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Integration-Free iPS Cells Engineered Using Human Artificial Chromosome Vectors

Overview of attention for article published in PLOS ONE, October 2011
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

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65 Dimensions

Readers on

mendeley
127 Mendeley
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1 CiteULike
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Title
Integration-Free iPS Cells Engineered Using Human Artificial Chromosome Vectors
Published in
PLOS ONE, October 2011
DOI 10.1371/journal.pone.0025961
Pubmed ID
Authors

Masaharu Hiratsuka, Narumi Uno, Kana Ueda, Hajime Kurosaki, Natsuko Imaoka, Kanako Kazuki, Etsuya Ueno, Yutaro Akakura, Motonobu Katoh, Mitsuhiko Osaki, Yasuhiro Kazuki, Masato Nakagawa, Shinya Yamanaka, Mitsuo Oshimura

Abstract

Human artificial chromosomes (HACs) have unique characteristics as gene-delivery vectors, including episomal transmission and transfer of multiple, large transgenes. Here, we demonstrate the advantages of HAC vectors for reprogramming mouse embryonic fibroblasts (MEFs) into induced pluripotent stem (iPS) cells. Two HAC vectors (iHAC1 and iHAC2) were constructed. Both carried four reprogramming factors, and iHAC2 also encoded a p53-knockdown cassette. iHAC1 partially reprogrammed MEFs, and iHAC2 efficiently reprogrammed MEFs. Global gene expression patterns showed that the iHACs, unlike other vectors, generated relatively uniform iPS cells. Under non-selecting conditions, we established iHAC-free iPS cells by isolating cells that spontaneously lost iHAC2. Analyses of pluripotent markers, teratomas and chimeras confirmed that these iHAC-free iPS cells were pluripotent. Moreover, iHAC-free iPS cells with a re-introduced HAC encoding Herpes Simplex virus thymidine kinase were eliminated by ganciclovir treatment, indicating that the HAC safeguard system functioned in iPS cells. Thus, the HAC vector could generate uniform, integration-free iPS cells with a built-in safeguard system.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Portugal 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 120 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 26%
Student > Ph. D. Student 29 23%
Student > Bachelor 15 12%
Student > Master 10 8%
Professor 8 6%
Other 18 14%
Unknown 14 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 47%
Biochemistry, Genetics and Molecular Biology 28 22%
Medicine and Dentistry 11 9%
Neuroscience 4 3%
Chemistry 2 2%
Other 6 5%
Unknown 16 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 16 October 2011.
All research outputs
#3,568,529
of 22,653,392 outputs
Outputs from PLOS ONE
#44,186
of 193,422 outputs
Outputs of similar age
#20,225
of 132,933 outputs
Outputs of similar age from PLOS ONE
#484
of 2,614 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 77% 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 132,933 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 84% of its contemporaries.
We're also able to compare this research output to 2,614 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.