dc.contributor.author | Bousgouni, V | |
dc.contributor.author | Bakal, C | |
dc.coverage.spatial | United States | |
dc.date.accessioned | 2023-03-09T13:03:08Z | |
dc.date.available | 2023-03-09T13:03:08Z | |
dc.date.issued | 2023-03-17 | |
dc.identifier | 101942 | |
dc.identifier | S2666-1667(22)00822-X | |
dc.identifier.citation | STAR Protocols, 2022, 4 (1), pp. 101942 - | |
dc.identifier.issn | 2666-1667 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5718 | |
dc.identifier.eissn | 2666-1667 | |
dc.identifier.eissn | 2666-1667 | |
dc.identifier.doi | 10.1016/j.xpro.2022.101942 | |
dc.description.abstract | Small 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.format | Print-Electronic | |
dc.format.extent | 101942 - | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | ELSEVIER | |
dc.relation.ispartof | STAR Protocols | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Cancer | |
dc.subject | Cell Biology | |
dc.subject | Cell culture | |
dc.subject | Cell-based Assays | |
dc.subject | High Throughput Screening | |
dc.subject | Single Cell | |
dc.title | Quantitative imaging of single-cell phenotypes in cancer cells cultured on hydrogel surfaces. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2022-11-24 | |
dc.date.updated | 2023-03-09T13:01:44Z | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1016/j.xpro.2022.101942 | |
rioxxterms.licenseref.startdate | 2022-12-15 | |
rioxxterms.type | Journal Article/Review | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/36525347 | |
pubs.issue | 1 | |
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-status | Published online | |
pubs.publisher-url | http://dx.doi.org/10.1016/j.xpro.2022.101942 | |
pubs.volume | 4 | |
icr.researchteam | Dynamical Cell Systems | |
dc.contributor.icrauthor | Bousgouni, Paraskevi | |
dc.contributor.icrauthor | Bakal, Christopher | |
icr.provenance | Deposited 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 | |