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Status |
Public on Feb 09, 2023 |
Title |
Improved bacterial single-cell RNA-seq through automated MATQ-seq [scRNA-seq] |
Organism |
Salmonella enterica subsp. enterica serovar Typhimurium |
Experiment type |
Expression profiling by high throughput sequencing
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Summary |
In this work, we have improved our previously published bacterial single-cell RNA-sequencing protocol (MATQ-seq), providing enhancements that achieve a higher cell throughput while also including integration of automation. We selected a more efficient reverse transcriptase which led to a lower drop-out rate and higher workflow robustness, and we also successfully implemented a Cas9-based ribosomal RNA depletion protocol into the MATQ-seq workflow. Applying this improved protocol on a large set of single Salmonella cells sampled over growth revealed improved gene coverage and a higher gene detection limit, allowing us to reveal the expression of small regulatory RNAs such as GcvB or CsrB at a single-cell level. In addition, we were able to confirm previously described phenotypic heterogeneity in Salmonella in regards to expression of pathogenicity-associated genes.
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Overall design |
Bacterial scRNA-seq using MATQseq of four growth phases of Salmonella enterica serovar Typhimurium.
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Contributor(s) |
Homberger C, Hayward RJ, Barquist L, Vogel J |
Citation(s) |
36880749 |
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Submission date |
Nov 23, 2022 |
Last update date |
May 12, 2023 |
Contact name |
Regan Hayward |
Organization name |
Helmholtz Institute for RNA-based Infection Research
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Street address |
Josef-Schneider-Straße 2 / D15
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City |
Wurzburg |
ZIP/Postal code |
97080 |
Country |
Germany |
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Platforms (1) |
GPL30637 |
NextSeq 2000 (Salmonella enterica subsp. enterica serovar Typhimurium) |
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Samples (384)
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This SubSeries is part of SuperSeries: |
GSE218633 |
Improved bacterial single-cell RNA-seq through automated MATQ-seq |
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Relations |
BioProject |
PRJNA904727 |