2022
CINS: Cell Interaction Network inference from Single cell expression data
Yuan Y, Cosme C, Adams TS, Schupp J, Sakamoto K, Xylourgidis N, Ruffalo M, Li J, Kaminski N, Bar-Joseph Z. CINS: Cell Interaction Network inference from Single cell expression data. PLOS Computational Biology 2022, 18: e1010468. PMID: 36095011, PMCID: PMC9499239, DOI: 10.1371/journal.pcbi.1010468.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBayes TheoremCell CommunicationGene Expression ProfilingLigandsMiceSequence Analysis, RNASingle-Cell AnalysisConceptsCell type interactionsSingle-cell expression dataSingle-cell RNA-seq dataRNA-seq dataScRNA-seq experimentsCell-cell interactionsExpression dataCell typesMouse datasetsNetwork inferenceCell interactionsInteraction predictionNetwork analysisInference pipelineGenesCINSProteinInteractionBayesian network analysisCharacterization of the COPD alveolar niche using single-cell RNA sequencing
Sauler M, McDonough JE, Adams TS, Kothapalli N, Barnthaler T, Werder RB, Schupp JC, Nouws J, Robertson MJ, Coarfa C, Yang T, Chioccioli M, Omote N, Cosme C, Poli S, Ayaub EA, Chu SG, Jensen KH, Gomez JL, Britto CJ, Raredon MSB, Niklason LE, Wilson AA, Timshel PN, Kaminski N, Rosas IO. Characterization of the COPD alveolar niche using single-cell RNA sequencing. Nature Communications 2022, 13: 494. PMID: 35078977, PMCID: PMC8789871, DOI: 10.1038/s41467-022-28062-9.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingRNA sequencingCell-specific mechanismsChronic obstructive pulmonary diseaseAdvanced chronic obstructive pulmonary diseaseTranscriptomic network analysisSingle-cell RNA sequencing profilesCellular stress toleranceAberrant cellular metabolismStress toleranceRNA sequencing profilesTranscriptional evidenceCellular metabolismAlveolar nicheSequencing profilesHuman alveolar epithelial cellsChemokine signalingAlveolar epithelial type II cellsObstructive pulmonary diseaseSitu hybridizationType II cellsEpithelial type II cellsSequencingCOPD pathobiologyHuman lung tissue samplesSingle-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19
Unterman A, Sumida TS, Nouri N, Yan X, Zhao AY, Gasque V, Schupp JC, Asashima H, Liu Y, Cosme C, Deng W, Chen M, Raredon MSB, Hoehn KB, Wang G, Wang Z, DeIuliis G, Ravindra NG, Li N, Castaldi C, Wong P, Fournier J, Bermejo S, Sharma L, Casanovas-Massana A, Vogels CBF, Wyllie AL, Grubaugh ND, Melillo A, Meng H, Stein Y, Minasyan M, Mohanty S, Ruff WE, Cohen I, Raddassi K, Niklason L, Ko A, Montgomery R, Farhadian S, Iwasaki A, Shaw A, van Dijk D, Zhao H, Kleinstein S, Hafler D, Kaminski N, Dela Cruz C. Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19. Nature Communications 2022, 13: 440. PMID: 35064122, PMCID: PMC8782894, DOI: 10.1038/s41467-021-27716-4.Peer-Reviewed Original ResearchMeSH KeywordsAdaptive ImmunityAgedAntibodies, Monoclonal, HumanizedCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCells, CulturedCOVID-19COVID-19 Drug TreatmentFemaleGene Expression ProfilingGene Expression RegulationHumansImmunity, InnateMaleReceptors, Antigen, B-CellReceptors, Antigen, T-CellRNA-SeqSARS-CoV-2Single-Cell AnalysisConceptsProgressive COVID-19B cell clonesSingle-cell analysisT cellsImmune responseMulti-omics single-cell analysisCOVID-19Cell clonesAdaptive immune interactionsSevere COVID-19Dynamic immune responsesGene expressionSARS-CoV-2 virusAdaptive immune systemSomatic hypermutation frequenciesCellular effectsProtein markersEffector CD8Immune signaturesProgressive diseaseHypermutation frequencyProgressive courseClassical monocytesClonesImmune interactions
2021
Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung
