology.

Authors:  Clara Navarrete; Mònica Estrada; José L Martínez
Journal:  World J Microbiol Biotechnol       Date:  2022-04-28       Impact factor: 4.253

3.  Enabling Clonal Analyses of Yeast in Outer Space by Encapsulation and Desiccation in Hollow Microparticles.

Authors:  Simon Ng; Cayden Williamson; Mark van Zee; Dino Di Carlo; Sergio R Santa Maria
Journal:  Life (Basel)       Date:  2022-07-31

Review 4.  Machine Learning Applications for Mass Spectrometry-Based Metabolomics.

Authors:  Ulf W Liebal; An N T Phan; Malvika Sudhakar; Karthik Raman; Lars M Blank
Journal:  Metabolites       Date:  2020-06-13

5.  Profiling Anticancer and Antioxidant Activities of Phenolic Compounds Present in Black Walnuts (Juglans nigra) Using a High-Throughput Screening Approach.

Authors:  Khanh-Van Ho; Anuradha Roy; Sarah Foote; Phuc H Vo; Namrita Lall; Chung-Ho Lin
Journal:  Molecules       Date:  2020-10-02       Impact factor: 4.411

  5 in total

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