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dc.contributor.authorLage, Kasper
dc.contributor.authorMøllgård, Kjeld
dc.contributor.authorGreenway, Steven
dc.contributor.authorWakimoto, Hiroko
dc.contributor.authorGorham, Joshua M.
dc.contributor.authorWorkman, Christopher T.
dc.contributor.authorBendsen, Eske
dc.contributor.authorHansen, Niclas T.
dc.contributor.authorRigina, Olga
dc.contributor.authorRoque, Francisco S.
dc.contributor.authorWiese, Cornelia
dc.contributor.authorChristoffels, Vincent M.
dc.contributor.authorRoberts, Amy E.
dc.contributor.authorSmoot, Leslie B.
dc.contributor.authorPu, William T.
dc.contributor.authorDonahoe, Patricia
dc.contributor.authorTommerup, Niels
dc.contributor.authorBrunak, Søren
dc.contributor.authorSeidman, Christine E.
dc.contributor.authorSeidman, Jonathan G.
dc.contributor.authorLarsen, Lars A.
dc.date.accessioned2011-03-22T21:38:18Z
dc.date.available2011-03-22T21:38:18Z
dc.date.issued2010-06
dc.date.submitted2009-09
dc.identifier.issn1744-4292
dc.identifier.urihttp://hdl.handle.net/1721.1/61761
dc.description.abstractAberrant organ development is associated with a wide spectrum of disorders, from schizophrenia to congenital heart disease, but systems-level insight into the underlying processes is very limited. Using heart morphogenesis as general model for dissecting the functional architecture of organ development, we combined detailed phenotype information from deleterious mutations in 255 genes with high-confidence experimental interactome data, and coupled the results to thorough experimental validation. Hereby, we made the first systematic analysis of spatio-temporal protein networks driving many stages of a developing organ identifying several novel signaling modules. Our results show that organ development relies on surprisingly few, extensively recycled, protein modules that integrate into complex higher-order networks. This design allows the formation of a complicated organ using simple building blocks, and suggests how mutations in the same genes can lead to diverse phenotypes. We observe a striking temporal correlation between organ complexity and the number of discrete functional modules coordinating morphogenesis. Our analysis elucidates the organization and composition of spatio-temporal protein networks that drive the formation of organs, which in the future may lay the foundation of novel approaches in treatments, diagnostics, and regenerative medicine.en_US
dc.description.sponsorshipEunice Kennedy Shriver National Institute of Child Health and Human Development (U.S.) (RO1 grant HD055150-03)en_US
dc.language.isoen_US
dc.publisherNature Publishing Group / European Molecular Biology Organization (EMBO)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/msb.2010.36en_US
dc.rightsCreative Commons Attribution-Non-Commercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by/3.0en_US
dc.sourceMolecular Systems Biologyen_US
dc.titleDissecting spatio-temporal protein networks driving human heart development and related disordersen_US
dc.typeArticleen_US
dc.identifier.citationLage, Kasper et al. “Dissecting spatio-temporal protein networks driving human heart development and related disorders.” Mol Syst Biol 6 (2010): n. pag. © 2011 Nature Publishing Groupen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.approverDonahoe, Patricia
dc.contributor.mitauthorDonahoe, Patricia
dc.relation.journalMolecular Systems Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLage, Kasper; Møllgård, Kjeld; Greenway, Steven; Wakimoto, Hiroko; Gorham, Joshua M; Workman, Christopher T; Bendsen, Eske; Hansen, Niclas T; Rigina, Olga; Roque, Francisco S; Wiese, Cornelia; Christoffels, Vincent M; Roberts, Amy E; Smoot, Leslie B; Pu, William T; Donahoe, Patricia K; Tommerup, Niels; Brunak, Søren; Seidman, Christine E; Seidman, Jonathan G; Larsen, Lars Aen
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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