Featured Publications
Control of cell state transitions
Rukhlenko O, Halasz M, Rauch N, Zhernovkov V, Prince T, Wynne K, Maher S, Kashdan E, MacLeod K, Carragher N, Kolch W, Kholodenko B. Control of cell state transitions. Nature 2022, 609: 975-985. PMID: 36104561, PMCID: PMC9644236, DOI: 10.1038/s41586-022-05194-y.Peer-Reviewed Original ResearchConceptsCell state transitionsCell fateCell statesCell fate transitionsCell fate decisionsSingle-cell dataNew biological insightsFate transitionsMovement of cellsFate decisionsWaddington landscapePhenotypic dataBiological insightsOmics datasetsOmics dataCellular modelMechanistic modelLandscape1FateCellsDevelopment pathwaysLandscapeBiologyState transitionsTherapeutic interventions
2024
Cell State Transition Models Stratify Breast Cancer Cell Phenotypes and Reveal New Therapeutic Targets
Rukhlenko O, Imoto H, Tambde A, McGillycuddy A, Junk P, Tuliakova A, Kolch W, Kholodenko B. Cell State Transition Models Stratify Breast Cancer Cell Phenotypes and Reveal New Therapeutic Targets. Cancers 2024, 16: 2354. PMID: 39001416, PMCID: PMC11240448, DOI: 10.3390/cancers16132354.Peer-Reviewed Original ResearchControl of cell movementCell linesCell statesLuminal BC cellsControl cell phenotypeWaddington landscapeTissue-derived cell linesCell movementOncogenic transformationSmall molecule inhibitorsSignaling nodeBC cell linesExpression profilesPerturbation datasetsNormal cell stateMolecule inhibitorsBC cellsCell phenotypeBasal BCBC subtypesBreast cancerOncogenic driversCellsCurrent biologicsBreast tissue cells