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 integrityPathwayCellsAssessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing
Marczyk M, Fu C, Lau R, Du L, Trevarton A, Sinn B, Gould R, Pusztai L, Hatzis C, Symmans W. Assessment of stained direct cytology smears of breast cancer for whole transcriptome and targeted messenger RNA sequencing. Cancer Cytopathology 2023, 131: 289-299. PMID: 36650408, PMCID: PMC10614161, DOI: 10.1002/cncy.22679.Peer-Reviewed Original ResearchConceptsCytology smearsBreast cancerConcordance correlation coefficientTumor tissue samplesParaffin-embedded sectionsClinical diagnostic proceduresSurgical resectionRNA sequencingTumor stromaCytologic specimensDiagnostic proceduresLin's concordance correlation coefficientPapanicolaou stainCancerTissue samplesDNA mutation testingSmearsSimilar concordanceTranscriptome RNA-SeqDiagnostic cytologyAllele fractionExpression levelsRNA-seqExpression of genesGene expression levels