Schupp JC, Adams TS, Cosme C, Raredon MSB, Yuan Y, Omote N, Poli S, Chioccioli M, Rose KA, Manning EP, Sauler M, DeIuliis G, Ahangari F, Neumark N, Habermann AC, Gutierrez AJ, Bui LT, Lafyatis R, Pierce RW, Meyer KB, Nawijn MC, Teichmann SA, Banovich NE, Kropski JA, Niklason LE, Pe’er D, Yan X, Homer RJ, Rosas IO, Kaminski N. Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung. Circulation 2021, 144: 286-302. PMID: 34030460, PMCID: PMC8300155, DOI: 10.1161/circulationaha.120.052318.Peer-Reviewed Original ResearchConceptsDifferential expression analysisPrimary lung endothelial cellsLung endothelial cellsCell typesMarker genesExpression analysisSingle-cell RNA sequencing dataCross-species analysisVenous endothelial cellsEndothelial marker genesSingle-cell atlasMarker gene setsRNA sequencing dataEndothelial cellsSubsequent differential expression analysisDifferent lung cell typesResident cell typesLung cell typesCellular diversityEndothelial cell typesCapillary endothelial cellsHuman lung endothelial cellsPhenotypic diversityEndothelial diversityIndistinguishable populationsSingle-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma
Chen A, Diaz-Soto MP, Sanmamed MF, Adams T, Schupp JC, Gupta A, Britto C, Sauler M, Yan X, Liu Q, Nino G, Cruz CSD, Chupp GL, Gomez JL. Single-cell characterization of a model of poly I:C-stimulated peripheral blood mononuclear cells in severe asthma. Respiratory Research 2021, 22: 122. PMID: 33902571, PMCID: PMC8074196, DOI: 10.1186/s12931-021-01709-9.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsSevere asthmaEffector T cellsBlood mononuclear cellsT cellsHealthy controlsPoly IDendritic cellsMononuclear cellsUnstimulated peripheral blood mononuclear cellsInterferon responseTLR3 agonist poly IImpaired interferon responseMain cell subsetsNatural killer cellsPro-inflammatory profilePro-inflammatory pathwaysC stimulationCyTOF profilingHigh CD8Cell typesEffector cellsKiller cellsCell subsetsMain cell typesSingle-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics
Muus C, Luecken M, Eraslan G, Sikkema L, Waghray A, Heimberg G, Kobayashi Y, Vaishnav E, Subramanian A, Smillie C, Jagadeesh K, Duong E, Fiskin E, Torlai Triglia E, Ansari M, Cai P, Lin B, Buchanan J, Chen S, Shu J, Haber A, Chung H, Montoro D, Adams T, Aliee H, Allon S, Andrusivova Z, Angelidis I, Ashenberg O, Bassler K, Bécavin C, Benhar I, Bergenstråhle J, Bergenstråhle L, Bolt L, Braun E, Bui L, Callori S, Chaffin M, Chichelnitskiy E, Chiou J, Conlon T, Cuoco M, Cuomo A, Deprez M, Duclos G, Fine D, Fischer D, Ghazanfar S, Gillich A, Giotti B, Gould J, Guo M, Gutierrez A, Habermann A, Harvey T, He P, Hou X, Hu L, Hu Y, Jaiswal A, Ji L, Jiang P, Kapellos T, Kuo C, Larsson L, Leney-Greene M, Lim K, Litviňuková M, Ludwig L, Lukassen S, Luo W, Maatz H, Madissoon E, Mamanova L, Manakongtreecheep K, Leroy S, Mayr C, Mbano I, McAdams A, Nabhan A, Nyquist S, Penland L, Poirion O, Poli S, Qi C, Queen R, Reichart D, Rosas I, Schupp J, Shea C, Shi X, Sinha R, Sit R, Slowikowski K, Slyper M, Smith N, Sountoulidis A, Strunz M, Sullivan T, Sun D, Talavera-López C, Tan P, Tantivit J, Travaglini K, Tucker N, Vernon K, Wadsworth M, Waldman J, Wang X, Xu K, Yan W, Zhao W, Ziegler C. Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics. Nature Medicine 2021, 27: 546-559. PMID: 33654293, PMCID: PMC9469728, DOI: 10.1038/s41591-020-01227-z.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAlveolar Epithelial CellsAngiotensin-Converting Enzyme 2Cathepsin LCOVID-19Datasets as TopicDemographyFemaleGene Expression ProfilingHost-Pathogen InteractionsHumansLungMaleMiddle AgedOrgan SpecificityRespiratory SystemSARS-CoV-2Sequence Analysis, RNASerine EndopeptidasesSingle-Cell AnalysisVirus InternalizationConceptsSingle-cell RNA-sequencing studiesRNA-sequencing studiesSpecific expression patternsExpression programsKey immune functionsExpression patternsSARS-CoV-2 entry genesSpecific expressionAlveolar type 2 cellsMolecular pathwaysLung parenchyma samplesCoronavirus disease 2019 (COVID-19) transmissionDifferent tissuesCellular entryGenesRespiratory epithelial cellsAirway secretory cellsSecretory cellsTumor necrosis factorEntry genesExpression levelsType 2 cellsEpithelial cellsGut tissueSpecific subset
2020
Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis.
