grant
Predicting Cancer Cell Response to Endogenous and Exogenous Perturbations at the Single Cell Level
Organization COLUMBIA UNIVERSITY HEALTH SCIENCESLocation NEW YORK, UNITED STATESPosted 14 Aug 2015Deadline 31 Jul 2029
NIHUS FederalResearch GrantFY2025AddressAffectAssayBehaviorBioassayBiological AssayCRISPR interferenceCRISPR-dCas9-mediated repressionCRISPR/dCas9 interferenceCRISPR/dCas9-mediated transcriptional inhibitionCRISPRiCancersCausalityCell BodyCell Communication and SignalingCell SignalingCell modelCellsCellular modelClustered Regularly Interspaced Short Palindromic Repeats interferenceDNA mutationDataDrugsEducational process of instructingEtiologyEventFundingGene TranscriptionGenerationsGenesGeneticGenetic ChangeGenetic TranscriptionGenetic defectGenetic mutationGenomeGoalsHumanIndividualInterventionIntracellular Communication and SignalingLearningLogicMalignantMalignant - descriptorMalignant CellMalignant NeoplasmsMalignant TumorMammalian CellMediatingMedicationModern ManMolecularMolecular FingerprintingMolecular ProfilingMutationNatureNormal CellOrganPharmaceutical PreparationsPhysiologicPhysiologicalPopulationProbabilistic ModelsProbability ModelsProcessProteinsProteomeRNA ExpressionRNA SeqRNA sequencingRNAseqReagentRegulationRegulatory ProteinResearchSeriesSignal TransductionSignal Transduction SystemsSignalingSignaling Factor Proto-OncogeneSignaling Pathway GeneSignaling ProteinStatistical ModelsTeachingTechnologyTimeTranscriptionbiological signal transductioncancer cellcancer microenvironmentcausationcell behaviorcellular behaviorcomputer based predictioncurative interventioncurative therapeuticcurative therapycurative treatmentsdisease causationdrug/agentexpectationforginggenetic regulatory proteingenome mutationknock-downknockdownlearning networkmalignancymolecular profilemolecular signatureneoplasm/cancernetwork modelsnovelpharmacologicpredictive modelingprogramsquantumregulatory gene productrepressing CRISPR-dCas9 systemresponsescRNA sequencingscRNA-seqsingle cell RNA-seqsingle cell RNAseqsingle cell expression profilingsingle cell transcriptomic profilingsingle-cell RNA sequencingsmall moleculestatistical linear mixed modelsstatistical linear modelssynergismtranscriptome sequencingtranscriptomic sequencingtransdifferentiationtumortumor microenvironmentvirtual
Description preview
The study of cancer has been predicated on the discovery of individual events, mechanisms, and processes that
are implicated in the malignant transformation of normal cells. The expectation has been that learning how
tumors arise would teach us how to defeat them, by providing pharmacologically actionable targets.
Unfortunately, while the etiology…
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