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 mappabilityTranscriptsSequencingProfilingComprehensive Analysis of Metabolic Isozyme Targets in Cancer
Marczyk M, Gunasekharan V, Casadevall D, Qing T, Foldi J, Sehgal R, Shan NL, Blenman KRM, O'Meara TA, Umlauf S, Surovtseva YV, Muthusamy V, Rinehart J, Perry RJ, Kibbey R, Hatzis C, Pusztai L. Comprehensive Analysis of Metabolic Isozyme Targets in Cancer. Cancer Research 2022, 82: 1698-1711. PMID: 35247885, PMCID: PMC10883296, DOI: 10.1158/0008-5472.can-21-3983.Peer-Reviewed Original ResearchConceptsPotential therapeutic targetAcetyl-CoA carboxylase 1Therapeutic targetCancer typesCell linesBreast cancer viabilityPatient-derived xenograftsNovel metabolic targetsCorresponding cell linesExpression patternsDrug treatmentMatching normal tissuesRelated commentaryTumor growthMalignant transformationSmall molecule inhibitionCancer viabilityCancer Cell Line EncyclopediaNormal tissuesMetabolic vulnerabilitiesCarboxylase 1Anticancer therapyCellular changesCell proliferationMetabolic reprogramming
2020
Multi-Omics Investigation of Innate Navitoclax Resistance in Triple-Negative Breast Cancer Cells
Marczyk M, Patwardhan GA, Zhao J, Qu R, Li X, Wali VB, Gupta AK, Pillai MM, Kluger Y, Yan Q, Hatzis C, Pusztai L, Gunasekharan V. Multi-Omics Investigation of Innate Navitoclax Resistance in Triple-Negative Breast Cancer Cells. Cancers 2020, 12: 2551. PMID: 32911681, PMCID: PMC7563413, DOI: 10.3390/cancers12092551.Peer-Reviewed Original ResearchTriple-negative breast cancer cellsCancer cellsBreast cancer cellsStress response genesMulti-omics landscapeCell population compositionDrug-induced cell deathMulti-omics investigationsCell linesBCL2 family inhibitorsSingle-cell analysisChromatin accessibilityGenome structureMDA-MB-231 triple-negative breast cancer cellsChromatin structureMethylation stateResponse genesFamily inhibitorsCell deathTNBC cell linesNumber variationsDefense mechanismsResistance mechanismsNew therapeutic strategiesGenes