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Series GSE218632 Query DataSets for GSE218632
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
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.
 
Overall design Bacterial scRNA-seq using MATQseq of four growth phases of Salmonella enterica serovar Typhimurium.
 
Contributor(s) Homberger C, Hayward RJ, Barquist L, Vogel J
Citation(s) 36880749
Submission date Nov 23, 2022
Last update date May 12, 2023
Contact name Regan Hayward
Organization name Helmholtz Institute for RNA-based Infection Research
Street address Josef-Schneider-Straße 2 / D15
City Wurzburg
ZIP/Postal code 97080
Country Germany
 
Platforms (1)
GPL30637 NextSeq 2000 (Salmonella enterica subsp. enterica serovar Typhimurium)
Samples (384)
GSM6753484 I_A7_S199
GSM6753485 I_A8_S200
GSM6753486 I_A9_S201
This SubSeries is part of SuperSeries:
GSE218633 Improved bacterial single-cell RNA-seq through automated MATQ-seq
Relations
BioProject PRJNA904727

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE218632_sc_counts.tsv.gz 519.9 Kb (ftp)(http) TSV
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Raw data are available in SRA
Processed data are available on Series record

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