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Forcing cells to change lineages

Author

Listed:
  • Thomas Graf

    (Center for Genomic Regulation and ICREA)

  • Tariq Enver

    (MRC Molecular Haematology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK)

Abstract

Enforced cell lineage change Though it is important for the success of multicellular organisms that their many different cell types remain stable once specified, advances in the production of induced pluripotent stem (iPS) cells from somatic cells by exposure to a transcription factor cocktail emphasize the potential of almost any cell to be reprogrammed. This raises the question of whether interconversion between cell types occurs physiologically or in the context of disease. Thomas Graf and Tariq Enver use examples from the blood cell system to illustrate the principles of transcription factor transdifferentiation, which they conclude is a process fundamentally similar to differentiation and different from iPS reprogramming. They postulate that conversions of one cell type to another can occur as a normal developmental process, and speculate on the prospects of forced lineage reprogramming in regenerative medicine.

Suggested Citation

  • Thomas Graf & Tariq Enver, 2009. "Forcing cells to change lineages," Nature, Nature, vol. 462(7273), pages 587-594, December.
    • Handle: RePEc:nat:nature:v:462:y:2009:i:7273:d:10.1038_nature08533
    DOI: 10.1038/nature08533
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    Cited by:

    1. Margaret J Tse & Brian K Chu & Cameron P Gallivan & Elizabeth L Read, 2018. "Rare-event sampling of epigenetic landscapes and phenotype transitions," PLOS Computational Biology, Public Library of Science, vol. 14(8), pages 1-28, August.
    2. 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.
    3. Tian Hong & Jianhua Xing & Liwu Li & John J Tyson, 2011. "A Mathematical Model for the Reciprocal Differentiation of T Helper 17 Cells and Induced Regulatory T Cells," PLOS Computational Biology, Public Library of Science, vol. 7(7), pages 1-13, July.
    4. Nazifa Ahmed Moumi & Badhan Das & Zarin Tasnim Promi & Nishat Anjum Bristy & Md Shamsuzzoha Bayzid, 2019. "Quartet-based inference of cell differentiation trees from ChIP-Seq histone modification data," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-25, September.

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