Evidence map›Paper›PMID 28070933›Full record

ArticleProteomics2017

Secretome analysis of diarrhea-inducing strains of Escherichia coli.

Raja Sekhar Nirujogi, Babylakshmi Muthusamy, Min-Sik Kim, Gajanan J Sathe, P T V Lakshmi, Olga N Kovbasnjuk, T S Keshava Prasad, Mary Wade, Rabih E Jabbour

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Proteomic profiling ofBioImpacts : BI · 2020
    Article
  3. 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

9 authors at 6 institutions in 3 countries.

Raja Sekhar NirujogiInstitute of Bioinformatics, International Technology Park, Bangalore, India.
Babylakshmi MuthusamyInstitute of Bioinformatics, International Technology Park, Bangalore, India.
Min-Sik KimMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gajanan J SatheInstitute of Bioinformatics, International Technology Park, Bangalore, India.
P T V LakshmiCentre for Bioinformatics, Pondicherry University, Puducherry, India.
Olga N KovbasnjukDivision of Gastroenterology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
T S Keshava PrasadInstitute of Bioinformatics, International Technology Park, Bangalore, India.
Mary WadeResearch and Technology Directorate, US Army Edgewood Chemical Biological Center, Aberdeen Proving Ground, MD, USA.
Rabih E JabbourResearch and Technology Directorate, US Army Edgewood Chemical Biological Center, Aberdeen Proving Ground, MD, USA.
Institute of Bioinformatics · INJohns Hopkins Medicine · USManipal Academy of Higher Education · INPondicherry University · INU.S. Army Center for Health Promotion and Preventive Medicine · USU.S. Army Combat Capabilities Development Command Chemical Biological Center

Funding

Translational Research Enhancement CoreP30DK089502 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI ZACHOS, NICHOLAS CONSTANTINE · 2011 to 2020
$12.0M
NIDDK NIH HHS P30 DK089502
6 · The paper itself

Abstract

Secreted proteins constitute a major part of virulence factors that are responsible for pathogenesis caused by Gram-negative bacteria. Enterohemorrhagic Escherichia coli, O157:H7, is the major pathogen often causing outbreaks. However, studies have reported that the significant outbreaks caused by non-O157:H7 E. coli strains, also known as "Big-Six" serogroup strains, are increasing. There is no systematic study describing differential secreted proteins from these non-O157:H7 E. coli strains. In this study, we carried out MS-based differential secretome analysis using tandem mass tags labeling strategy of non-O157:H7 E. coli strains, O103, O111, O121, O145, O26, and O45. We identified 1241 proteins, of which 565 proteins were predicted to be secreted. We also found that 68 proteins were enriched in type III secretion system and several of them were differentially expressed across the strains. Additionally, we identified several strain-specific secreted proteins that could be used for developing potential markers for the identification and strain-level differentiation. To our knowledge, this study is the first comparative proteomic study on secretome of E. coli Big-Six serogroup and the several of these strain-specific secreted proteins can be further studied to develop potential markers for identification and strain-level differentiation. Moreover, the results of this study can be utilized in several applications, including food safety, diagnostics of E. coli outbreaks, and detection and identification of bio threats in biodefense.

Indexed as

Bacterial Secretion SystemsCluster AnalysisDiarrheaEscherichia coliEscherichia coli ProteinsExtracellular SpaceMass SpectrometryProteomeProteomicsBacterial Secretion SystemsEscherichia coli ProteinsProteomeEscherichia coliMass spectrometryProteomicsSecretome

Identifiers

PMID28070933
PMCPMC5545895
OpenAlexW2571068251

What OpenQuestion holds

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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.