Microbial single-cell RNA sequencing by split-pool barcoding-Reference-Cited by-同舟云学术

Microbial single-cell RNA sequencing by split-pool barcoding

Published:2021-02-19 Issue:6531 Volume:371 Page:
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Kuchina Anna¹^ORCID,Brettner Leandra M.²³^ORCID,Paleologu Luana⁴⁵,Roco Charles M.²^ORCID,Rosenberg Alexander B.¹^ORCID,Carignano Alberto¹^ORCID,Kibler Ryan⁶^ORCID,Hirano Matthew¹^ORCID,DePaolo R. William³⁷^ORCID,Seelig Georg¹⁸⁹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, USA.

2. Department of Bioengineering, University of Washington, Seattle, WA, USA.

3. Center for Microbiome Sciences and Therapeutics, School of Medicine, University of Washington, Seattle, WA, USA.

4. Department of Microbiology, University of Washington, Seattle, WA, USA.

5. Department of Biology, University of Washington, Seattle, WA, USA.

6. Biological Physics, Structure, and Design, University of Washington, Seattle, WA, USA.

7. Department of Medicine, Division of Gastroenterology, School of Medicine, University of Washington, Seattle, WA, USA.

8. Molecular Engineering and Sciences Institute, University of Washington, Seattle, WA, USA.

9. Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

Abstract

Bacterial cell gene expression Single-cell genomics in bacteria has lagged relative to in eukaryotes because of their tough bacterial cell walls, low messenger RNA content, and lack of many posttranscriptional modifications. To tackle this challenge, Kuchina et al. developed microbial split-pool ligation transcriptomics, or microSPLiT, a single-cell sequencing method for both Gram-negative and Gram-positive bacteria. Sequencing both Escherichia coli and Bacillus subtilis showed differences in the heat shock response. Examining B. subtilis transcriptional patterns revealed that a small fraction of cells grown in laboratory medium express a myo-inositol catabolism pathway, which the cell could use in nonlaboratory environments, thus highlighting how microSPLiT can identify rare cellular states. Science , this issue p. eaba5257

Funder

National Human Genome Research Institute

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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