2022
Investigating Sources of Zeros in 10× Single-Cell RNAseq Data
Slowik H, Zyla J, Marczyk M. Investigating Sources of Zeros in 10× Single-Cell RNAseq Data. Lecture Notes In Computer Science 2022, 13347: 71-80. DOI: 10.1007/978-3-031-07802-6_6.Peer-Reviewed Original ResearchSingle-cell levelSingle-cell RNA sequencingSingle-cell RNAseq dataNumber of transcriptsMulti-omics dataGene expression estimatesRibosomal genesRNA sequencingExpression profilingEnrichment analysisRNAseq dataBiological pathwaysSequencing platformsExpression dataGenesExpression estimatesIndividual cellsBreast cancer cell linesCancer cell linesCell linesSingle experimentLow mappabilityTranscriptsSequencingProfiling
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