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Nuclear reprogramming with a non-integrating human RNA virus

Overview of attention for article published in Stem Cell Research & Therapy, March 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
patent
1 patent

Citations

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13 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Nuclear reprogramming with a non-integrating human RNA virus
Published in
Stem Cell Research & Therapy, March 2015
DOI 10.1186/s13287-015-0035-z
Pubmed ID
Authors

Christopher B Driscoll, Jason M Tonne, Moustafa El Khatib, Roberto Cattaneo, Yasuhiro Ikeda, Patricia Devaux

Abstract

Advances in the field of stem cells have led to novel avenues for generating induced pluripotent stem cells (iPSCs) from differentiated somatic cells. iPSCs are typically obtained by the introduction of the four factors OCT4, SOX2, KLF4, and cMYC, via integrating vectors. Here, we report the feasibility of a novel reprogramming process based on vectors derived from the non-integrating vaccine strain of measles virus (MV). We produced a one-cycle MV vector by substituting the viral attachment protein gene with the green fluorescent protein (GFP) gene. This vector was further engineered to encode for OCT4 in an additional transcription unit. After verification of OCT4 expression, we assessed the ability of iPSC reprogramming. The reprogramming vector cocktail with the OCT4-expressing MV vector and SOX2-, KLF4- and cMYC-expressing lentiviral vectors efficiently transduced human skin fibroblasts and formed iPSC colonies. RT-PCR and immunostaining confirmed induction of endogenous pluripotency-associated marker genes, such as SSEA4, TRA-1-60 and Nanog. Pluripotency of derived clones was confirmed by spontaneous differentiation into three germ layers, teratoma formation and guided differentiation into beating cardiomyocytes. MV vectors can induce efficient nuclear reprogramming. Given the excellent safety record of MV vaccines and the translational capabilities recently developed to produce MV-based vectors now used for cancer clinical trials, our MV vector system provides a RNA-based, non-integrating gene transfer platform for nuclear reprogramming that is amenable for immediate clinical translation.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 30%
Student > Ph. D. Student 6 20%
Student > Bachelor 4 13%
Student > Master 3 10%
Other 2 7%
Other 2 7%
Unknown 4 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 27%
Agricultural and Biological Sciences 8 27%
Medicine and Dentistry 3 10%
Chemical Engineering 2 7%
Psychology 2 7%
Other 2 7%
Unknown 5 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 08 August 2018.
All research outputs
#2,511,342
of 23,577,654 outputs
Outputs from Stem Cell Research & Therapy
#180
of 2,495 outputs
Outputs of similar age
#33,416
of 264,696 outputs
Outputs of similar age from Stem Cell Research & Therapy
#8
of 66 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% 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 264,696 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 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.