Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/176481
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCorominas Castiñeira, Roser-
dc.contributor.authorYang, Xinping-
dc.contributor.authorLin, Guan Ning-
dc.contributor.authorKang, Shuli-
dc.contributor.authorShen, Yun-
dc.contributor.authorGhamsari, Lila-
dc.contributor.authorBroly, Martin-
dc.contributor.authorRodriguez, Maria-
dc.contributor.authorTam, Stanley-
dc.contributor.authorTrigg, Shelly A.-
dc.contributor.authorFan, Changyu-
dc.contributor.authorYi, Song-
dc.contributor.authorTasan, Murat-
dc.contributor.authorLemmens, Irma-
dc.contributor.authorKuang, Xingyan-
dc.contributor.authorZhao, Nan-
dc.contributor.authorMalhotra, Dheeraj-
dc.contributor.authorMichaelson, Jacob J.-
dc.contributor.authorVacic, Vladimir-
dc.contributor.authorCalderwood, Michael A.-
dc.contributor.authorRoth, Frederick P.-
dc.contributor.authorTavernier, Jan-
dc.contributor.authorHorvath, Steve-
dc.contributor.authorSalehi-Ashtiani, Kourosh-
dc.contributor.authorKorkin, Dmitry-
dc.contributor.authorSebat, Jonathan-
dc.contributor.authorHill, David E.-
dc.contributor.authorHao, Tong-
dc.contributor.authorVidal, Marc-
dc.contributor.authorIakoucheva, Lilia M.-
dc.date.accessioned2021-04-19T16:33:21Z-
dc.date.available2021-04-19T16:33:21Z-
dc.date.issued2014-04-11-
dc.identifier.issn2041-1723-
dc.identifier.urihttp://hdl.handle.net/2445/176481-
dc.description.abstractIncreased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases.-
dc.format.extent12 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherNature Publishing Group-
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1038/ncomms4650-
dc.relation.ispartofNature Communications, 2014, vol. 5, num. 3650-
dc.relation.urihttps://doi.org/10.1038/ncomms4650-
dc.rights(c) Corominas Castiñeira, Roser et al., 2014-
dc.sourceArticles publicats en revistes (Genètica, Microbiologia i Estadística)-
dc.subject.classificationAutisme-
dc.subject.classificationProteïnes-
dc.subject.classificationGenètica-
dc.subject.otherAutism-
dc.subject.otherProteins-
dc.subject.otherGenetics-
dc.titleProtein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/acceptedVersion-
dc.identifier.idgrec687308-
dc.date.updated2021-04-19T16:33:21Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid24722188-
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

Files in This Item:
File Description SizeFormat 
687308.pdf1.07 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.