↓ Skip to main content

Chemical crosslinkers enhance detection of receptor interactomes

Overview of attention for article published in Frontiers in Pharmacology, January 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
126 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Chemical crosslinkers enhance detection of receptor interactomes
Published in
Frontiers in Pharmacology, January 2014
DOI 10.3389/fphar.2013.00171
Pubmed ID
Authors

Brian A. Corgiat, Jacob C. Nordman, Nadine Kabbani

Abstract

Receptor function is dependent on interaction with various intracellular proteins that ensure the localization and signaling of the receptor. While a number of approaches have been optimized for the isolation, purification, and proteomic characterization of receptor-protein interaction networks (interactomes) in cells, the capture of receptor interactomes and their dynamic properties remains a challenge. In particular, the study of interactome components that bind to the receptor with low affinity or can rapidly dissociate from the macromolecular complex is difficult. Here we describe how chemical crosslinking (CC) can aid in the isolation and proteomic analysis of receptor-protein interactions. The addition of CC to standard affinity purification and mass spectrometry protocols boosts the power of protein capture within the proteomic assay and enables the identification of specific binding partners under various cellular and receptor states. The utility of CC in receptor interactome studies is highlighted for the nicotinic acetylcholine receptor as well as several other receptor types. A better understanding of receptors and their interactions with proteins spearheads molecular biology, informs an integral part of bench medicine which helps in drug development, drug action, and understanding the pathophysiology of disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 120 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 33%
Researcher 31 25%
Student > Bachelor 11 9%
Student > Doctoral Student 8 6%
Student > Master 8 6%
Other 11 9%
Unknown 15 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 33%
Biochemistry, Genetics and Molecular Biology 37 29%
Chemistry 8 6%
Neuroscience 5 4%
Medicine and Dentistry 4 3%
Other 12 10%
Unknown 18 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2014.
All research outputs
#12,697,500
of 22,738,543 outputs
Outputs from Frontiers in Pharmacology
#3,402
of 15,981 outputs
Outputs of similar age
#154,522
of 305,211 outputs
Outputs of similar age from Frontiers in Pharmacology
#15
of 40 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,981 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 305,211 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.