Featured Publications
Cancer prognosis with shallow tumor RNA sequencing
Milanez-Almeida P, Martins A, Germain R, Tsang J. Cancer prognosis with shallow tumor RNA sequencing. Nature Medicine 2020, 26: 188-192. PMID: 32042193, DOI: 10.1038/s41591-019-0729-3.Peer-Reviewed Original ResearchConceptsCancer prognosisTumor RNA-seq dataTumor RNA sequencingPrediction of outcomeTypes of cancerClinical outcomesRNA sequencingAdverse outcomesRelative riskDisease outcomeOutcome predictionTumor RNA-seqPersonalized oncologyTranscriptional signatureCancer1–3Molecular pathwaysOutcomesPrognosisLongitudinal analysisTranscriptional pathwaysCancer
2021
Pre-existing chromatin accessibility and gene expression differences among naive CD4+ TÂ cells influence effector potential
Rogers D, Sood A, Wang H, van Beek J, Rademaker T, Artusa P, Schneider C, Shen C, Wong D, Bhagrath A, Lebel M, Condotta S, Richer M, Martins A, Tsang J, Barreiro L, François P, Langlais D, Melichar H, Textor J, Mandl J. Pre-existing chromatin accessibility and gene expression differences among naive CD4+ T cells influence effector potential. Cell Reports 2021, 37: 110064. PMID: 34852223, DOI: 10.1016/j.celrep.2021.110064.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingGene expression differencesCell receptor signalingChromatin accessibilityLineage choiceTCR signal strengthCell chromatinTranscriptional differencesRNA sequencingExpression differencesReceptor signalingLandscape differencesEffector potentialEffector lineagesThymic developmentCellsNaive CD4Self-peptide MHCChromatinCognate antigenLineagesGenesSignalingTCR interactionsKey drivers
2018
Immune regulation by glucocorticoids can be linked to cell-lineage-specific transcriptional responses
Franco L, Gadkari M, Howe K, Sun J, Kumar P, Kardava L, Biancotto A, Hu Z, Fraser I, Moir S, Germain R, Tsang J. Immune regulation by glucocorticoids can be linked to cell-lineage-specific transcriptional responses. The Journal Of Immunology 2018, 200: 48.7-48.7. DOI: 10.4049/jimmunol.200.supp.48.7.Peer-Reviewed Original ResearchTranscriptional responseReceptor signalingSpecific transcriptional responsesGenome-wide approachesTotal RNA sequencingSmall RNA sequencingB-cell receptor signalingCell receptor signalingExpression of genesDependent transcriptional responsesPrimary cell populationsB cellsTranscriptional regulationIndividual genesRNA sequencingToll-like receptor signalingNegative regulatorKey moleculesB cell activationHuman B cellsSingle intravenous doseProtein levelsAnti-inflammatory drugsImmune pathwaysCell populations
2017
Transcriptional Response of Respiratory Epithelium to Nontuberculous Mycobacteria
Matsuyama M, Martins A, Shallom S, Kamenyeva O, Kashyap A, Sampaio E, Kabat J, Olivier K, Zelazny A, Tsang J, Holland S. Transcriptional Response of Respiratory Epithelium to Nontuberculous Mycobacteria. American Journal Of Respiratory Cell And Molecular Biology 2017, 58: 241-252. PMID: 28915071, PMCID: PMC5806000, DOI: 10.1165/rcmb.2017-0218oc.Peer-Reviewed Original ResearchConceptsCholesterol biosynthesisUpregulation of genesRespiratory epitheliumGene expression signaturesCiliary genesTranscriptional responseRNA sequencingEpithelial cell infectionResponse genesInflammatory response genesHost responseCytokine/chemokine productionRespiratory epithelial cell culturesEpithelial cell culturesPulmonary nontuberculous mycobacteria (NTM) diseaseExpression signaturesMajor host responsesCytokines/chemokinesGenesRespiratory epithelial cellsCiliary functionNontuberculous mycobacteria diseaseCell infectionMultiplicity of infectionBiosynthesis
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