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Lineage- and developmental stage-specific mechanomodulation of induced pluripotent stem cell differentiation

Overview of attention for article published in Stem Cell Research & Therapy, September 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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2 X users
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1 Wikipedia page

Citations

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27 Dimensions

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43 Mendeley
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Title
Lineage- and developmental stage-specific mechanomodulation of induced pluripotent stem cell differentiation
Published in
Stem Cell Research & Therapy, September 2017
DOI 10.1186/s13287-017-0667-2
Pubmed ID
Authors

Maricela Maldonado, Rebeccah J. Luu, Gerardo Ico, Alex Ospina, Danielle Myung, Hung Ping Shih, Jin Nam

Abstract

To maximize the translational utility of human induced pluripotent stem cells (iPSCs), the ability to precisely modulate the differentiation of iPSCs to target phenotypes is critical. Although the effects of the physical cell niche on stem cell differentiation are well documented, current approaches to direct step-wise differentiation of iPSCs have been typically limited to the optimization of soluble factors. In this regard, we investigated how temporally varied substrate stiffness affects the step-wise differentiation of iPSCs towards various lineages/phenotypes. Electrospun nanofibrous substrates with different reduced Young's modulus were utilized to subject cells to different mechanical environments during the differentiation process towards representative phenotypes from each of three germ layer derivatives including motor neuron, pancreatic endoderm, and chondrocyte. Phenotype-specific markers of each lineage/stage were utilized to determine differentiation efficiency by reverse-transcription polymerase chain reaction (RT-PCR) and immunofluorescence imaging for gene and protein expression analysis, respectively. The results presented in this proof-of-concept study are the first to systematically demonstrate the significant role of the temporally varied mechanical microenvironment on the differentiation of stem cells. Our results demonstrate that the process of differentiation from pluripotent cells to functional end-phenotypes is mechanoresponsive in a lineage- and differentiation stage-specific manner. Lineage/developmental stage-dependent optimization of electrospun substrate stiffness provides a unique opportunity to enhance differentiation efficiency of iPSCs for their facilitated therapeutic applications.

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

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Student > Bachelor 5 12%
Student > Master 4 9%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 4 9%
Unknown 8 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 23%
Engineering 7 16%
Medicine and Dentistry 5 12%
Agricultural and Biological Sciences 4 9%
Chemistry 2 5%
Other 4 9%
Unknown 11 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 April 2020.
All research outputs
#6,742,121
of 24,492,652 outputs
Outputs from Stem Cell Research & Therapy
#647
of 2,626 outputs
Outputs of similar age
#101,992
of 325,462 outputs
Outputs of similar age from Stem Cell Research & Therapy
#17
of 67 outputs
Altmetric has tracked 24,492,652 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,626 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 74% 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 325,462 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 68% of its contemporaries.
We're also able to compare this research output to 67 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 73% of its contemporaries.