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Cell
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Cell
Article . 2016 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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In Vivo Cellular Reprogramming: The Next Generation

Authors: Srivastava, Deepak; DeWitt, Natalie;

In Vivo Cellular Reprogramming: The Next Generation

Abstract

Cellular reprogramming technology has created new opportunities in understanding human disease, drug discovery, and regenerative medicine. While a combinatorial code was initially found to reprogram somatic cells to pluripotency, a "second generation" of cellular reprogramming involves lineage-restricted transcription factors and microRNAs that directly reprogram one somatic cell to another. This technology was enabled by gene networks active during development, which induce global shifts in the epigenetic landscape driving cell fate decisions. A major utility of direct reprogramming is the potential of harnessing resident support cells within damaged organs to regenerate lost tissue by converting them into the desired cell type in situ. Here, we review the progress in direct cellular reprogramming, with a focus on the paradigm of in vivo reprogramming for regenerative medicine, while pointing to hurdles that must be overcome to translate this technology into future therapeutics.

Country
United States
Related Organizations
Keywords

Biomedical, 1.1 Normal biological development and functioning, Medical Biotechnology, Induced Pluripotent Stem Cells, Regenerative Medicine, Medical and Health Sciences, Translational Research, Biomedical, Underpinning research, Insulin-Secreting Cells, Translational Research, Genetics, Humans, Myocytes, Cardiac, Neurons, Myocytes, Biomedical and Clinical Sciences, Research, Biological Sciences, Stem Cell Research, Cellular Reprogramming, Biochemistry and Cell Biology, Generic health relevance, Cardiac, Biotechnology, Developmental Biology

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    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).
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    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 1%
    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.
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selected citations
These citations are derived from selected sources.
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!
256
Top 1%
Top 10%
Top 1%
Green
hybrid