Splicing regulation: from a parts list of regulatory elements to an integrated splicing code.

By Zefeng Wang, C. Burge. RNA: A publication of the RNA Society, 2008

1,087 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d298e7e894abc2c5d6174e572611e3534d6cb155

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In Molecular Biology

Citations in the corpus

Accurate SHAPE-directed RNA structure determination (2009, neutral): “Data for tRNAAsp and the bI3 intron were reported previously (5, 6).”
Predicting Splicing from Primary Sequence with Deep Learning. (2019, background): “…Arises from Weak Cryptic Splice Variants Alternative splicing is a major mode of gene regulation that serves to increase the diversity of transcripts in different tissues and developmental stages, and its dysregulation is associated with disease processes (Irimia et al., 2014; Wang et al., 2008).”
Expression of Linear and Novel Circular Forms of an INK4/ARF-Associated Non-Coding RNA Correlates with Atherosclerosis Risk (2010, background): “). ESEs and ISEs favor exon recognition by the spliceosome when they occur in exons or introns, respectively. However, ISSs and ESSs promote exon skipping irrespective of position”
Alternative splicing and evolution: diversification, exon definition and function (2010, background): “Human–mouse comparative genomic analysis of constitutive and alternative cassette exons reveals that alternatively spliced exons are under different selective pressures from constitutive ones and that various features distinguish the two group”
Deep learning of the tissue-regulated splicing code (2014, methodology): “…based on genomic features and cellular context is highly desirable, both in understanding this widespread phenomenon, and in exploring the effects of genetic variations on AS. Methods: Using a deep neural network, we developed a model inferred from mouse RNA-Seq data that can predict…”