Proteomics,Multiomics

Dataset Information

0

Systems analysis of Salmonella regulatory mutants


ABSTRACT: Sample-matched multi-omic measurements of fourteen virulence-essential regulator mutants were coupled with computational network analysis to efficiently identify Salmonella virulence factors. A subset of computationally predicted virulence factors was determined to be secreted into the host cytoplasm, and two of these, SrfN and PagK2, were required for full mouse virulence and defined a new class of translocated effectors involved in pathogenesis.

OTHER RELATED OMICS DATASETS IN: PRJNA167756

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Salmonella Typhimurium (strain 14028s / Sgsc 2262)

SUBMITTER: Matthew Monroe  

PROVIDER: PXD000390 | Pride | 2013-10-07

REPOSITORIES: Pride

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Publications

Systems analysis of multiple regulator perturbations allows discovery of virulence factors in Salmonella.

Yoon Hyunjin H   Ansong Charles C   McDermott Jason E JE   Gritsenko Marina M   Smith Richard D RD   Heffron Fred F   Adkins Joshua N JN  

BMC systems biology 20110628


<h4>Background</h4>Systemic bacterial infections are highly regulated and complex processes that are orchestrated by numerous virulence factors. Genes that are coordinately controlled by the set of regulators required for systemic infection are potentially required for pathogenicity.<h4>Results</h4>In this study we present a systems biology approach in which sample-matched multi-omic measurements of fourteen virulence-essential regulator mutants were coupled with computational network analysis t  ...[more]

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