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dc.contributor.authorBousgouni, V
dc.contributor.authorBakal, C
dc.coverage.spatialUnited States
dc.date.accessioned2023-03-09T13:03:08Z
dc.date.available2023-03-09T13:03:08Z
dc.date.issued2023-03-17
dc.identifier101942
dc.identifierS2666-1667(22)00822-X
dc.identifier.citationSTAR Protocols, 2022, 4 (1), pp. 101942 -
dc.identifier.issn2666-1667
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5718
dc.identifier.eissn2666-1667
dc.identifier.eissn2666-1667
dc.identifier.doi10.1016/j.xpro.2022.101942
dc.description.abstractSmall interfering RNA (siRNA) screening approaches used with quantitative single-cell analysis can uncover the roles of genes in cell morphogenesis. Here, we present a high-throughput automated phenotypic screening technique to quantify a single cell shape in cancer cells cultured on top of soft 3D hydrogels. We describe reverse transfection of cells with siRNAs and seeding of these cells on top of collagen, followed by image analysis to quantify morphology of a single cell and population levels in low-elasticity matrices. For complete details on the use and execution of this protocol, please refer to Bousgouni et al. (2022).1.
dc.formatPrint-Electronic
dc.format.extent101942 -
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER
dc.relation.ispartofSTAR Protocols
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCancer
dc.subjectCell Biology
dc.subjectCell culture
dc.subjectCell-based Assays
dc.subjectHigh Throughput Screening
dc.subjectSingle Cell
dc.titleQuantitative imaging of single-cell phenotypes in cancer cells cultured on hydrogel surfaces.
dc.typeJournal Article
dcterms.dateAccepted2022-11-24
dc.date.updated2023-03-09T13:01:44Z
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1016/j.xpro.2022.101942
rioxxterms.licenseref.startdate2022-12-15
rioxxterms.typeJournal Article/Review
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/36525347
pubs.issue1
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/17/18 Starting Cohort
pubs.publication-statusPublished online
pubs.publisher-urlhttp://dx.doi.org/10.1016/j.xpro.2022.101942
pubs.volume4
icr.researchteamDynamical Cell Systems
dc.contributor.icrauthorBousgouni, Paraskevi
dc.contributor.icrauthorBakal, Christopher
icr.provenanceDeposited by Mr Arek Surman on 2023-03-09. Deposit type is initial. No. of files: 1. Files: Quantitative imaging of single-cell phenotypes in cancer cells cultured on hydrogel surfaces.pdf


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