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Identification of a small molecule that facilitates the differentiation of human iPSCs/ESCs and mouse embryonic pancreatic explants into pancreatic endocrine cells

Overview of attention for article published in Diabetologia, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
12 X users
patent
3 patents
facebook
1 Facebook page

Citations

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21 Dimensions

Readers on

mendeley
78 Mendeley
Title
Identification of a small molecule that facilitates the differentiation of human iPSCs/ESCs and mouse embryonic pancreatic explants into pancreatic endocrine cells
Published in
Diabetologia, May 2017
DOI 10.1007/s00125-017-4302-7
Pubmed ID
Authors

Yasushi Kondo, Taro Toyoda, Ryo Ito, Michinori Funato, Yoshiya Hosokawa, Satoshi Matsui, Tomomi Sudo, Masahiro Nakamura, Chihiro Okada, Xiaotong Zhuang, Akira Watanabe, Akira Ohta, Nobuya Inagaki, Kenji Osafune

Abstract

Pancreatic beta-like cells generated from human induced pluripotent stem cells (hiPSCs) or human embryonic stem cells (hESCs) offer an appealing donor tissue source. However, differentiation protocols that mainly use growth factors are costly. Therefore, in this study, we aimed to establish efficient differentiation protocols to change hiPSCs/hESCs to insulin (INS)(+) cells using novel small-molecule inducers. We screened small molecules that increased the induction rate of INS(+) cells from hESC-derived pancreatic and duodenal homeobox 1 (PDX1)(+) pancreatic progenitor cells. The differentiation protocol to generate INS(+) cells from hiPSCs/hESCs was optimised using hit compounds, and INS(+) cells induced with the compounds were characterised for their in vitro and in vivo functions. The inducing activity of the hit compounds was also examined using mouse embryonic pancreatic tissues in an explant culture system. Finally, RNA sequencing analyses were performed on the INS(+) cells to elucidate the mechanisms of action by which the hit compounds induced pancreatic endocrine differentiation. One hit compound, sodium cromoglicate (SCG), was identified out of approximately 1250 small molecules screened. When SCG was combined with a previously described protocol, the induction rate of INS(+) cells increased from a mean ± SD of 5.9 ± 1.5% (n = 3) to 16.5 ± 2.1% (n = 3). SCG induced neurogenin 3-positive cells at a mean ± SD of 32.6 ± 4.6% (n = 3) compared with 14.2 ± 3.6% (n = 3) for control treatment without SCG, resulting in an increased generation of endocrine cells including insulin-producing cells. Similar induction by SCG was confirmed using mouse embryonic pancreatic explants. We also confirmed that the mechanisms of action by which SCG induced pancreatic endocrine differentiation included the inhibition of bone morphogenetic protein 4 signalling. SCG improves the generation of pancreatic endocrine cells from multiple hiPSC/hESC lines and mouse embryonic pancreatic explants by facilitating the differentiation of endocrine precursors. This discovery will contribute to elucidating the mechanisms of pancreatic endocrine development and facilitate cost-effective generation of INS(+) cells from hiPSCs/hESCs. The RNA sequencing data generated during the current study are available in the Gene Expression Omnibus ( www.ncbi.nlm.nih.gov/geo ) with series accession number GSE89973.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 13 17%
Student > Bachelor 11 14%
Student > Master 7 9%
Professor > Associate Professor 6 8%
Other 14 18%
Unknown 13 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 31%
Medicine and Dentistry 11 14%
Agricultural and Biological Sciences 10 13%
Engineering 5 6%
Immunology and Microbiology 3 4%
Other 7 9%
Unknown 18 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 February 2023.
All research outputs
#1,778,084
of 25,365,817 outputs
Outputs from Diabetologia
#940
of 5,343 outputs
Outputs of similar age
#33,117
of 320,190 outputs
Outputs of similar age from Diabetologia
#20
of 63 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. This one has done well, scoring higher than 82% 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 320,190 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 63 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 69% of its contemporaries.