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Series GSE260457 Query DataSets for GSE260457
Status Public on Dec 10, 2024
Title An Improved Bacterial Single-cell RNA-seq Reveals Biofilm Heterogeneity [scRNA-seq]
Organisms Staphylococcus aureus; Escherichia coli str. K-12 substr. MG1655; Caulobacter vibrioides NA1000
Experiment type Expression profiling by high throughput sequencing
Summary In contrast to mammalian cells, bacterial cells lack mRNA polyadenylated tails, presenting a hurdle in isolating mRNA amidst the prevalent rRNA during single-cell RNA-seq. This study introduces a novel method, Ribosomal RNA-derived cDNA Depletion (RiboD), seamlessly integrated into the PETRI-seq technique, yielding RiboD-PETRI. This innovative approach offers a cost-effective, equipment-free, and high-throughput solution for bacterial single-cell RNA sequencing (scRNA-seq). By efficiently eliminating rRNA reads and substantially enhancing mRNA detection rates (up to 92%), our method enables precise exploration of bacterial population heterogeneity. Applying RiboD-PETRI to investigate biofilm heterogeneity, distinctive subpopulations marked by unique genes within biofilms were successfully identified. Notably, PdeI, a marker for the cell-surface attachment subpopulation, was observed to elevate cyclic diguanylate (c-di-GMP) levels, promoting persister cell formation. Thus, we address a persistent challenge in bacterial single-cell RNA-seq regarding rRNA abundance, exemplifying the utility of this method in exploring biofilm heterogeneity. Our method effectively tackles a long-standing issue in bacterial scRNA-seq: the overwhelming abundance of rRNA. This advancement significantly enhances our ability to investigate the intricate heterogeneity within biofilms at unprecedented resolution.
 
Overall design We performed a new single-cell library construction method for three species of bacteria: Escherichia coli MG1655, Caulobacter crescentus strain NA1000, Staphylococcus aureus 25923 and verified the effect of different treatments during library construction on library data.
And then we analyzed the single-cell sequencing datas by Seurat(version 4.3.0; http://satijalab.org/seurat/).
 
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Submission date Feb 28, 2024
Last update date Dec 11, 2024
Contact name Xiaodan Yan
E-mail(s) [email protected]
Phone 13283874287
Organization name Wuhan University
Department Medical Research Institute
Street address Donghu Road, No. 115, Wuchang District,
City Wuhan
State/province Hubei Province
ZIP/Postal code 430071
Country China
 
Platforms (3)
GPL26592 Illumina NovaSeq 6000 (Escherichia coli str. K-12 substr. MG1655)
GPL27158 Illumina NovaSeq 6000 (Staphylococcus aureus)
GPL34253 Illumina NovaSeq 6000 (Caulobacter vibrioides NA1000)
Samples (19)
GSM8117637 EC-24h-static-ΔΔ, replicate 1, scRNA-seq, High sequencing depth results (1214-7)
GSM8117638 EC-24h-static-ΔΔ, replicate 2, scRNA-seq, High sequencing depth results (1214-8)
GSM8117639 EC-3h-ΔΔ, replicate 1, scRNA-seq (0427-3)
This SubSeries is part of SuperSeries:
GSE260458 An Improved Bacterial Single-cell RNA-seq Reveals Biofilm Heterogeneity
Relations
BioProject PRJNA1081799

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
GSE260457_CC_rRNA_and_mRNA_reads.txt.gz 112.3 Kb (ftp)(http) TXT
GSE260457_Detailed_Computational_Pipeline.txt.gz 6.1 Kb (ftp)(http) TXT
GSE260457_ECOLI_rRNA_and_mRNA_reads.txt.gz 116.9 Kb (ftp)(http) TXT
GSE260457_RAW.tar 22.2 Mb (http)(custom) TAR (of TXT)
GSE260457_Result_of_correlation_analysis_between_PETRI_and_RiboD-PETRI.xlsx 115.6 Kb (ftp)(http) XLSX
GSE260457_Result_of_correlation_analysis_between_bulk_and_RiboD-PETRI.xlsx 117.8 Kb (ftp)(http) XLSX
GSE260457_SA_rRNA_and_mRNA_reads.txt.gz 71.2 Kb (ftp)(http) TXT
GSE260457_scripts.tar.gz 10.2 Kb (ftp)(http) TAR
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