Evidence map›Paper›PMID 15824058›Full record

ArticleNucleic acids research2005

A dual-light reporter system to determine the efficiency of protein-protein interactions in mammalian cells.

M T Nasim, R C Trembath

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. 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
–field-weighted citation impact
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. 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

2 authors.

M T NasimDepartment of Genetics, University of Leicester, Leicester LE1 7RH, UK. mtn4@le.ac.uk
R C Trembath

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods for determining protein-protein interactions in mammalian cells typically rely on single reporter functions and are susceptible to variations between samples particularly in regard to levels of transcription, processing and translation. A method has been developed for determining protein-protein interactions in mammalian cells, which bypasses these variables confounding single reporter assays. The approach utilizes two units of gene expression linked to reporter functions that are interposed by a deactivation-activation unit in such a way that the downstream expression unit is switched off. Hence upstream expression occurs regardless of protein-protein interaction, leading to the production of the upstream reporter. In the event of protein-protein interactions, the downstream expression unit is switched on leading to dual reporter read outs. Thus, the ratio of the two reporter activities provides a measure to determine the efficiency of protein-protein interactions. To access the system we screened a mutant of BMPR2 where the interaction between BMPR-II and LIMK is abrogated. BMPR-II is a type II receptor of the TGFbeta superfamily and plays a key role in the pathogenesis of familial pulmonary arterial hypertension. This system has potential for high-throughput screening of libraries (peptide, chemical, cDNA, etc.) to isolate agents that are capable of interfering with highly selective protein-protein interaction.

Indexed as

Genes, Reporterbeta-GalactosidaseBone Morphogenetic Protein Receptors, Type IICell LineFluorescent DyesHumansLuciferasesMicroscopy, FluorescenceProtein Interaction MappingProtein Serine-Threonine KinasesRecombinant Fusion Proteinsbeta-GalactosidaseBMPR2 protein, humanBone Morphogenetic Protein Receptors, Type IIFluorescent DyesLuciferasesProtein Serine-Threonine KinasesRecombinant Fusion Proteins

Identifiers

PMID15824058
PMCPMC1075926

What OpenQuestion holds

Textmetadata
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.