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dc.contributor.authorNeumuüller, Ralph A.
dc.contributor.authorPerrimon, Norbert
dc.date.accessioned2019-09-21T09:03:39Z
dc.date.issued2011
dc.identifier.citationNeumüller, Ralph A., and Norbert Perrimon. 2010. “Where Gene Discovery Turns into Systems Biology: Genome-Scale RNAi Screens inDrosophila.” Wiley Interdisciplinary Reviews: Systems Biology and Medicine 3 (4): 471–78. https://doi.org/10.1002/wsbm.127.
dc.identifier.issn1939-005X
dc.identifier.issn1939-5094
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:41384511*
dc.description.abstractSystems biology aims to describe the complex interplays between cellular building blocks which, in their concurrence, give rise to the emergent properties observed in cellular behaviors and responses. This approach tries to determine the molecular players and the architectural principles of their interactions within the genetic networks that control certain biological processes. Large-scale loss-of-function screens, applicable in various different model systems, have begun to systematically interrogate entire genomes to identify the genes that contribute to a certain cellular response. In particular, RNA interference (RNAi)-based high-throughput screens have been instrumental in determining the composition of regulatory systems and paired with integrative data analyses have begun to delineate the genetic networks that control cell biological and developmental processes. Through the creation of tools for both, in vitro and in vivo genome-wide RNAi screens, Drosophila melanogaster has emerged as one of the key model organisms in systems biology research and over the last years has massively contributed to and hence shaped this discipline.
dc.language.isoen_US
dc.publisherWiley
dash.licenseLAA
dc.titleWhere gene discovery turns into systems biology: genome-scale RNAi screens in Drosophila
dc.typeJournal Article
dc.description.versionAccepted Manuscript
dc.relation.journalWiley Interdisciplinary Reviews-Systems Biology and Medicine
dash.depositing.authorPerrimon, Norbert::4e34fce71a186b488b1846b199007bfb::600
dc.date.available2019-09-21T09:03:39Z
dash.workflow.comments1Science Serial ID 115957
dc.identifier.doi10.1002/wsbm.127
dash.source.volume3;4
dash.source.page471


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