↓ Skip to main content

Reprogramming of mouse somatic cells into pluripotent stem-like cells using a combination of small molecules

Overview of attention for article published in Clinical Materials, June 2014
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
twitter
16 X users
patent
1 patent

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Reprogramming of mouse somatic cells into pluripotent stem-like cells using a combination of small molecules
Published in
Clinical Materials, June 2014
DOI 10.1016/j.biomaterials.2014.05.015
Pubmed ID
Authors

Phil Jun Kang, Jai-Hee Moon, Byung Sun Yoon, Solji Hyeon, Eun Kyoung Jun, Gyuman Park, Wonjin Yun, Jiyong Park, Minji Park, Aeree Kim, Kwang Youn Whang, Gou Young Koh, Sejong Oh, Seungkwon You

Abstract

Somatic cells can be reprogrammed to generate induced pluripotent stem cells (iPSCs) by overexpression of four transcription factors, Oct4, Klf4, Sox2, and c-Myc. However, exogenous expression of pluripotency factors raised concerns for clinical applications. Here, we show that iPS-like cells (iPSLCs) were generated from mouse somatic cells in two steps with small molecule compounds. In the first step, stable intermediate cells were generated from mouse astrocytes by Bmi1. These cells called induced epiblast stem cell (EpiSC)-like cells (iEpiSCLCs) are similar to EpiSCs in terms of expression of specific markers, epigenetic state, and ability to differentiate into three germ layers. In the second step, treatment with MEK/ERK and GSK3 pathway inhibitors in the presence of leukemia inhibitory factor resulted in conversion of iEpiSCLCs into iPSLCs that were similar to mESCs, suggesting that Bmi1 is sufficient to reprogram astrocytes to partially reprogrammed pluripotency. Next, Bmi1 function was replaced with Shh activators (oxysterol and purmorphamine), which demonstrating that combinations of small molecules can compensate for reprogramming factors and are sufficient to directly reprogram mouse somatic cells into iPSLCs. The chemically induced pluripotent stem cell-like cells (ciPSLCs) showed similar gene expression profiles, epigenetic status, and differentiation potentials to mESCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
China 1 1%
Germany 1 1%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 22%
Student > Master 12 18%
Researcher 11 16%
Student > Bachelor 5 7%
Professor > Associate Professor 5 7%
Other 10 15%
Unknown 9 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 33%
Biochemistry, Genetics and Molecular Biology 13 19%
Medicine and Dentistry 11 16%
Neuroscience 3 4%
Chemistry 2 3%
Other 5 7%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 05 February 2022.
All research outputs
#1,948,314
of 25,374,647 outputs
Outputs from Clinical Materials
#345
of 10,751 outputs
Outputs of similar age
#18,954
of 241,454 outputs
Outputs of similar age from Clinical Materials
#4
of 156 outputs
Altmetric has tracked 25,374,647 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 10,751 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 96% 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 241,454 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 92% of its contemporaries.
We're also able to compare this research output to 156 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 97% of its contemporaries.