Evidence map›Paper›PMID 27601571›Full record

ArticlemBio2016

Mapping the Regulatory Network for Salmonella enterica Serovar Typhimurium Invasion.

Carol Smith, Anne M Stringer, Chunhong Mao, Michael J Palumbo, Joseph T Wade

Open access · goldAbstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
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  5. TheJournal of bacteriology · 2025
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  8. ThebioRxiv : the preprint server for biology · 2024
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  12. Genome-wide mapping of thebioRxiv : the preprint server for biology · 2023
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  15. Pervasive transcription enhances the accessibility of H-NS-silenced promoters and generates bistability inProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  16. Regulatory Evolution of theJournal of bacteriology · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Carol SmithWadsworth Center, New York State Department of Health, Albany, New York, USA.
Anne M StringerWadsworth Center, New York State Department of Health, Albany, New York, USA.
Chunhong MaoBiocomplexity Institute of Virginia Tech, Virginia Tech, Blacksburg, Virginia, USA.
Michael J PalumboWadsworth Center, New York State Department of Health, Albany, New York, USA.
Joseph T WadeWadsworth Center, New York State Department of Health, Albany, New York, USA Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York, USA joseph.wade@health.ny.gov.
Wadsworth Center · USBiocom · USNew York State Department of Health · US

Funding

Pervasive transcription in bacterial genomesDP2OD007188 · OD · WADSWORTH CENTER · PI WADE, JOSEPH THOMAS · 2010 to 2010
$2.4M
NIAID NIH HHS HHSN272200900040CNIH HHS DP2 OD007188
6 · The paper itself

Abstract

unlabelledSalmonella enterica pathogenicity island 1 (SPI-1) encodes proteins required for invasion of gut epithelial cells. The timing of invasion is tightly controlled by a complex regulatory network. The transcription factor (TF) HilD is the master regulator of this process and senses environmental signals associated with invasion. HilD activates transcription of genes within and outside SPI-1, including six other TFs. Thus, the transcriptional program associated with host cell invasion is controlled by at least 7 TFs. However, very few of the regulatory targets are known for these TFs, and the extent of the regulatory network is unclear. In this study, we used complementary genomic approaches to map the direct regulatory targets of all 7 TFs. Our data reveal a highly complex and interconnected network that includes many previously undescribed regulatory targets. Moreover, the network extends well beyond the 7 TFs, due to the inclusion of many additional TFs and noncoding RNAs. By comparing gene expression profiles of regulatory targets for the 7 TFs, we identified many uncharacterized genes that are likely to play direct roles in invasion. We also uncovered cross talk between SPI-1 regulation and other regulatory pathways, which, in turn, identified gene clusters that likely share related functions. Our data are freely available through an intuitive online browser and represent a valuable resource for the bacterial research community. IMPORTANCE: Invasion of epithelial cells is an early step during infection by Salmonella enterica and requires secretion of specific proteins into host cells via a type III secretion system (T3SS). Most T3SS-associated proteins required for invasion are encoded in a horizontally acquired genomic locus known as Salmonella pathogenicity island 1 (SPI-1). Multiple regulators respond to environmental signals to ensure appropriate timing of SPI-1 gene expression. In particular, there are seven transcription regulators that are known to be involved in coordinating expression of SPI-1 genes. We have used complementary genome-scale approaches to map the gene targets of these seven regulators. Our data reveal a highly complex and interconnected regulatory network that includes many previously undescribed target genes. Moreover, our data functionally implicate many uncharacterized genes in the invasion process and reveal cross talk between SPI-1 regulation and other regulatory pathways. All datasets are freely available through an intuitive online browser.

Indexed as

EndocytosisGene Regulatory NetworksEpithelial CellsGene Expression ProfilingRegulonRNA, UntranslatedSalmonella typhimuriumTranscription FactorsRNA, UntranslatedTranscription Factors

Identifiers

PMID27601571
PMCPMC5013294
OpenAlexW2515068008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.