title: In silico to in vivo splicing analysis using splicing code models.
abstract: With the growing appreciation of RNA splicing's role in gene regulation, development, and disease, researchers from diverse fields find themselves investigating exons of interest. Commonly, researchers are interested in knowing if an exon is alternatively spliced, if it is differentially included in specific tissues or in developmental stages, and what regulatory elements control its inclusion. An important step towards the ability to perform such analysis in silico was made with the development of computational splicing code models. Aimed as a practical how-to guide, we demonstrate how researchers can now use these code models to analyze a gene of interest, focusing on Bin1 as a case study. Bridging integrator 1 (BIN1) is a nucleocytoplasmic adaptor protein known to be functionally regulated through alternative splicing in a tissue-specific manner. Specific Bin1 isoforms have been associated with muscular diseases and cancers, making the study of its splicing regulation of wide interest. Using AVISPA, a recently released web tool based on splicing code models, we show that many Bin1 tissue-dependent isoforms are correctly predicted, along with many of its known regulators. We review the best practices and constraints of using the tool, demonstrate how AVISPA is used to generate high confidence novel regulatory hypotheses, and experimentally validate predicted regulators of Bin1 alternative splicing.
authors: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
authors: Matthew R
authors: MR
authors: Gazzara
authors: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
authors: Jorge
authors: J
authors: Vaquero-Garcia
authors: Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
authors: Kristen W
authors: KW
authors: Lynch
authors: Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: yosephb@mail.med.upenn.edu.
authors: Yoseph
authors: Y
authors: Barash
mesh_terms: D048868:Adaptor Proteins, Signal Transducing / Q000235:genetics / Q000378:metabolism; D000818:Animals; D001483:Base Sequence; D002460:Cell Line; D003198:Computer Simulation; D006801:Humans; D008957:Models, Genetic; D009687:Nuclear Proteins / Q000235:genetics / Q000378:metabolism; D009928:Organ Specificity; D038941:Polypyrimidine Tract-Binding Protein / Q000502:physiology; D012326:RNA Splicing; D012333:RNA, Messenger / Q000235:genetics* / Q000378:metabolism; D016601:RNA-Binding Proteins / Q000502:physiology; D020133:Reverse Transcriptase Polymerase Chain Reaction; D012984:Software; D025521:Tumor Suppressor Proteins / Q000235:genetics / Q000378:metabolism
chemical_list: D048868:Adaptor Proteins, Signal Transducing; C101410:BIN1 protein, human; D009687:Nuclear Proteins; C490832:QKI protein, human; D012333:RNA, Messenger; D016601:RNA-Binding Proteins; D025521:Tumor Suppressor Proteins; D038941:Polypyrimidine Tract-Binding Protein
keywords: AVISPA; Alternative splicing; BIN1; Centronuclear myopathy (CNM); Myotonic dystrophy (DM); Splicing code