Sangam: A Confluence of Knowledge Streams

An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 33412

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dc.contributor Canales Coutino, Brenda
dc.contributor Cornhill, Zoe E.
dc.contributor Couto, Africa
dc.contributor Mack, Natalie A.
dc.contributor Rusu, Alexandra D.
dc.contributor Nagarajan, Usha
dc.contributor Fan, Yuen Ngan
dc.contributor Hadjicharalambous, Marina R.
dc.contributor Lourdusamy, Anbarasu
dc.contributor Castellanos Uribe, Marcos
dc.contributor May, Sean T.
dc.contributor Rahman, Ruman
dc.creator Georgiou, Marios
dc.date 2019-05-10T14:19:44Z
dc.date 2019-05-10T14:19:44Z
dc.date 2019-05-01
dc.date October 2012 - April 2017
dc.date.accessioned 2022-05-26T10:27:57Z
dc.date.available 2022-05-26T10:27:57Z
dc.identifier https://rdmc.nottingham.ac.uk/handle/internal/6861
dc.identifier http://doi.org/10.17639/nott.6854
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/203013
dc.description This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
dc.description Metastasis 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: 33412 (III) Source: Bloomington Name: sdk Full name: sidekick Also known as: EG:BACR19J1 .1, CT16627 Annotation symbol: CG5227 FlyBase ID: FBgn0021764 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)
dc.language en
dc.publisher University of Nottingham
dc.relation http://flycancerscreen.nottingham.ac.uk
dc.relation http://flybase.org/reports/FBgn0021764
dc.subject Metastasis
dc.subject Cancer -- Molecular aspects
dc.subject Cancer -- Genetic aspects
dc.subject Neoplasm Metastasis
dc.subject Molecular Biology
dc.subject Neoplasms -- genetics
dc.subject Drosophila, cancer, invasion, metastasis, screen, RNAi, lgl, tumour suppressor, invasion suppressor
dc.subject Biological Sciences::Zoology::Cell zoology
dc.subject Biological Sciences::Biology::Cell biology
dc.subject Biological Sciences::Genetics::Medical & veterinary genetics
dc.subject Q Science::QL Zoology::QL360 Invertebrates
dc.subject Q Science::QH Natural history. Biology::QH426 Genetics
dc.subject Q Science::QH Natural history. Biology::QH201 Microscopy
dc.subject R Medicine::RC Internal medicine::RC 254 Neoplasms. Tumors. Oncology (including Cancer)
dc.title An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 33412


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