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A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions

Overview of attention for article published in BMC Systems Biology, May 2017
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Title
A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions
Published in
BMC Systems Biology, May 2017
DOI 10.1186/s12918-017-0429-x
Pubmed ID
Authors

Tao Peng, Linan Liu, Adam L MacLean, Chi Wut Wong, Weian Zhao, Qing Nie

Abstract

Mechanical and biophysical properties of the cellular microenvironment regulate cell fate decisions. Mesenchymal stem cell (MSC) fate is influenced by past mechanical dosing (memory), but the mechanisms underlying this process have not yet been well defined. We have yet to understand how memory affects specific cell fate decisions, such as the differentiation of MSCs into neurons, adipocytes, myocytes, and osteoblasts. We study a minimal gene regulatory network permissive of multi-lineage MSC differentiation into four cell fates. We present a continuous model that is able to describe the cell fate transitions that occur during differentiation, and analyze its dynamics with tools from multistability, bifurcation, and cell fate landscape analysis, and via stochastic simulation. Whereas experimentally, memory has only been observed during osteogenic differentiation, this model predicts that memory regions can exist for each of the four MSC-derived cell lineages. We can predict the substrate stiffness ranges over which memory drives differentiation; these are directly testable in an experimental setting. Furthermore, we quantitatively predict how substrate stiffness and culture duration co-regulate the fate of a stem cell, and we find that the feedbacks from the differentiating MSC onto its substrate are critical to preserve mechanical memory. Strikingly, we show that re-seeding MSCs onto a sufficiently soft substrate increases the number of cell fates accessible. Control of MSC differentiation is crucial for the success of much-lauded regenerative therapies based on MSCs. We have predicted new memory regions that will directly impact this control, and have quantified the size of the memory region for osteoblasts, as well as the co-regulatory effects on cell fates of substrate stiffness and culture duration. Taken together, these results can be used to develop novel strategies to better control the fates of MSCs in vitro and following transplantation.

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The data shown below were collected from the profiles of 7 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Researcher 12 11%
Student > Bachelor 11 10%
Student > Doctoral Student 8 7%
Student > Master 7 6%
Other 15 14%
Unknown 26 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 19%
Engineering 15 14%
Agricultural and Biological Sciences 10 9%
Materials Science 6 6%
Medicine and Dentistry 5 5%
Other 21 19%
Unknown 31 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 January 2018.
All research outputs
#7,251,845
of 24,137,933 outputs
Outputs from BMC Systems Biology
#257
of 1,134 outputs
Outputs of similar age
#108,473
of 314,307 outputs
Outputs of similar age from BMC Systems Biology
#9
of 20 outputs
Altmetric has tracked 24,137,933 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,134 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 77% 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 314,307 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 20 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 60% of its contemporaries.