↓ Skip to main content

Matricryptins Network with Matricellular Receptors at the Surface of Endothelial and Tumor Cells

Overview of attention for article published in Frontiers in Pharmacology, February 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
51 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
Matricryptins Network with Matricellular Receptors at the Surface of Endothelial and Tumor Cells
Published in
Frontiers in Pharmacology, February 2016
DOI 10.3389/fphar.2016.00011
Pubmed ID
Authors

Sylvie Ricard-Blum, Sylvain D. Vallet

Abstract

The extracellular matrix (ECM) is a source of bioactive fragments called matricryptins or matrikines resulting from the proteolytic cleavage of extracellular proteins (e.g., collagens, elastin, and laminins) and proteoglycans (e.g., perlecan). Matrix metalloproteinases (MMPs), cathepsins, and bone-morphogenetic protein-1 release fragments, which regulate physiopathological processes including tumor growth, metastasis, and angiogenesis, a pre-requisite for tumor growth. A number of matricryptins, and/or synthetic peptides derived from them, are currently investigated as potential anti-cancer drugs both in vitro and in animal models. Modifications aiming at improving their efficiency and their delivery to their target cells are studied. However, their use as drugs is not straightforward. The biological activities of these fragments are mediated by several receptor families. Several matricryptins may bind to the same matricellular receptor, and a single matricryptin may bind to two different receptors belonging or not to the same family such as integrins and growth factor receptors. Furthermore, some matricryptins interact with each other, integrins and growth factor receptors crosstalk and a signaling pathway may be regulated by several matricryptins. This forms an intricate 3D interaction network at the surface of tumor and endothelial cells, which is tightly associated with other cell-surface associated molecules such as heparan sulfate, caveolin, and nucleolin. Deciphering the molecular mechanisms underlying the behavior of this network is required in order to optimize the development of matricryptins as anti-cancer agents.

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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Master 9 18%
Student > Ph. D. Student 8 16%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 3 6%
Unknown 13 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 29%
Agricultural and Biological Sciences 11 22%
Medicine and Dentistry 5 10%
Immunology and Microbiology 2 4%
Arts and Humanities 1 2%
Other 3 6%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 April 2016.
All research outputs
#18,437,241
of 22,842,950 outputs
Outputs from Frontiers in Pharmacology
#8,249
of 16,088 outputs
Outputs of similar age
#287,319
of 397,006 outputs
Outputs of similar age from Frontiers in Pharmacology
#53
of 86 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,088 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 397,006 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.