2022
TCR-sequencing in cancer and autoimmunity: barcodes and beyond
Pauken KE, Lagattuta KA, Lu BY, Lucca LE, Daud AI, Hafler DA, Kluger HM, Raychaudhuri S, Sharpe AH. TCR-sequencing in cancer and autoimmunity: barcodes and beyond. Trends In Immunology 2022, 43: 180-194. PMID: 35090787, PMCID: PMC8882139, DOI: 10.1016/j.it.2022.01.002.Peer-Reviewed Original ResearchConceptsT cell receptorT cellsMolecular barcodesProgrammed Death-1 BlockadeTCR sequencesDeath-1 blockadeUnique TCR sequencesNaïve T cellsT cell functionCell divisionMolecular phenotypesBarcodesImmune responseAntigen specificitySingle cellsCell receptorCell functionRecent technological advancesCancerTCR dataCells
2021
Adverse events induced by immune checkpoint inhibitors
Perdigoto AL, Kluger H, Herold KC. Adverse events induced by immune checkpoint inhibitors. Current Opinion In Immunology 2021, 69: 29-38. PMID: 33640598, PMCID: PMC8122053, DOI: 10.1016/j.coi.2021.02.002.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAutoantibodiesAutoantigensAutoimmune DiseasesAutoimmunityCytotoxicity, ImmunologicDrug-Related Side Effects and Adverse ReactionsGene-Environment InteractionGenetic Predisposition to DiseaseHumansImmune Checkpoint InhibitorsImmunotherapyLymphocyte ActivationNeoplasmsT-LymphocytesConceptsImmune checkpoint inhibitorsCheckpoint inhibitorsAdverse eventsT cellsImmune related adverse eventsEmergence of autoantibodiesRelated adverse eventsAnti-tumor responseAutoreactive T cellsActivated T cellsAutoimmune mechanismsTreatment of cancerAutoimmune diseasesInflammatory responsePredictive valueHost factorsToxic effectsInhibitorsDirect effectOngoing investigationAutoantibodiesCellsAutoimmunityPathogenesisCancer
2019
Transcriptomic Hallmarks of Tumor Plasticity and Stromal Interactions in Brain Metastasis
Wingrove E, Liu ZZ, Patel KD, Arnal-Estapé A, Cai WL, Melnick MA, Politi K, Monteiro C, Zhu L, Valiente M, Kluger HM, Chiang VL, Nguyen DX. Transcriptomic Hallmarks of Tumor Plasticity and Stromal Interactions in Brain Metastasis. Cell Reports 2019, 27: 1277-1292.e7. PMID: 31018140, PMCID: PMC6592283, DOI: 10.1016/j.celrep.2019.03.085.Peer-Reviewed Original ResearchConceptsBrain metastasesBrain tumor microenvironmentLineage programTumor microenvironmentTumor plasticityStromal gene expressionTranscriptomic hallmarksGene expressionTranscriptional hallmarksMultiple tumor typesMolecular landscapeStromal interactionsMajor siteIntact tissueNeuroinflammatory responseSyngeneic modelPatient biopsiesTumor typesMetastasisMalignant cellsDifferent subtypesTumor cellsHallmarkTranscriptomeCells
2008
Assessing Expression of Apoptotic Markers Using Large Cohort Tissue Microarrays
Pick E, McCarthy MM, Kluger HM. Assessing Expression of Apoptotic Markers Using Large Cohort Tissue Microarrays. Methods In Molecular Biology 2008, 414: 83-93. PMID: 18175814, DOI: 10.1007/978-1-59745-339-4_8.Peer-Reviewed Original ResearchConceptsLarge cohortApoptotic markersParaffin-embedded specimensHundreds of patientsAnti-apoptotic elementsTissue microarray technologySitu protein expressionApoptotic marker expressionTissue microarrayMarker expressionBenign cellsImmunohistochemistryProtein expressionExtrinsic pathwayExpression levelsCohortMarkersExpressionCellsPatients
2006
Association between pathways in regulatory networks
Kluger Y, Kluger H, Tuck D. Association between pathways in regulatory networks. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2006, 2006: 2036-2040. PMID: 17946929, DOI: 10.1109/iembs.2006.260730.Peer-Reviewed Original ResearchConceptsRegulatory networksCo-regulated pathwaysHuman regulatory networkRegulatory network connectivityDistinct cell typesTranscriptional regulatory levelCondition-specific networksGene regulationIndividual genesCell statesTranscriptional activityCell typesCell progressionExpression signaturesNumerous pathwaysGene profilesRemarkable connectivityMultiple pathwaysPathwayGenesRegulatory levelsRegulationExpressionCellsNotable differences