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Circulation Research
Article . 2013 . Peer-reviewed
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Progress in the Reprogramming of Somatic Cells

Authors: Ma, Tianhua; Xie, Min; Laurent, Timothy; Ding, Sheng;

Progress in the Reprogramming of Somatic Cells

Abstract

Pluripotent stem cells can differentiate into nearly all types of cells in the body. This unique potential provides significant promise for cell-based therapies to restore tissues or organs destroyed by injuries, degenerative diseases, aging, or cancer. The discovery of induced pluripotent stem cell (iPSC) technology offers a possible strategy to generate patient-specific pluripotent stem cells. However, because of concerns about the specificity, efficiency, kinetics, and safety of iPSC reprogramming, improvements or fundamental changes in this process are required before their effective clinical use. A chemical approach is regarded as a promising strategy to improve and change the iPSC process. Dozens of small molecules have been identified that can functionally replace reprogramming factors and significantly improve iPSC reprogramming. In addition to the prospect of deriving patient-specific tissues and organs from iPSCs, another attractive strategy for regenerative medicine is transdifferentiation—the direct conversion of one somatic cell type to another. Recent studies revealed a new paradigm of transdifferentiation: using transcription factors used in iPSC generation to induce transdifferentiation or called iPSC transcription factor–based transdifferentiation. This type of transdifferentiation not only reveals and uses the developmentally plastic intermediates generated during iPSC reprogramming but also produces a wide range of cells, including expandable tissue-specific precursor cells. Here, we review recent progress of small molecule approaches in the generation of iPSCs. In addition, we summarize the new concept of iPSC transcription factor–based transdifferentiation and discuss its application in generating various lineage-specific cells, especially cardiovascular cells.

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Keywords

transdifferentiation, 1.1 Normal biological development and functioning, Medical Biotechnology, Clinical Sciences, Induced Pluripotent Stem Cells, small molecule, Clinical sciences, Cardiorespiratory Medicine and Haematology, Regenerative Medicine, Cardiovascular, Cardiovascular medicine and haematology, Epigenesis, Genetic, Genetic, Underpinning research, Genetics, Animals, Humans, Developmental, Cell Lineage, Stem Cell Research - Induced Pluripotent Stem Cell - Non-Human, Cellular Senescence, Cell Proliferation, iPSC, Biomedical and Clinical Sciences, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Stem Cell Research - Induced Pluripotent Stem Cell, 5.2 Cellular and gene therapies, cardiovascular cell, reprogramming, Gene Expression Regulation, Developmental, Stem Cell Research, Cellular Reprogramming, Gene Expression Regulation, Cardiovascular System & Hematology, Cell Transdifferentiation, Generic health relevance, Development of treatments and therapeutic interventions, Energy Metabolism, Epigenesis, Signal Transduction, Transcription Factors

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    106
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
106
Top 10%
Top 10%
Top 1%
Green
bronze