Literature DB >> 30172841

Open-Source High-Throughput Phenomics of Bacterial Promoter-Reporter Strains.

Shawn French1, Brittney E Coutts1, Eric D Brown2.   

Abstract

Open-source electronics are becoming more prevalent in biological sciences, enabling novel and unique means of data acquisition. Here, we present 3D-printed, open-source tools to acquire fluorescence phenotypes with high temporal resolution. Printed fluorescence imaging boxes (PFIboxes) cost approximately 200 US dollars to assemble, can be placed in incubators or hypoxic chambers, and accurately read high-density colony arrays of microorganisms. We demonstrate the utility of PFIboxes using a time course gene expression approach, examining global Escherichia coli promoter activity using a fluorescent reporter library across a diverse panel of 15 antibiotics, each at several concentrations. Many secondary and indirect effects were observed when E. coli was challenged with various drugs, including increased gene expression in carbon metabolism processes. Further, kinetic data acquisition enabled non-destructive time course gene expression, clustering of which revealed patterns of co-expression. In all, PFIboxes provide an open solution to gene expression, for about 2 US dollars per treatment condition, including technical replicates.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3D printing; antibiotics; chemical genomics; fluorescence reporters; gene expression; open source; phenomics; quantitative imaging; stress response

Mesh:

Substances:

Year:  2018        PMID: 30172841     DOI: 10.1016/j.cels.2018.07.004

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  6 in total

1.  A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action.

Authors:  Jason H Yang; Sarah N Wright; Meagan Hamblin; Douglas McCloskey; Miguel A Alcantar; Lars Schrübbers; Allison J Lopatkin; Sangeeta Satish; Amir Nili; Bernhard O Palsson; Graham C Walker; James J Collins
Journal:  Cell       Date:  2019-05-09       Impact factor: 41.582

Review 2.  Expanding the search for small-molecule antibacterials by multidimensional profiling.

Authors:  Karin Ortmayr; Roberto de la Cruz Moreno; Mattia Zampieri
Journal:  Nat Chem Biol       Date:  2022-05-23       Impact factor: 16.174

3.  Combining CRISPRi and metabolomics for functional annotation of compound libraries.

Authors:  Miquel Anglada-Girotto; Gabriel Handschin; Karin Ortmayr; Adrian I Campos; Ludovic Gillet; Pablo Manfredi; Claire V Mulholland; Michael Berney; Urs Jenal; Paola Picotti; Mattia Zampieri
Journal:  Nat Chem Biol       Date:  2022-02-22       Impact factor: 16.174

4.  Visualizing the pH in Escherichia coli Colonies via the Sensor Protein mCherryEA Allows High-Throughput Screening of Mutant Libraries.

Authors:  Fabian Stefan Franz Hartmann; Tamara Weiß; Jing Shen; Dóra Smahajcsik; Simonas Savickas; Gerd Michael Seibold
Journal:  mSystems       Date:  2022-04-18       Impact factor: 7.324

Review 5.  A How-To Guide for Mode of Action Analysis of Antimicrobial Peptides.

Authors:  Ann-Britt Schäfer; Michaela Wenzel
Journal:  Front Cell Infect Microbiol       Date:  2020-10-19       Impact factor: 5.293

6.  Large-scale data analysis for robotic yeast one-hybrid platforms and multi-disciplinary studies using GateMultiplex.

Authors:  Ni-Chiao Tsai; Tzu-Shu Hsu; Shang-Che Kuo; Chung-Ting Kao; Tzu-Huan Hung; Da-Gin Lin; Chung-Shu Yeh; Chia-Chen Chu; Jeng-Shane Lin; Hsin-Hung Lin; Chia-Ying Ko; Tien-Hsien Chang; Jung-Chen Su; Ying-Chung Jimmy Lin
Journal:  BMC Biol       Date:  2021-09-24       Impact factor: 7.431

  6 in total

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