The Evolutionary Landscape of Alternative Splicing in Vertebrate Species
By Nuno L. Barbosa-Morais, Manuel Irimia, Qun Pan, Hui Yuan Xiong, Serge Gueroussov, Leo J. Lee, Valentina Slobodeniuc, C. Kutter, S. Watt, R. Çolak and 7 more. Science, 2012
808 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/432455a1a4685c90403c38053dc19e3073d3c253
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In Molecular Biology
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Citations in the corpus
- Deep learning of the tissue-regulated splicing code (2014, methodology): “Our architecture uses hidden variables that jointly represent features in genomic sequences and tissue types when making predictions.”
- Complexity of the Alternative Splicing Landscape in Plants[C][W][OPEN] (2013, background): “An animal study found that a majority of all alternative isoforms resulted in unstable protein conformations, but only a subset of isoforms maintained protein structural integrity (Melamud and Moult, 2009).”
- A highly conserved program of neuronal microexons is misregulated in autistic brains (2014, result): “This is in marked contrast to the generally low degree of evolutionary conservation of other types of AS across vertebrate species (Barbosa-Morais et al., 2012; Braunschweig et al., 2014; Merkin et al., 2012).”
- Annotation-free quantification of RNA splicing using LeafCutter (2017, neutral): “When using gene expression levels, they saw clustering by organ as expected, however when using exon-skipping levels, they instead saw a clustering by species 27,28 .”
- Widespread intron retention in mammals functionally tunes transcriptomes (2014, methodology): “Similar to cassette exon AS (Barbosa-Morais et al. 2012; Merkin et al. 2012), IR has diverged rapidly in all tissues during vertebrate evolution, although to a considerably lesser extent in the brain than in organs such as testis, which shows the most divergent IR profiles (Fig.”
- Alternative Splicing Regulatory Networks: Functions, Mechanisms, and Evolution. (2019, background): “Notably, a splicing code inferred from mouse data can predict splicing patterns in other vertebrate species with reasonable accuracy (Barbosa-Morais et al., 2012), in agreement with the conserved nature of the binding specificities of orthologous RBPs and their cognate cis-acting elements (Irimia et”
- Mechanisms and Regulation of Alternative Pre-mRNA Splicing (2015, background): “Indeed, although the mouse and human genomes contain similar numbers of genes, alternative pre-mRNA splicing occurs in >95 to 100% of human genes, compared with ∼63% of mouse genes (Table 1) (5, 6).”