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Development of a Platform for Studying 3D Astrocyte Mechanobiology: Compression of Astrocytes in Collagen Gels

Overview of attention for article published in Annals of Biomedical Engineering, November 2017
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Title
Development of a Platform for Studying 3D Astrocyte Mechanobiology: Compression of Astrocytes in Collagen Gels
Published in
Annals of Biomedical Engineering, November 2017
DOI 10.1007/s10439-017-1967-5
Pubmed ID
Authors

John J. E. Mulvihill, Julia Raykin, Eric J. Snider, Lisa A. Schildmeyer, Irsham Zaman, Manu O. Platt, Daniel J. Kelly, C. Ross Ethier

Abstract

Glaucoma is a common optic neuropathy characterized by retinal ganglion cell death. Elevated intraocular pressure (IOP), a key risk factor for glaucoma, leads to significant biomechanical deformation of optic nerve head (ONH) cells and tissues. ONH astrocytes respond to this deformation by transforming to a reactive, proliferative phenotype, which has been implicated in the progression of glaucomatous vision loss. However, little is known about the mechanisms of this transformation. In this study, we developed a 3D collagen gel culture system to mimic features of ONH deformation due to elevated IOP. Compressive loading of astrocyte-seeded collagen gels led to cell alignment perpendicular to the direction of strain, and increased astrocyte activation, as assayed by GFAP, vimentin, and s100β levels, as well as MMP activity. This proof-of-concept study shows that this system has potential for studying mechanisms of astrocyte mechanobiology as related to the pathogenesis of glaucoma. Further work is needed to establish the possible interplay of mechanical stimulation, matrix properties, and hypoxia on the observed response of astrocytes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Researcher 5 14%
Student > Bachelor 4 11%
Professor > Associate Professor 3 9%
Professor 3 9%
Other 5 14%
Unknown 9 26%
Readers by discipline Count As %
Engineering 7 20%
Neuroscience 4 11%
Agricultural and Biological Sciences 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 12 34%
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 29 November 2017.
All research outputs
#23,320,957
of 25,988,468 outputs
Outputs from Annals of Biomedical Engineering
#1,255
of 1,255 outputs
Outputs of similar age
#390,353
of 450,691 outputs
Outputs of similar age from Annals of Biomedical Engineering
#1
of 1 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,255 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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