Related Experiment Video
Updated: Jul 3, 2026
12:24
DNA-affinity-purified Chip (DAP-chip) Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
Published on: July 21, 2014
Finding new pathway-specific regulators by clustering method using threshold standard deviation based on DNA chip
Yung-Hun Yang1, Ji-Nu Kim, Eunjung Song
1School of Chemical and biological Engineering, Seoul National University, Seoul, South Korea.
Applied Microbiology and Biotechnology
|July 26, 2008
Summary
Researchers identified new regulators controlling antibiotic production and sporulation in S. coelicolor. This method uses messenger ribonucleic acid (mRNA) expression data to find key genes, aiding future antibiotic discovery.
Area of Science:
- Microbiology
- Molecular Biology
- Genetics
Background:
- Antibiotic production and cellular events are regulated by complex genetic networks.
- Identifying specific regulatory genes is crucial for understanding and manipulating these processes.
Purpose of the Study:
- To identify novel regulators involved in antibiotic biosynthesis (actinorhodin and undecylprodigiosin) and sporulation in S. coelicolor.
- To develop a systematic approach for discovering gene regulators based on expression patterns.
Main Methods:
- Clustering of messenger ribonucleic acid (mRNA) expression data from antibiotic biosynthetic gene clusters (ACT, RED) with known regulator expression data.
- Filtering based on standard deviation and subsequent clustering analysis.
- Gene deletion and overexpression experiments to validate regulator function.
Main Results:
- Identified five regulators, including known ones (SCO3579/WlbA, SCO6722/SsgD).
- Discovered two novel repressors, SCO0608 and SCO6808, impacting antibiotic production and sporulation.
- Demonstrated the utility of the expression-based clustering approach for regulator discovery.
Conclusions:
- The developed method effectively identifies novel regulators of antibiotic production and sporulation.
- This approach is broadly applicable to discovering regulators for various gene clusters with distinct expression profiles.
- Findings provide insights into regulatory mechanisms and gene selection rules in S. coelicolor.
