2023
Evaluation of zero counts to better understand the discrepancies between bulk and single-cell RNA-Seq platforms
Zyla J, Papiez A, Zhao J, Qu R, Li X, Kluger Y, Polanska J, Hatzis C, Pusztai L, Marczyk M. Evaluation of zero counts to better understand the discrepancies between bulk and single-cell RNA-Seq platforms. Computational And Structural Biotechnology Journal 2023, 21: 4663-4674. PMID: 37841335, PMCID: PMC10568495, DOI: 10.1016/j.csbj.2023.09.035.Peer-Reviewed Original ResearchSingle-cell RNA-seq platformsSingle-cell RNA sequencingBulk RNA-seq dataRNA-seq platformsNumber of transcriptsLow-expression genesRNA-seq dataSingle-cell dataExpression levelsLow sequencing depthDiscordant genesRNA sequencingSequencing technologiesExpression shiftsPathway levelBiological pathwaysGene levelSequencing depthTranscriptomic platformsGenesIndividual cellsSingle cellsRNA integrityPathwayCells
2021
Treatment scheduling effects on the evolution of drug resistance in heterogeneous cancer cell populations
Patwardhan GA, Marczyk M, Wali VB, Stern DF, Pusztai L, Hatzis C. Treatment scheduling effects on the evolution of drug resistance in heterogeneous cancer cell populations. Npj Breast Cancer 2021, 7: 60. PMID: 34040000, PMCID: PMC8154902, DOI: 10.1038/s41523-021-00270-4.Peer-Reviewed Original ResearchHeterogeneous cancer cell populationsCancer cell populationsTriple-negative breast cancerSingle-cell RNA sequencingCell populationsFitness advantageRNA sequencingMDA-MB-231 TNBC cellsDrug resistanceMechanisms of resistanceVitro screening assaysClonal dynamicsTNBC cellsScreening assaysResistant clonesPatterns of resistanceConcomitant treatmentTherapy combinationsBreast cancerClinical studiesTreatment doseTreatment scheduleBarcodesSequencingTreatment