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Harnessing cellular-derived forces in self-assembled microtissues to control the synthesis and alignment of ECM

Overview of attention for article published in Biomaterials, November 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
8 news outlets
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3 X users
patent
1 patent

Readers on

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105 Mendeley
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Article details
Title
Harnessing cellular-derived forces in self-assembled microtissues to control the synthesis and alignment of ECM
Published in
Biomaterials, November 2015
DOI 10.1016/j.biomaterials.2015.10.080
Pubmed ID
Authors
Abstract

The alignment and blend of extracellular matrix (ECM) proteins give a tissue its specific mechanical properties as well as its physiological function. Various tissue engineering methods have taken purified ECM proteins and aligned them into gels, sponges and threads. Although, each of these methods has created aligned ECM, they have had many limitations including loss of hierarchal collagen structure and poor mechanical performance. Here, we have developed a new method to control ECM synthesis using self-assembled cells. Cells were seeded into custom designed, scaffold-free, micro-molds with fixed obstacles that harnessed and directed cell-mediated stresses. Cells within the microtissue reacted to self-generated tension by aligning, elongating, and synthesizing an ECM whose organization was dictated by the strain field that was set by our micro-mold design. We have shown that through cell selection, we can create tissues with aligned collagen II or aligned elastin. We have also demonstrated that these self-assembled microtissues have mechanical properties in the range of natural tissues and that mold design can be used to further tailor these mechanical properties.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 104 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 24%
Student > Master 16 15%
Student > Bachelor 10 10%
Professor 9 9%
Student > Doctoral Student 8 8%
Other 15 14%
Unknown 22 21%
Readers by discipline
Readers by discipline Count As %
Engineering 30 29%
Agricultural and Biological Sciences 13 12%
Biochemistry, Genetics and Molecular Biology 11 10%
Medicine and Dentistry 6 6%
Chemistry 3 3%
Other 12 11%
Unknown 30 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 61. 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 23 December 2025.
All research outputs
#831,386
of 29,944,110 outputs
Outputs from Biomaterials
#139
of 11,407 outputs
Outputs of similar age
#9,622
of 300,166 outputs
Outputs of similar age from Biomaterials
#7
of 125 outputs
Altmetric has tracked 29,944,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,407 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 98% 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 300,166 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 96% of its contemporaries.
We're also able to compare this research output to 125 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 94% of its contemporaries.