Evidence map›Paper›PMID 21221972›Full record

ArticleCurrent microbiology2011

Transcriptomic analysis for genetic mechanisms of the factors related to biofilm formation in Escherichia coli O157:H7.

Jin-Hyung Lee, Yong-Guy Kim, Moo Hwan Cho, Thomas K Wood, Jintae Lee

Open access · greenAbstract read
In one paragraph

Article in Current microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  5. Expression of Curli byFrontiers in cellular and infection microbiology · 2016
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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 2 institutions in 2 countries.

Jin-Hyung LeeSchool of Chemical Engineering, Yeungnam University, Gyeongsan-si Gyeongsangbuk-do 712-749, Korea.
Yong-Guy Kim
Moo Hwan Cho
Thomas K Wood
Jintae Lee
Yeungnam University · KRTexas A&M University · US

Funding

Re-Wiring Cellular Metabolism to Control Biofilm Formation and Virulence BY...R01GM089999 · NIGMS · TEXAS ENGINEERING EXPERIMENT STATION · PI WOOD, THOMAS K · 2009 to 2011
$846k
NIGMS NIH HHS R01 GM089999
6 · The paper itself

Abstract

Two lineages of enterohemorrhagic Escherichia coli O157:H7 (EDL933, Stx1(+) and Stx2(+)) and 86-24 (Stx2(+)) were investigated to determine the genetic basis of biofilm formation on abiotic surfaces. Strain EDL933 formed a robust biofilm while strain 86-24 formed almost no biofilm on either polystyrene plates or polyethylene tubes. Whole-transcriptome profiles of EDL933 versus 86-24 revealed that in the strong biofilm-forming strain, genes involved in curli biosynthesis and cellulose production were significantly induced, whereas genes involved in indole signaling were most repressed. Additionally, 49 phage genes were highly induced and repressed between the two strains. Curli assays using Congo red plates and scanning electron microscopy corroborated the microarray data as the EDL933 strain produced a large amount of curli, while strain 86-24 formed much less curli. Moreover, EDL933 produced 19-fold more cellulose than 86-24, and indole production in EDL933 was two times lower than that of the strain 86-24. Therefore, it appears E. coli O157:H7 EDL933 produces more biofilm because of its increased curli and cellulose production and reduced indole production.

Indexed as

BiofilmsBacterial ProteinsCelluloseEscherichia coli O157Escherichia coli ProteinsGene Expression ProfilingGene Expression Regulation, BacterialBacterial ProteinsCelluloseCrl protein, BacteriaEscherichia coli Proteins

Identifiers

PMID21221972
PMCPMC3158427
OpenAlexW2051375960

What OpenQuestion holds

Textmetadata
LicenceTDM
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.