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SRX8202729: GSM4505176: SL1344 inoculum 1; Salmonella enterica subsp. enterica serovar Typhimurium str. SL1344; Tn-Seq
1 ILLUMINA (Illumina MiSeq) run: 1.8M spots, 96M bases, 39.7Mb downloads

Submitted by: NCBI (GEO)
Study: A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence
show Abstracthide Abstract
Small proteins are an emerging class of gene products with diverse roles in bacterial physiology. However, a full understanding of their importance has been hampered by insufficient genome annotations and a lack of characterization in microbes other than Escherichia coli. Here, we have taken an integrative approach to accelerate the discovery of small proteins and their putative virulence-associated functions in Salmonella Typhimurium. We merged the annotated small proteome of Salmonella with new small proteins predicted with in silico and experimental approaches. We then exploited existing and newly generated global datasets that provide information on small open reading frame expression during infection of epithelial cells (dual RNA-seq), contribution to bacterial fitness inside macrophages (TraDIS), and potential engagement in molecular interactions (Grad-seq). This integrative approach suggested a new role for the small protein MgrB beyond its known function in regulating PhoQ. We demonstrated a virulence and motility defect of a Salmonella ?mgrB mutant and revealed an effect of MgrB in regulating the Salmonella transcriptome and proteome under infection-relevant conditions. Overall, our study highlights the power of interpreting available “omics” datasets with a focus on small proteins, and may serve as a blueprint for a data integration-based survey of small proteins in diverse bacteria. Overall design: A Salmonella transposon mutant pool was generated and used for macrophages infection. Abundance of each mutant was quantified before and after infection and used to assess the requirement for virulence of the disrupted genes.
Library:
Instrument: Illumina MiSeq
Strategy: Tn-Seq
Source: GENOMIC
Selection: other
Layout: SINGLE
Construction protocol: gDNA was extracted with the phenol-chloroform method. TraDIS library (Barquist et al., 2016 Bioinformatics)
Experiment attributes:
GEO Accession: GSM4505176
Links:
Runs: 1 run, 1.8M spots, 96M bases, 39.7Mb
Run# of Spots# of BasesSizePublished
SRR116390891,846,39196M39.7Mb2020-11-20

ID:
10689285

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