Evidence map›Paper›PMID 34437405›Full record

ArticleToxins2021

Scalable Reporter Assays to Analyze the Regulation of

Martin B Koeppel, Jana Glaser, Tobias Baumgartner, Stefanie Spriewald, Roman G Gerlach, Benedikt von Armansperg, John M Leong, Bärbel Stecher

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

8 authors at 3 institutions in 2 countries.

Martin B KoeppelMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.
Jana GlaserMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.
Tobias BaumgartnerMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.
Stefanie SpriewaldMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.
Roman G GerlachMikrobiologisches Institut-Klinische Mikrobiologie, Immunologie und Hygiene, Universitätsklinikum Erlangen and Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Wasserturmstraße 3/5, 91054 Erlangen, Germany.ORCID 0000-0002-5718-4758
Benedikt von ArmanspergMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.ORCID 0000-0002-4717-0176
John M LeongDepartment of Molecular Biology and Microbiology, Tufts University School of Medicine, 136 Harrison Ave, Boston, MA 02111, USA.
Bärbel StecherMax-von-Pettenkofer Institute, LMU Munich, Pettenkoferstr. 9a, 80336 Munich, Germany.
German Center for Infection Research · DETufts University · USUniversitätsklinikum Erlangen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stx2 is the major virulence factor of EHEC and is associated with an increased risk for HUS in infected patients. The conditions influencing its expression in the intestinal tract are largely unknown. For optimal management and treatment of infected patients, the identification of environmental conditions modulating Stx2 levels in the human gut is of central importance. In this study, we established a set of chromosomal

Indexed as

Biological AssayAnimalsChlorocebus aethiopsCitrobacter rodentiumEscherichia coliGene Expression Regulation, BacterialGenes, ReporterGreen Fluorescent ProteinsLuciferasesShiga Toxin 2Vero CellsGreen Fluorescent ProteinsLuciferasesShiga Toxin 2E. coliEHEChemolytic–uremic syndromeHUSHUSECSTEC

Identifiers

PMID34437405
PMCPMC8402550
OpenAlexW3192488423

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.