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Generation of Virus-Free Induced Pluripotent Stem Cell Clones on a Synthetic Matrix via a Single Cell Subcloning in the Naïve State

Overview of attention for article published in PLOS ONE, June 2012
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Title
Generation of Virus-Free Induced Pluripotent Stem Cell Clones on a Synthetic Matrix via a Single Cell Subcloning in the Naïve State
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038389
Pubmed ID
Authors

Naoki Nishishita, Masayuki Shikamura, Chiemi Takenaka, Nozomi Takada, Noemi Fusak, Shin Kawamata

Abstract

CD34+ cord blood cells can be reprogrammed effectively on dishes coated with a synthetic RGD motif polymer (PronectinF®) using a temperature sensitive Sendai virus vector (SeV TS7) carrying reprogramming factors OCT3/4, SOX2, KLF4 and c-MYC. Dish-shaped human ES cell-like colonies emerged in serum-free primate ES cell medium (supplemented with bFGF) in 20% O2 culture conditions. The copy numbers of SeV TS7 vectors in the cytoplasm were drastically reduced by a temperature shift at 38°C for three days. Then, single cells from colonies were seeded on PronectinF®-coated 96-well plates and cultured under naïve culture conditions (N2B27-based medium supplemented with LIF, forskolin, a MAPK inhibitor, and a GSK inhibitor in 5% O2) for cloning purpose. Dome-shaped mouse ES cell-like colonies from single cells emerged on PronectinF®-coated dishes. These cells were collected and cultured again in primate ES cell medium supplemented with bFGF in 20% O2 and maintained on PronectinF®-coated dishes. Cells were assessed for reprogramming, including the absence of residual SeV and their potential for three germ layer differentiation. Generation of virus-free induced pluripotent stem cell (iPSC) clones from single cells under feeder-free conditions will solve some of the safety concerns related to use of xeno- or allogeneic-material in culture, and contribute to the characterization and the standardization of iPS cells intended for use in a clinical setting.

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Geographical breakdown

Country Count As %
Japan 1 2%
Portugal 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Researcher 13 22%
Student > Master 8 14%
Professor 5 8%
Student > Bachelor 4 7%
Other 7 12%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 54%
Biochemistry, Genetics and Molecular Biology 9 15%
Engineering 3 5%
Medicine and Dentistry 3 5%
Immunology and Microbiology 1 2%
Other 5 8%
Unknown 6 10%