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Variability in the Generation of Induced Pluripotent Stem Cells: Importance for Disease Modeling

Overview of attention for article published in Stem Cells Translational Medicine, September 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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1 news outlet
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2 X users
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1 Facebook page

Citations

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67 Dimensions

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99 Mendeley
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Title
Variability in the Generation of Induced Pluripotent Stem Cells: Importance for Disease Modeling
Published in
Stem Cells Translational Medicine, September 2012
DOI 10.5966/sctm.2012-0043
Pubmed ID
Authors

Alejandra M. Vitale, Nicholas A. Matigian, Sugandha Ravishankar, Bernadette Bellette, Stephen A. Wood, Ernst J. Wolvetang, Alan Mackay-Sim

Abstract

In the field of disease modeling, induced pluripotent stem cells (iPSCs) have become an appealing choice, especially for diseases that do not have an animal model. They can be generated from patients with known clinical features and compared with cells from healthy controls to identify the biological bases of disease. This study was undertaken to determine the variability in iPSC lines derived from different individuals, with the aim of determining criteria for selecting iPSC lines for disease models. We generated and characterized 18 iPSC lines from eight donors and considered variability at three levels: (a) variability in the criteria that define iPSC lines as pluripotent cells, (b) variability in cell lines from different donors, and (c) variability in cell lines from the same donor. We found that variability in transgene expression and pluripotency marker levels did not prevent iPSCs from fulfilling all other criteria for pluripotency, including teratoma formation. We found low interindividual and interclonal variability in iPSCs that fulfilled the most stringent criteria for pluripotency, with very high correlation in their gene expression profiles. Interestingly, some cell lines exhibited reprogramming instability, spontaneously regressing from a fully to a partially reprogrammed state. This was associated with a low percentage of cells expressing the pluripotency marker stage-specific embryonic antigen-4. Our study shows that it is possible to define a similar "ground state" for each cell line as the basis for making patient versus control comparisons, an essential step in order to identify disease-associated variability above individual and cell line variability.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Australia 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 22%
Researcher 15 15%
Student > Bachelor 13 13%
Student > Master 8 8%
Student > Doctoral Student 7 7%
Other 13 13%
Unknown 21 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 31%
Biochemistry, Genetics and Molecular Biology 21 21%
Neuroscience 14 14%
Medicine and Dentistry 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 2 2%
Unknown 23 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 2017.
All research outputs
#2,859,499
of 22,687,320 outputs
Outputs from Stem Cells Translational Medicine
#385
of 1,515 outputs
Outputs of similar age
#20,163
of 169,019 outputs
Outputs of similar age from Stem Cells Translational Medicine
#4
of 11 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,515 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.5. 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 169,019 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 87% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.