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Updated: Aug 4, 2025

MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria
Published on: February 23, 2021
Probe-based bacterial single-cell RNA sequencing predicts toxin regulation.
Ryan McNulty1,2, Duluxan Sritharan3,4, Seong Ho Pahng4,5
1IFF Health and Biosciences, Wilmington, DE, USA.
Researchers developed probe-based bacterial sequencing (ProBac-seq) for single-cell RNA sequencing in bacteria. This method reveals cell states and gene expression heterogeneity, aiding in understanding bacterial populations and pathogenicity.
Area of Science:
- Microbiology
- Genomics
- Molecular Biology
Background:
- Clonal bacterial populations exhibit transcriptional variation for specialized cell states and increased fitness.
- Studying isogenic bacterial populations at the single-cell level is crucial for understanding diverse cell states.
Purpose of the Study:
- To develop a novel method for bacterial single-cell RNA sequencing.
- To analyze transcriptional heterogeneity in bacterial populations.
- To investigate the impact of environmental factors on bacterial pathogenicity.
Main Methods:
- Developed probe-based bacterial sequencing (ProBac-seq).
- Utilized DNA probes and a microfluidic platform for single-cell RNA sequencing.
- Sequenced transcriptomes of thousands of individual bacterial cells.
Main Results:
- ProBac-seq successfully sequenced transcriptomes of thousands of bacterial cells, detecting hundreds of transcripts per cell.
- Applied to Bacillus subtilis and Escherichia coli, ProBac-seq identified known cell states and uncovered novel transcriptional heterogeneity.
- Analysis of Clostridium perfringens revealed heterogeneous toxin expression in a subpopulation, modulated by acetate.
Conclusions:
- ProBac-seq is an effective method for uncovering transcriptional heterogeneity in isogenic microbial populations.
- The method can identify perturbations affecting bacterial pathogenicity, as demonstrated with Clostridium perfringens.
- Understanding single-cell transcriptional states is key to deciphering bacterial adaptation and virulence.
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