Evidence map›Paper›PMID 19141658›Full record

ReviewMolecular pharmacology2009

Fluorescent and bioluminescent protein-fragment complementation assays in the study of G protein-coupled receptor oligomerization and signaling.

Pierre-Alexandre Vidi, Val J Watts

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular pharmacology, 2009. 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
3.4field-weighted citation impact, top 7% 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, 46 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Surveying the landscape of optogenetic methods for detection of protein-protein interactions.Wiley interdisciplinary reviews. Systems biology and medicine · 2018
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Oligomeric forms of G protein-coupled receptors (GPCRs).Trends in biochemical sciences · 2010
    Article
  16. Article
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Pierre-Alexandre VidiDepartment of Medicinal Chemistry and Molecular Pharmacology, School of Pharmacy and Pharmaceutical Sciences, Purdue University, West Lafayette, Indiana 47907-2051, USA.
Val J Watts
Purdue University West Lafayette · US

Funding

D2 RECEPTOR-INDUCED SENSITIZATION OF ADENYLATE CYCLASER01MH060397 · NIMH · PURDUE UNIVERSITY WEST LAFAYETTE · PI DESSAUER, CARMEN W., WATTS, VAL J · 2000 to 2012
$3.0M
NIMH NIH HHS MH060397
6 · The paper itself

Abstract

Most cellular functions, including signaling by G protein-coupled receptors (GPCRs), are mediated by protein-protein interactions, making the identification and localization of protein complexes key to the understanding of cellular processes. In complement to traditional biochemical techniques, noninvasive resonance energy transfer (RET) and protein-fragment complementation assays (PCAs) now allow protein interactions to be detected in the context of living cells. In this review, fluorescent and bioluminescent PCAs are discussed and their application illustrated with studies on GPCR signaling. Newly developed techniques combining PCA and RET assays for the detection of ternary and quaternary protein complexes are also presented.

Indexed as

AnimalsGenetic Complementation TestGreen Fluorescent ProteinsHumansLuminescent ProteinsProtein Interaction MappingReceptors, G-Protein-CoupledSignal TransductionGreen Fluorescent ProteinsLuminescent ProteinsReceptors, G-Protein-Coupled

Identifiers

PMID19141658
PMCPMC2684918
OpenAlexW2135695731

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.