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IRIS Cnr
Article . 2012
Data sources: IRIS Cnr
CNR ExploRA
Article . 2012
Data sources: CNR ExploRA
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Tissue engineering for skeletal muscle regeneration.

Authors: Rizzi R; Bearzi C; Mauretti A; Bernardini S; Cannata S; Gargioli C;

Tissue engineering for skeletal muscle regeneration.

Abstract

Stem cells and regenerative medicine have obtained a remarkable consent from the scientific community for their promising ability to recover aged, injured and diseased tissue. However, despite the noteworthy potential, hurdles currently hinder their use and clinical application: cell survival, immune response, tissue engraftment and efficient differentiation. Hence a new interdisciplinary scientific approach, such as tissue engineering, is going deep attempts to mimic neo-tissue-genesis as well as stem cell engraftment amelioration. Skeletal muscle tissue engineering represents a great potentiality in medicine for muscle regeneration exploiting new generation injectable hydrogel as scaffold supporting progenitor/stem cells for muscle differentiation reconstructing the natural skeletal muscle tissue architecture influenced by matrix mechanical and physical property and by a dynamic environment.

Country
Italy
Keywords

616.7 Malattie del sistema muscoloscheletrico, Hydrogel, Mesoangioblast, 571, Stem cell, muscle, Skeletal muscle, Tissue engineering

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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 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 10%
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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!
33
Top 10%
Top 10%
Top 10%
Green