Evidence map›Paper›PMID 32046850›Full record

ArticleMethods in enzymology2020

Site-directed labeling of β-arrestin with monobromobimane for measuring their interaction with G protein-coupled receptors.

Ashish Srivastava, Mithu Baidya, Hemlata Dwivedi-Agnihotri, Arun K Shukla

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Ashish SrivastavaDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.
Mithu BaidyaDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.
Hemlata Dwivedi-AgnihotriDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.
Arun K ShuklaDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India. Electronic address: arshukla@iitk.ac.in.
Indian Institute of Technology Kanpur · IN

Funding

DBT-Wellcome Trust India Alliance IA/E/17/1/503687DBT-Wellcome Trust India Alliance IA/I/14/1/501285Wellcome Trust
6 · The paper itself

Abstract

β-arrestins (βarrs) are multifunctional proteins that interact with activated and phosphorylated G protein-coupled receptors (GPCRs) to regulate their signaling and trafficking. Understanding the intricate details of GPCR-βarr interaction continues to be a key research area in the field of GPCR biology. Bimane fluorescence spectroscopy has been one of the key approaches among a broad range of methods employed to study GPCR-βarr interaction using purified and reconstituted system. Here, we present a step-by-step protocol for labeling βarrs with monobromobimane (mBBr) in a site-directed fashion for measuring their interaction with GPCRs and the resulting conformational changes. This simple protocol can be directly applied to other protein-protein interaction modules as well for measuring interactions and conformational changes in reconstituted systems in vitro.

Indexed as

beta-ArrestinsBiofilmsBioreactorsBridged Bicyclo CompoundsReceptors, G-Protein-CoupledGTP-Binding Proteinsbeta-ArrestinsBridged Bicyclo CompoundsGTP-Binding ProteinsmonobromobimaneReceptors, G-Protein-CoupledBiased agonismBimaneDrug discoveryFluorescence spectroscopyGPCRsProtein–protein interactionβ-Arrestins

Identifiers

PMID32046850
PMCPMC7217711
OpenAlexW2993217634

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.