↓ Skip to main content

Localized Lipid Packing of Transmembrane Domains Impedes Integrin Clustering

Overview of attention for article published in PLoS Computational Biology, March 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
59 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
Localized Lipid Packing of Transmembrane Domains Impedes Integrin Clustering
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002948
Pubmed ID
Authors

Mehrdad Mehrbod, Mohammad R. K. Mofrad

Abstract

Integrin clustering plays a pivotal role in a host of cell functions. Hetero-dimeric integrin adhesion receptors regulate cell migration, survival, and differentiation by communicating signals bidirectionally across the plasma membrane. Thus far, crystallographic structures of integrin components are solved only separately, and for some integrin types. Also, the sequence of interactions that leads to signal transduction remains ambiguous. Particularly, it remains controversial whether the homo-dimerization of integrin transmembrane domains occurs following the integrin activation (i.e. when integrin ectodomain is stretched out) or if it regulates integrin clustering. This study employs molecular dynamics modeling approaches to address these questions in molecular details and sheds light on the crucial effect of the plasma membrane. Conducting a normal mode analysis of the intact αllbβ3 integrin, it is demonstrated that the ectodomain and transmembrane-cytoplasmic domains are connected via a membrane-proximal hinge region, thus merely transmembrane-cytoplasmic domains are modeled. By measuring the free energy change and force required to form integrin homo-oligomers, this study suggests that the β-subunit homo-oligomerization potentially regulates integrin clustering, as opposed to α-subunit, which appears to be a poor regulator for the clustering process. If α-subunits are to regulate the clustering they should overcome a high-energy barrier formed by a stable lipid pack around them. Finally, an outside-in activation-clustering scenario is speculated, explaining how further loading the already-active integrin affects its homo-oligomerization so that focal adhesions grow in size.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
United Kingdom 2 3%
Germany 1 2%
Finland 1 2%
France 1 2%
Japan 1 2%
Italy 1 2%
Unknown 48 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 39%
Researcher 11 19%
Student > Doctoral Student 6 10%
Student > Bachelor 5 8%
Student > Master 4 7%
Other 7 12%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 39%
Biochemistry, Genetics and Molecular Biology 13 22%
Engineering 10 17%
Chemistry 3 5%
Computer Science 2 3%
Other 5 8%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 21 August 2014.
All research outputs
#1,428,336
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#1,196
of 8,964 outputs
Outputs of similar age
#10,899
of 209,310 outputs
Outputs of similar age from PLoS Computational Biology
#14
of 152 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 86% 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 209,310 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.