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Exon and intron definition in pre‐mRNA splicing
Author(s) -
De Conti Laura,
Baralle Marco,
Buratti Emanuele
Publication year - 2012
Publication title -
wiley interdisciplinary reviews: rna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.225
H-Index - 71
eISSN - 1757-7012
pISSN - 1757-7004
DOI - 10.1002/wrna.1140
Subject(s) - spliceosome , rna splicing , intron , exon , biology , computational biology , genetics , minor spliceosome , nucleosome , chromatin , exonic splicing enhancer , splicing factor , rna , gene
One of the fundamental issues in RNA splicing research is represented by understanding how the spliceosome can successfully define exons and introns in a huge variety of pre‐mRNA molecules with nucleotide‐precision. Since its first description, researchers in this field have identified and characterized many fundamental elements and players capable of affecting the splicing process, both in a negative and positive manner. Indeed, it can be argued that today we know a great deal about the forces that make an exon, an exon and an intron, an intron. As will be discussed in this review, these decisions are a result of a complex combinatorial control resulting from many different factors/influences. Most importantly, these influences act across several levels of complexity starting from the relatively simple interaction between two consensus 5′ and 3′ splice sites to much more complex factors: such as the interplay between silencer or enhancer sequences, transcriptional processivity, genomic milieu, nucleosome positioning, and histone modifications at the chromatin level. Depending on local contexts, all these factors will act either antagonistically or synergistically to decide the exon/intron fate of any given RNA sequence. At present, however, what we still lack is a precise understanding of how all these processes add up to help the spliceosome reach a decision. Therefore, it is expected that future challenges in splicing research will be the careful characterization of all these influences to improve our ability to predict splicing choices in different organisms or in specific contexts. WIREs RNA 2013, 4:49–60. doi: 10.1002/wrna.1140 This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein–RNA Recognition RNA Processing > Splicing Mechanisms RNA Processing > Splicing Regulation/Alternative Splicing

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