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RNA Processing

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Attention for Chapter 9: RNA Processing
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Chapter title
RNA Processing
Chapter number 9
Book title
RNA Processing
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/978-3-319-29073-7_9
Pubmed ID
Book ISBNs
978-3-31-929071-3, 978-3-31-929073-7
Authors

Bejar, Rafael, Rafael Bejar

Abstract

Many cancers demonstrate aberrant splicing patterns that contribute to their development and progression. Recently, recurrent somatic mutations of genes encoding core subunits of the spliceosome have been identified in several different cancer types. These mutations are most common in hematologic malignancies like the myelodysplastic syndromes (MDS), acute myeloid leukemia, and chronic lymphocytic leukemia, but also in occur in several solid tumors at lower frequency. The most frequent mutations occur in SF3B1, U2AF1, SRSF2, and ZRSR2 and are largely exclusive of each other. Mutations in SF3B1, U2AF1, and SRSF2 acquire heterozygous missense mutations in specific codons, resembling oncogenes. ZRSR2 mutations include clear loss-of-function variants, a pattern more common to tumor suppressor genes. These splicing factors are associated with distinct clinical phenotypes and patterns of mutation in different malignancies. Mutations have both diagnostic and prognostic relevance. Splicing factor mutations appear to affect only a minority of transcripts which show little overlap by mutation type. How differences in splicing caused by somatic mutations of spliceosome subunits lead to oncogenesis is not clear and may involve different targets in each disease type. However, cells with mutated splicing machinery may be particularly vulnerable to further disruption of the spliceosome suggesting a novel strategy for the targeted therapy of cancers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Bachelor 6 14%
Student > Doctoral Student 5 12%
Student > Master 4 10%
Researcher 3 7%
Other 4 10%
Unknown 8 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 43%
Medicine and Dentistry 6 14%
Agricultural and Biological Sciences 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Immunology and Microbiology 1 2%
Other 2 5%
Unknown 9 21%