2024
Gene expression meta-analysis reveals aging and cellular senescence signatures in scleroderma-associated interstitial lung disease
Yang M, Lee S, Neely J, Hinchcliff M, Wolters P, Sirota M. Gene expression meta-analysis reveals aging and cellular senescence signatures in scleroderma-associated interstitial lung disease. Frontiers In Immunology 2024, 15: 1326922. PMID: 38348044, PMCID: PMC10859856, DOI: 10.3389/fimmu.2024.1326922.Peer-Reviewed Original ResearchMeSH KeywordsAgingCellular SenescenceGene ExpressionHumansIdiopathic Pulmonary FibrosisLung Diseases, InterstitialScleroderma, SystemicConceptsScleroderma-associated interstitial lung diseaseSSc-ILDInterstitial lung diseaseLung tissueGene expression meta-analysisPulmonary fibrosisLung diseaseSenescence signatureDegree of skin involvementIdiopathic pulmonary fibrosisTelomere lengthType II alveolar cellsCellular senescence signaturesCellular senescenceIndependent of ageSkin involvementSSc skinExpression meta-analysisHealthy controlsAssociated with degreeAlveolar cellsLungMeta-analysisAging genesFibrosis
2019
Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis
Reyfman PA, Walter JM, Joshi N, Anekalla KR, McQuattie-Pimentel AC, Chiu S, Fernandez R, Akbarpour M, Chen CI, Ren Z, Verma R, Abdala-Valencia H, Nam K, Chi M, Han S, Gonzalez-Gonzalez FJ, Soberanes S, Watanabe S, Williams KJN, Flozak AS, Nicholson TT, Morgan VK, Winter DR, Hinchcliff M, Hrusch CL, Guzy RD, Bonham CA, Sperling AI, Bag R, Hamanaka RB, Mutlu GM, Yeldandi AV, Marshall SA, Shilatifard A, Amaral LAN, Perlman H, Sznajder JI, Argento AC, Gillespie CT, Dematte J, Jain M, Singer BD, Ridge KM, Lam AP, Bharat A, Bhorade SM, Gottardi CJ, Budinger GRS, Misharin AV. Single-Cell Transcriptomic Analysis of Human Lung Provides Insights into the Pathobiology of Pulmonary Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2019, 199: 1517-1536. PMID: 30554520, PMCID: PMC6580683, DOI: 10.1164/rccm.201712-2410oc.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCells, CulturedDisease Models, AnimalEpithelial CellsFemaleHumansIdiopathic Pulmonary FibrosisMaleSequence Analysis, RNAStem CellsTranscriptomeConceptsSingle-cell RNA sequencingRNA sequencingPulmonary fibrosisAlveolar macrophagesLung tissueSingle-cell transcriptomic analysisEpithelial cellsCell populationsNext-generation sequencing technologiesSingle-cell atlasHuman lungDiverse cell populationsExpression of genesRare cell populationsPulmonary fibrosis pathogenesisIdiopathic pulmonary fibrosisAirway stem cellsIndividual cell populationsTranscriptomic analysisSequencing technologiesWnt secretionRNA hybridizationSenescent cellsTransplant donorsDiscovery-based approachIncreased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study
Scott MKD, Quinn K, Li Q, Carroll R, Warsinske H, Vallania F, Chen S, Carns MA, Aren K, Sun J, Koloms K, Lee J, Baral J, Kropski J, Zhao H, Herzog E, Martinez FJ, Moore BB, Hinchcliff M, Denny J, Kaminski N, Herazo-Maya JD, Shah NH, Khatri P. Increased monocyte count as a cellular biomarker for poor outcomes in fibrotic diseases: a retrospective, multicentre cohort study. The Lancet Respiratory Medicine 2019, 7: 497-508. PMID: 30935881, PMCID: PMC6529612, DOI: 10.1016/s2213-2600(18)30508-3.Peer-Reviewed Original ResearchConceptsIdiopathic pulmonary fibrosisPulmonary fibrosisAbsolute monocyte countMonocyte countImmune cell typesElectronic health recordsPoor outcomeHigh riskSystemic sclerosisMonocyte percentageHypertrophic cardiomyopathyHigh absolute monocyte countPeripheral blood mononuclear cell samplesComplete blood count valuesSpecific immune cell typesTransplant-free survivalMulticentre cohort studyHealth recordsHigh-risk patientsBlood count valuesSame clinical presentationHigher monocyte countMononuclear cell samplesRisk of mortalityCell types