Evidence map›Paper›PMID 21187915›Full record

ArticlePloS one2010

Specificity of the E. coli LysR-type transcriptional regulators.

Gwendowlyn S Knapp, James C Hu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Gwendowlyn S KnappDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas, United States of America.
James C Hu
Texas A&M University · US

Funding

Protein Self-Assembly in Model MicroorganismsR01GM063652 · NIGMS · TEXAS A&M UNIVERSITY SYSTEM · PI HU, JAMES C · 2001 to 2004
$1.1M
NIGMS NIH HHS R01 GM063652NIGMS NIH HHS R01 GM63652
6 · The paper itself

Abstract

backgroundFamilies of paralogous oligomeric proteins are common in biology. How the specificity of assembly evolves is a fundamental question of biology. The LysR-Type Transcriptional Regulators (LTTR) form perhaps the largest family of transcriptional regulators in bacteria. Because genomes often encode many LTTR family members, it is assumed that many distinct homooligomers are formed simultaneously in the same cell without interfering with each other's activities, suggesting specificity in the interactions. However, this assumption has not been systematically tested. METHODOLOGY/PRINCIPAL

findingsA negative-dominant assay with λcI repressor fusions was used to evaluate the assembly of the LTTRs in E. coli K-12. Thioredoxin (Trx)-LTTR fusions were used to challenge the homooligomeric interactions of λcI-LTTR fusions. Eight cI-LTTR fusions were challenged with twenty-eight Trx fusions. LTTRs could be divided into three classes based on their interactions with other LTTRs. CONCLUSIONS/SIGNIFICANCE: Multimerization of LTTRs in E. coli K-12 is mostly specific. However, under the conditions of the assay, many LTTRs interact with more than one noncognate partner. The physiological significance and physical basis for these interactions are not known.

Indexed as

Gene Expression Regulation, BacterialBacterial ProteinsCrosses, GeneticDimerizationDNAEscherichia coliEvolution, MolecularGenes, DominantGenome, BacterialModels, GeneticOpen Reading FramesPhenotypePhylogenyPlasmidsProtein Structure, TertiaryRecombinant Fusion ProteinsBacterial ProteinsDNALysR protein, BacteriaRecombinant Fusion ProteinsThioredoxinsTranscription Factors

Identifiers

PMID21187915
PMCPMC3004787
OpenAlexW1995359902

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.