
This review describes the nesprins (nuclear envelope spectrin-repeat proteins), which are recently discovered family of nuclear envelope proteins. These proteins play an important role in maintaining the cellular architecture and establish the link between the nucleus and other sub-cellular compartments. Many tissue-specific diseases including lipodystrophies, hearing loss, cardiac and skeletal myopathies are associated with nesprins mutations. These proteins comprise of multiple tissue specific isoforms which contain spectrin repeats providing interaction of nesprins with other nuclear membrane proteins, cytoskeleton and intranuclear matrix. We summarize recent findings and suggestions about nesprins structural organization and function inside the cell. Human diseases caused by abnormal nesprins expression are also described.
Lipodystrophy, Nuclear Envelope, Microfilament Proteins, Gene Expression, Membrane Proteins, Nuclear Proteins, Muscular Dystrophy, Emery-Dreifuss, Cytosol, Mutation, Animals, Humans, Protein Isoforms, Hearing Loss, Cytoskeleton
Lipodystrophy, Nuclear Envelope, Microfilament Proteins, Gene Expression, Membrane Proteins, Nuclear Proteins, Muscular Dystrophy, Emery-Dreifuss, Cytosol, Mutation, Animals, Humans, Protein Isoforms, Hearing Loss, Cytoskeleton
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
