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dc.creatorHernando Rodríguez, Blancaes
dc.creatorErinjeri, Annmary Paules
dc.creatorRodríguez Palero, María Jesúses
dc.creatorMillar, Vales
dc.creatorGonzález Hernández, Saraes
dc.creatorOlmedo López, Maríaes
dc.creatorSchulze, Bettinaes
dc.creatorBaumeister, Ralfes
dc.creatorMuñoz, Manuel J.es
dc.creatorAskjaer, Peteres
dc.creatorArtal Sanz, Martaes
dc.date.accessioned2019-06-10T15:09:06Z
dc.date.available2019-06-10T15:09:06Z
dc.date.issued2018
dc.identifier.citationHernando Rodríguez, B., Erinjeri, A.P., Rodríguez Palero, M.J., Millar, V., González Hernández, S., Olmedo López, M.,...,Artal Sanz, M. (2018). Combined flow cytometry and high-throughput image analysis for the study of essential genes in Caenorhabditis elegans. BMC Biology, 16 (1), 36-.
dc.identifier.issn1741-7007es
dc.identifier.urihttps://hdl.handle.net/11441/87298
dc.description.abstractBackground: Advances in automated image-based microscopy platforms coupled with high-throughput liquid workflows have facilitated the design of large-scale screens utilising multicellular model organisms such as Caenorhabditis elegans to identify genetic interactions, therapeutic drugs or disease modifiers. However, the analysis of essential genes has lagged behind because lethal or sterile mutations pose a bottleneck for high-throughput approaches, and a systematic way to analyse genetic interactions of essential genes in multicellular organisms has been lacking. Results: In C. elegans, non-conditional lethal mutations can be maintained in heterozygosity using chromosome balancers, commonly expressing green fluorescent protein (GFP) in the pharynx. However, gene expression or function is typically monitored by the use of fluorescent reporters marked with the same fluorophore, presenting a challenge to sort worm populations of interest, particularly at early larval stages. Here, we develop a sorting strategy capable of selecting homozygous mutants carrying a GFP stress reporter from GFP-balanced animals at the second larval stage. Because sorting is not completely error-free, we develop an automated high-throughput image analysis protocol that identifies and discards animals carrying the chromosome balancer. We demonstrate the experimental usefulness of combining sorting of homozygous lethal mutants and automated image analysis in a functional genomic RNA interference (RNAi) screen for genes that genetically interact with mitochondrial prohibitin (PHB). Lack of PHB results in embryonic lethality, while homozygous PHB deletion mutants develop into sterile adults due to maternal contribution and strongly induce the mitochondrial unfolded protein response (UPR mt ). In a chromosome-wide RNAi screen for C. elegans genes having human orthologues, we uncover both known and new PHB genetic interactors affecting the UPR mt and growth. Conclusions: The method presented here allows the study of balanced lethal mutations in a high-throughput manner. It can be easily adapted depending on the user's requirements and should serve as a useful resource for the C. elegans community for probing new biological aspects of essential nematode genes as well as the generation of more comprehensive genetic networks.es
dc.description.sponsorshipEuropean Research Council ERC-2011-StG-281691es
dc.description.sponsorshipMinisterio de Economía y Competitividad BFU2012–35509es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringer Naturees
dc.relation.ispartofBMC Biology, 16 (1), 36-.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectC. eleganses
dc.subjectEssential geneses
dc.subjectHigh-contentes
dc.subjectHigh-throughputes
dc.subjectImage analysises
dc.subjectMitochondriaes
dc.subjectProhibitinses
dc.subjectScreenses
dc.subjectUPR mtes
dc.subjectWorm sortinges
dc.titleCombined flow cytometry and high-throughput image analysis for the study of essential genes in Caenorhabditis eleganses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Genéticaes
dc.relation.projectIDERC-2011-StG-281691es
dc.relation.projectIDBFU2012–35509es
dc.relation.publisherversionhttp://dx.doi.org/10.1186/s12915-018-0496-5es
dc.identifier.doi10.1186/s12915-018-0496-5es
idus.format.extent19 p.es
dc.journaltitleBMC Biologyes
dc.publication.volumen16es
dc.publication.issue1es
dc.publication.initialPage36es

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