↓ Skip to main content

Michigan Publishing

Mechanics-guided embryonic patterning of neuroectoderm tissue from human pluripotent stem cells

Overview of attention for article published in Nature Materials, May 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
289 Mendeley
Title
Mechanics-guided embryonic patterning of neuroectoderm tissue from human pluripotent stem cells
Published in
Nature Materials, May 2018
DOI 10.1038/s41563-018-0082-9
Pubmed ID
Authors

Xufeng Xue, Yubing Sun, Agnes M. Resto-Irizarry, Ye Yuan, Koh Meng Aw Yong, Yi Zheng, Shinuo Weng, Yue Shao, Yimin Chai, Lorenz Studer, Jianping Fu

Abstract

Classic embryological studies have successfully applied genetics and cell biology principles to understand embryonic development. However, it remains unresolved how mechanics, as an integral driver of development, is involved in controlling tissue-scale cell fate patterning. Here we report a micropatterned human pluripotent stem (hPS)-cell-based neuroectoderm developmental model, in which pre-patterned geometrical confinement induces emergent patterning of neuroepithelial and neural plate border cells, mimicking neuroectoderm regionalization during early neurulation in vivo. In this hPS-cell-based neuroectoderm patterning model, two tissue-scale morphogenetic signals-cell shape and cytoskeletal contractile force-instruct neuroepithelial/neural plate border patterning via BMP-SMAD signalling. We further show that ectopic mechanical activation and exogenous BMP signalling modulation are sufficient to perturb neuroepithelial/neural plate border patterning. This study provides a useful microengineered, hPS-cell-based model with which to understand the biomechanical principles that guide neuroectoderm patterning and hence to study neural development and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 289 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 289 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 22%
Researcher 53 18%
Student > Master 29 10%
Student > Doctoral Student 24 8%
Student > Bachelor 22 8%
Other 42 15%
Unknown 55 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 26%
Engineering 37 13%
Agricultural and Biological Sciences 30 10%
Materials Science 19 7%
Neuroscience 14 5%
Other 41 14%
Unknown 72 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 63. 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 07 February 2024.
All research outputs
#689,598
of 25,656,290 outputs
Outputs from Nature Materials
#683
of 4,393 outputs
Outputs of similar age
#15,068
of 344,868 outputs
Outputs of similar age from Nature Materials
#23
of 74 outputs
Altmetric has tracked 25,656,290 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 4,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.0. This one has done well, scoring higher than 84% 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 344,868 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 95% of its contemporaries.
We're also able to compare this research output to 74 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 68% of its contemporaries.