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</script>pmid: 8111541
When skeletal muscle is damaged, it is repaired by the proliferation of mononuclear muscle precursor cells (mpc) which fuse either with one another to form young multinucleated muscle cells (myotubes) or with the ends of damaged myofibres (Robertson et al., 1990). The success of new muscle formation is related to the size of the injury, as after major trauma and extensive disruption of the external lamina of muscle fibres there is often significant replacement by fibrous and cellular connective tissue. Impaired muscle regeneration and progressive replacement by fat and connective tissue is a feature of myopathies such as Duchenne muscular dystrophy (DMD), although this results from many small discrete lesions constantly recurring over a long period of time rather than from a single large injury. Failed regeneration can be seen in simplistic terms as a failure of muscle precursor replication. In this review we shall concentrate on the biology of muscle precursor cells. For coverage of other aspects of regeneration such as resealing of damaged myofibres, revascularization and reinnervation, see Grounds (1991).
Aging, Muscles, Muscular Dystrophies, Rats, Mice, Animals, Humans, Regeneration, Growth Substances, Cell Division
Aging, Muscles, Muscular Dystrophies, Rats, Mice, Animals, Humans, Regeneration, Growth Substances, Cell Division
| 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). | 165 | |
| 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 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% | 
