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dc.contributor.authorGeorgiou, Marios
dc.contributor.otherCanales Coutino, Brenda
dc.contributor.otherCornhill, Zoe E.
dc.contributor.otherCouto, Africa
dc.contributor.otherMack, Natalie A.
dc.contributor.otherRusu, Alexandra D.
dc.contributor.otherNagarajan, Usha
dc.contributor.otherFan, Yuen Ngan
dc.contributor.otherHadjicharalambous, Marina R.
dc.contributor.otherLourdusamy, Anbarasu
dc.contributor.otherCastellanos Uribe, Marcos
dc.contributor.otherMay, Sean T.
dc.contributor.otherRahman, Ruman
dc.date.accessioned2019-05-10T13:56:44Z
dc.date.available2019-05-10T13:56:44Z
dc.date.issued2019-05-01
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/6451
dc.descriptionThis data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image setsen_UK
dc.description.abstractMetastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 31568 (III) Source: Bloomington Name: CG5155 Full name: gudu Also known as: gudu Annotation symbol: CG5155 FlyBase ID: FBgn0031905 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)en_UK
dc.language.isoenen_UK
dc.publisherUniversity of Nottinghamen_UK
dc.relation.urihttp://flycancerscreen.nottingham.ac.uken_UK
dc.relation.urihttp://flybase.org/reports/FBgn0031905en_UK
dc.subject.lcshMetastasisen_UK
dc.subject.lcshCancer -- Molecular aspectsen_UK
dc.subject.lcshCancer -- Genetic aspectsen_UK
dc.subject.meshNeoplasm Metastasisen_UK
dc.subject.meshMolecular Biologyen_UK
dc.subject.meshNeoplasms -- geneticsen_UK
dc.titleAn in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31568en_UK
dc.identifier.doihttp://doi.org/10.17639/nott.6444
dc.subject.freeDrosophila, cancer, invasion, metastasis, screen, RNAi, lgl, tumour suppressor, invasion suppressoren_UK
dc.subject.jacsBiological Sciences::Zoology::Cell zoologyen_UK
dc.subject.jacsBiological Sciences::Biology::Cell biologyen_UK
dc.subject.jacsBiological Sciences::Genetics::Medical & veterinary geneticsen_UK
dc.subject.lcQ Science::QL Zoology::QL360 Invertebratesen_UK
dc.subject.lcQ Science::QH Natural history. Biology::QH426 Geneticsen_UK
dc.subject.lcQ Science::QH Natural history. Biology::QH201 Microscopyen_UK
dc.subject.lcR Medicine::RC Internal medicine::RC 254 Neoplasms. Tumors. Oncology (including Cancer)en_UK
dc.date.collectionOctober 2012 - April 2017en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Medicine and Health Sciences::School of Life Sciencesen_UK
uon.funder.controlledCancer Research UKen_UK
uon.datatypeImage filesen_UK
uon.grantC36430, A12891en_UK
uon.collectionmethodLive imaging was performed with either a Leica SP2 inverted confocal microscope equipped with a × 40/1.25 NA oil objective with PL APO correction, a Zeiss LSM880 inverted confocal microscope equipped with a x 40/ 1.30 NA oil Ph3 M27 objective or a Zeiss LSM5 Exciter AxioObserver equipped with an EC Plan-NeoFluar × 40/1.30 oil lens. Z-series were acquired using 1 μm z-sectioning.en_UK
uon.preservation.rarelyaccessedtrue


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