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SRX20253198: GSM7306273: eBW4, scRNAseq; Pseudomonas aeruginosa; Escherichia coli; Bacillus subtilis; RNA-Seq
2 ILLUMINA (Illumina NovaSeq 6000) runs: 3.6G spots, 360.8G bases, 124.8Gb downloads

External Id: GSM7306273_r1
Submitted by: Prinnceton University
Study: Massively-parallel Microbial mRNA Sequencing (M3-Seq) reveals heterogenous behaviors in bacteria at single-cell resolution
show Abstracthide Abstract
M3-Seq is a single-cell RNA-sequencing platform for bacteria that pairs combinatorial cell indexing with post hoc rRNA depletion. We use M3-Seq to profile hundreds of thousands of bacterial cells and reveal rare populations of bacteria that include bet-hedging strategies, prophage induction, and phage-infected cells in E. coli and B. subtilis. Overall design: Bacterial cells were grown and treated as described in the M3-Seq manuscript. Each named experiment corresponds to a different dataset.
Sample: eBW4, scRNAseq
SAMN34998525 • SRS17585187 • All experiments • All runs
Library:
Name: GSM7306273
Instrument: Illumina NovaSeq 6000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC SINGLE CELL
Selection: cDNA
Layout: PAIRED
Construction protocol: Cells were fixed in formaldehyde overnight, washed 2x, permeabilized using lysozyme, then washed 2x more. Cells then underwent an in-situ RT for r1 indices, after which the cells were pooled. Cells were then loaded onto the 10X scATAC platform. Following droplet generation, emulsions were broken, cells were lysed, and processed according to the M3-Seq protocol. Briefly, RNA was stripped from DNA using RNase H, followed by second strand synthesis using random primers. Following second strand synthesis, DNA library was tagmented, amplified, and then in vitro transcribed. The library was rRNA-depleted, and then reverse transcribed using a P5-specific primer. The final library was amplified and indexed using indexing primers.
Runs: 2 runs, 3.6G spots, 360.8G bases, 124.8Gb
Run# of Spots# of BasesSizePublished
SRR244664081,836,352,017183.6G59Gb2023-07-27
SRR244664091,772,133,377177.2G65.7Gb2023-07-27

ID:
27673644

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