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RNA Metabolism in Neurodegenerative Diseases

Overview of attention for book
Attention for Chapter 6: RNP Assembly Defects in Spinal Muscular Atrophy
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Chapter title
RNP Assembly Defects in Spinal Muscular Atrophy
Chapter number 6
Book title
RNA Metabolism in Neurodegenerative Diseases
Published in
Advances in neurobiology, January 2018
DOI 10.1007/978-3-319-89689-2_6
Pubmed ID
Book ISBNs
978-3-31-989688-5, 978-3-31-989689-2
Authors

Phillip L. Price, Dmytro Morderer, Wilfried Rossoll, Price, Phillip L., Morderer, Dmytro, Rossoll, Wilfried

Abstract

Spinal muscular atrophy (SMA) is a motor neuron disease caused by mutations/deletions within the survival of motor neuron 1 (SMN1) gene that lead to a pathological reduction of SMN protein levels. SMN is part of a multiprotein complex, functioning as a molecular chaperone that facilitates the assembly of spliceosomal small nuclear ribonucleoproteins (snRNP). In addition to its role in spliceosome formation, SMN has also been found to interact with mRNA-binding proteins (mRBPs), and facilitate their assembly into mRNP transport granules. The association of protein and RNA in RNP complexes plays an important role in an extensive and diverse set of cellular processes that regulate neuronal growth, differentiation, and the maturation and plasticity of synapses. This review discusses the role of SMN in RNP assembly and localization, focusing on molecular defects that affect mRNA processing and may contribute to SMA pathology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Researcher 5 18%
Other 1 4%
Professor 1 4%
Student > Bachelor 1 4%
Other 2 7%
Unknown 9 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 3 11%
Neuroscience 3 11%
Medicine and Dentistry 3 11%
Computer Science 2 7%
Other 2 7%
Unknown 9 32%