grant
Genome-wide assessment of transcriptional state history
Organization UNIVERSITY OF COLORADO DENVERLocation Aurora, UNITED STATESPosted 1 Jul 2024Deadline 30 Apr 2029
NIHUS FederalResearch GrantFY2025BenchmarkingBest Practice AnalysisBiologicalBody TissuesBrachydanio rerioCell BodyCell Culture TechniquesCell modelCellsCellular modelChemicalsChemoresistanceCollectionDanio rerioDataDetectionDevelopmentDiseaseDisorderDissociationEventGene CombinationsGene TranscriptionGenesGeneticGenetic TranscriptionGenomeGenomicsHealthHistoryIn VitroInjuryLaboratoriesLineage TracingLocationMetastasisMetastasizeMetastatic LesionMetastatic MassMetastatic NeoplasmMetastatic TumorMethodsMiceMice MammalsModelingMurineMusNGS MethodNGS systemNatureNeoplasm MetastasisPhenotypePopulationProteomicsRNA ExpressionRecording of previous eventsReportingResistanceRetrievalRetrotransposonSecondary NeoplasmSecondary TumorSelection for TreatmentsShapesSiteSystemTechniquesTechnologyTestingTimeTissuesTranscriptionTransmissionTransposaseWorkZebra DanioZebra FishZebrafishbenchmarkbiocompatibilitybiologicbiomaterial compatibilitycancer metastasiscell culturecell culturescell lineage analysiscell lineage mappingcell lineage tracingcell lineage trackingcellular lineage mappingcellular lineage trackingchemoresistantchemotherapychemotherapy resistancechemotherapy resistantcomputational basiscomputerized data processingdata processingdevelopmentaldifferentiation factorseffective therapyeffective treatmentgenome scalegenome-widegenomewideglobal gene expressionglobal transcription profilehistoriesin vivoinjuriesinsightinterestlong read seqlong-read sequencinglong-read transcript sequencingmorphogenic factorsmorphogensnew approachesnext gen sequencingnext generation sequencingnextgen sequencingnovelnovel approachesnovel strategiesnovel strategypromoterpromotorresilienceresilientresistantresponseselection of treatmentsingle cell technologytherapy selectiontooltranscriptometranscriptomicstransmission processtreatment selectiontumortumor cell metastasis
Description preview
PROJECT SUMMARY
The accurate description of cellular states—be it on the genomic, transcriptomic, or proteomic level—has been
a major driver in the disentanglement of nature’s mysteries. Mainly supported by technological advances such
as next-generation sequencing or single-cell technologies, we now can describe the distinct cellular populations…
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