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Generation of Induced Pluripotent Stem Cells from CD34+ Cells across Blood Drawn from Multiple Donors with Non-Integrating Episomal Vectors

Overview of attention for article published in PLOS ONE, November 2011
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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1 blog
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1 X user
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10 patents

Citations

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82 Dimensions

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125 Mendeley
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Title
Generation of Induced Pluripotent Stem Cells from CD34+ Cells across Blood Drawn from Multiple Donors with Non-Integrating Episomal Vectors
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027956
Pubmed ID
Authors

Amanda A. Mack, Stacie Kroboth, Deepika Rajesh, Wen Bo Wang

Abstract

The methodology to create induced pluripotent stem cells (iPSCs) affords the opportunity to generate cells specific to the individual providing the host tissue. However, existing methods of reprogramming as well as the types of source tissue have significant limitations that preclude the ability to generate iPSCs in a scalable manner from a readily available tissue source. We present the first study whereby iPSCs are derived in parallel from multiple donors using episomal, non-integrating, oriP/EBNA1-based plasmids from freshly drawn blood. Specifically, successful reprogramming was demonstrated from a single vial of blood or less using cells expressing the early lineage marker CD34 as well as from unpurified peripheral blood mononuclear cells. From these experiments, we also show that proliferation and cell identity play a role in the number of iPSCs per input cell number. Resulting iPSCs were further characterized and deemed free of transfected DNA, integrated transgene DNA, and lack detectable gene rearrangements such as those within the immunoglobulin heavy chain and T cell receptor loci of more differentiated cell types. Furthermore, additional improvements were made to incorporate completely defined media and matrices in an effort to facilitate a scalable transition for the production of clinic-grade iPSCs.

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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 121 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 29%
Student > Ph. D. Student 27 22%
Other 12 10%
Student > Doctoral Student 9 7%
Student > Bachelor 6 5%
Other 17 14%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 34%
Biochemistry, Genetics and Molecular Biology 32 26%
Medicine and Dentistry 16 13%
Neuroscience 6 5%
Chemistry 2 2%
Other 5 4%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 19 March 2024.
All research outputs
#2,237,473
of 23,103,436 outputs
Outputs from PLOS ONE
#28,363
of 197,133 outputs
Outputs of similar age
#17,020
of 241,258 outputs
Outputs of similar age from PLOS ONE
#301
of 2,706 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 85% 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 241,258 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 2,706 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.