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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
Published on: May 23, 2018
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Microbial single-cell RNA sequencing by split-pool barcoding
Anna Kuchina1, Leandra M Brettner2,3, Luana Paleologu4,5
1Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.
Science (New York, N.Y.)
|December 18, 2020
Summary
We developed microSPLiT, a novel single-cell RNA sequencing method for bacteria. This technique resolves gene expression heterogeneity in microbial communities, enabling detailed analysis of bacterial transcriptional states.
Area of Science:
- Microbiology
- Genomics
- Molecular Biology
Background:
- Single-cell RNA sequencing (scRNA-seq) is crucial for eukaryotic gene expression analysis.
- Existing scRNA-seq methods are not suitable for bacterial cells.
- Understanding bacterial transcriptional heterogeneity is vital for microbiology.
Purpose of the Study:
- To introduce microSPLiT (microbial split-pool ligation transcriptomics), a high-throughput scRNA-seq method for bacteria.
- To enable the resolution of heterogeneous transcriptional states in bacteria.
- To create a comprehensive gene expression atlas for bacterial communities.
Main Methods:
- Development of microSPLiT, a novel high-throughput scRNA-seq technique.
- Application of microSPLiT to over 25,000 Bacillus subtilis cells across various growth stages.
- Analysis of gene expression profiles at the single-cell level.
Main Results:
- Successfully applied microSPLiT to both Gram-negative and Gram-positive bacteria.
- Generated a detailed gene expression atlas of Bacillus subtilis, revealing changes in metabolism and lifestyle.
- Identified known rare states like competence and prophage induction, alongside novel heterogeneous gene expression states.
Conclusions:
- MicroSPLiT is a powerful tool for high-throughput single-cell gene expression analysis in bacteria.
- The method allows for the study of bacterial transcriptional heterogeneity previously inaccessible.
- MicroSPLiT opens new avenues for analyzing complex bacterial communities, including natural microbiota.
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