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Updated: Jan 10, 2026

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High-throughput Screening for Chemical Modulators of Post-transcriptionally Regulated Genes
Published on: March 3, 2015
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High-throughput chemical genomic screening: a step-by-step workflow from plate to phenotype
Georgia Williams1,2, Huda Ahmad1, Susan Sutherland1
1Institute of Microbiology and Infection, University of Birmingham, Birmingham, United Kingdom.
Msystems
|November 28, 2025
Summary
This study presents a standardized, end-to-end protocol for high-throughput chemical genomics screening. This scalable workflow links microbial gene function to phenotype, aiding in the discovery of drug targets and understanding antimicrobial resistance.
Area of Science:
- Microbial Systems Biology
- Functional Genomics
- Chemical Genomics
Background:
- High-throughput chemical genomics links gene function to phenotype using strain libraries.
- Existing methods lack standardized workflows, limiting broader microbial research applications.
- Phenotypic profiles are crucial for functional annotations and identifying drug targets.
Purpose of the Study:
- To provide a step-by-step guide for conducting reproducible chemical genomics screens.
- To introduce a scalable, end-to-end protocol integrating experimental, imaging, and computational steps.
- To facilitate the systematic exploration of gene-environment interactions and microbial stress responses.
Main Methods:
- Development of a cohesive framework for high-throughput screening across microbial species.
- Integration of experimental, imaging, and computational analyses.
- Standardization of workflows for generating consistent, high-quality phenotypic data.
Main Results:
- A scalable, end-to-end protocol for chemical genomics screening is established.
- The protocol enables consistent generation of high-quality phenotypic data for large-scale analyses.
- The workflow supports exploration of gene-environment interactions and antimicrobial resistance.
Conclusions:
- This standardized protocol enhances the utility of chemical genomics in microbial research.
- The workflow bridges benchwork and computational analysis, expanding tools for microbial systems biologists.
- The method supports research in microbiome studies, synthetic biology, and microbial communities.

