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Elite and stochastic models for induced pluripotent stem cell generation

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  • Shinya Yamanaka

    (Center for iPS Cell Research and Application (CiRA), Kyoto University
    Gladstone Institute of Cardiovascular Disease, San Francisco, California 94158, USA)

Abstract

iPS cells three years on In the three years since Kazutoshi Takahashi and Shinya Yamanaka first demonstrated the generation of iPS (induced pluripotent stem) cells from 'normal' somatic cells using defined factors, interest in these cells has been high. Yet although they are reproducibly generated by transfection of a small number of factors, only a few per cent of transfected cells become pluripotent, and the procedure is very slow. In a review that starts with the 'pre-iPS' days, Shinya Yamanaka focuses on the mechanisms of iPS production, and on the reasons for its inefficiency and slowness. He concludes by proposing a model for direct reprogramming in which all or most cells have the potential to become pluripotent.

Suggested Citation

  • Shinya Yamanaka, 2009. "Elite and stochastic models for induced pluripotent stem cell generation," Nature, Nature, vol. 460(7251), pages 49-52, July.
    • Handle: RePEc:nat:nature:v:460:y:2009:i:7251:d:10.1038_nature08180
    DOI: 10.1038/nature08180
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    Cited by:

    1. Rabajante, Jomar Fajardo & Talaue, Cherryl Ortega, 2015. "Equilibrium switching and mathematical properties of nonlinear interaction networks with concurrent antagonism and self-stimulation," Chaos, Solitons & Fractals, Elsevier, vol. 73(C), pages 166-182.
    2. Michaela Luconi & Miguel A. Sogorb & Udo R. Markert & Emilio Benfenati & Tobias May & Susanne Wolbank & Alessandra Roncaglioni & Astrid Schmidt & Marco Straccia & Sabrina Tait, 2022. "Human-Based New Approach Methodologies in Developmental Toxicity Testing: A Step Ahead from the State of the Art with a Feto–Placental Organ-on-Chip Platform," IJERPH, MDPI, vol. 19(23), pages 1-31, November.
    3. Rowan D Brackston & Eszter Lakatos & Michael P H Stumpf, 2018. "Transition state characteristics during cell differentiation," PLOS Computational Biology, Public Library of Science, vol. 14(9), pages 1-24, September.
    4. Chunhe Li & Jin Wang, 2013. "Quantifying Cell Fate Decisions for Differentiation and Reprogramming of a Human Stem Cell Network: Landscape and Biological Paths," PLOS Computational Biology, Public Library of Science, vol. 9(8), pages 1-14, August.
    5. María José Pino-Barrio & Elisa García-García & Pablo Menéndez & Alberto Martínez-Serrano, 2015. "V-Myc Immortalizes Human Neural Stem Cells in the Absence of Pluripotency-Associated Traits," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    6. Maria Arez & Melanie Eckersley-Maslin & Tajda Klobučar & João Gilsa Lopes & Felix Krueger & Annalisa Mupo & Ana Cláudia Raposo & David Oxley & Samantha Mancino & Anne-Valerie Gendrel & Bruno Bernardes, 2022. "Imprinting fidelity in mouse iPSCs depends on sex of donor cell and medium formulation," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    7. Francesco Panariello & Onelia Gagliano & Camilla Luni & Antonio Grimaldi & Silvia Angiolillo & Wei Qin & Anna Manfredi & Patrizia Annunziata & Shaked Slovin & Lorenzo Vaccaro & Sara Riccardo & Valenti, 2023. "Cellular population dynamics shape the route to human pluripotency," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    8. Anyou Wang & Ying Du & Qianchuan He & Chunxiao Zhou, 2013. "A Quantitative System for Discriminating Induced Pluripotent Stem Cells, Embryonic Stem Cells and Somatic Cells," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-10, February.
    9. Yan, Kexun & Wang, Maoxiang & Hu, Fenglan & Xu, Meng, 2023. "Effect of cellular dedifferentiation on the growth of cell lineages," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).

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