2021
Detection of differentially abundant cell subpopulations in scRNA-seq data
Zhao J, Jaffe A, Li H, Lindenbaum O, Sefik E, Jackson R, Cheng X, Flavell RA, Kluger Y. Detection of differentially abundant cell subpopulations in scRNA-seq data. Proceedings Of The National Academy Of Sciences Of The United States Of America 2021, 118: e2100293118. PMID: 34001664, PMCID: PMC8179149, DOI: 10.1073/pnas.2100293118.Peer-Reviewed Original ResearchMeSH KeywordsAgingB-LymphocytesBrainCell LineageCOVID-19CytokinesDatasets as TopicDendritic CellsGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansMelanomaMonocytesPhenotypeRNA, Small CytoplasmicSARS-CoV-2Severity of Illness IndexSingle-Cell AnalysisSkin NeoplasmsT-LymphocytesTranscriptomeConceptsDA subpopulationsIll COVID-19 patientsImmune checkpoint therapyCOVID-19 patientsSingle-cell RNA sequencing analysisCheckpoint therapyBrain tissueCell subpopulationsRNA sequencing analysisTime pointsSubpopulationsDiseased individualsDistinct phenotypesOriginal studyCell typesAbundant subpopulationSequencing analysisCellsDA measuresPhenotypeImportant differencesNonrespondersPatientsTherapy
2013
Genomic alterations in matching primary tumors and metastasis in breast cancer.
Jiang T, Szekely B, Szasz A, Kluger Y, Kulka J, Pusztai L. Genomic alterations in matching primary tumors and metastasis in breast cancer. Journal Of Clinical Oncology 2013, 31: 1549-1549. DOI: 10.1200/jco.2013.31.15_suppl.1549.Peer-Reviewed Original ResearchPrimary tumorPrimary cancerBreast cancerMetastatic lesionsDisease historyExtensive prior therapyPrimary breast cancerLonger disease historyWhole-exome sequencingDifferent tumor sitesFunctional impactPrior therapyNucleotide variantsMetastasisPatientsTumor siteTumorsCancerNormal tissuesCancer samplesExome sequencingGenomic alterationsLesionsMore mutationsExon Kit