Schupp JC, Khanal S, Gomez JL, Sauler M, Adams TS, Chupp GL, Yan X, Poli S, Zhao Y, Montgomery RR, Rosas IO, Dela Cruz CS, Bruscia EM, Egan ME, Kaminski N, Britto CJ. Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis. American Journal Of Respiratory And Critical Care Medicine 2020, 202: 1419-1429. PMID: 32603604, PMCID: PMC7667912, DOI: 10.1164/rccm.202004-0991oc.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAirway ResistanceCystic FibrosisFemaleHumansInflammationMaleMiddle AgedSingle-Cell AnalysisTranscriptional ActivationConceptsCF lung diseaseHealthy control subjectsImmune dysfunctionLung diseaseCystic fibrosisControl subjectsSputum cellsAbnormal chloride transportLung mononuclear phagocytesInnate immune dysfunctionDivergent clinical coursesImmune cell repertoireMonocyte-derived macrophagesCF monocytesAirway inflammationClinical courseProinflammatory featuresCell survival programInflammatory responseTissue injuryCell repertoireImmune functionTranscriptional profilesAlveolar macrophagesMononuclear phagocytesCollagen-producing lung cell atlas identifies multiple subsets with distinct localization and relevance to fibrosis
Tsukui T, Sun KH, Wetter JB, Wilson-Kanamori JR, Hazelwood LA, Henderson NC, Adams TS, Schupp JC, Poli SD, Rosas IO, Kaminski N, Matthay MA, Wolters PJ, Sheppard D. Collagen-producing lung cell atlas identifies multiple subsets with distinct localization and relevance to fibrosis. Nature Communications 2020, 11: 1920. PMID: 32317643, PMCID: PMC7174390, DOI: 10.1038/s41467-020-15647-5.Peer-Reviewed Original ResearchConceptsCollagen-producing cellsSitu hybridization showDisease-relevant phenotypesCell atlasDistinct localizationExpression of CTHRC1Fibrotic lungsDifferent compartmentsPulmonary fibrosisDistinct anatomical localizationCellsCTHRC1Murine lungFibroblastsIdiopathic pulmonary fibrosisAdoptive transfer experimentsLocalizationSubpopulationsComplex architectureTransfer experimentsFibroblastic fociPathologic fibrosisPathologic scarringScleroderma patientsSimilar heterogeneityPlatform Effects on Regeneration by Pulmonary Basal Cells as Evaluated by Single-Cell RNA Sequencing
Greaney AM, Adams TS, Raredon M, Gubbins E, Schupp JC, Engler AJ, Ghaedi M, Yuan Y, Kaminski N, Niklason LE. Platform Effects on Regeneration by Pulmonary Basal Cells as Evaluated by Single-Cell RNA Sequencing. Cell Reports 2020, 30: 4250-4265.e6. PMID: 32209482, PMCID: PMC7175071, DOI: 10.1016/j.celrep.2020.03.004.Peer-Reviewed Original ResearchConceptsSingle-cell RNA sequencingBasal marker expressionBasal cellsChronic pulmonary diseaseRat tracheal epitheliumPulmonary diseaseRNA sequencingCell-based therapiesRat tracheaAir-liquid interfaceTissue graftMarker expressionTracheal epitheliumRegenerative outcomesTracheaEpithelial progenitorsDifferential outcomesEpitheliumOutcomesWhole organPopulation level
2019
Single-cell connectomic analysis of adult mammalian lungs
Raredon MSB, Adams TS, Suhail Y, Schupp JC, Poli S, Neumark N, Leiby KL, Greaney AM, Yuan Y, Horien C, Linderman G, Engler AJ, Boffa DJ, Kluger Y, Rosas IO, Levchenko A, Kaminski N, Niklason LE. Single-cell connectomic analysis of adult mammalian lungs. Science Advances 2019, 5: eaaw3851. PMID: 31840053, PMCID: PMC6892628, DOI: 10.1126/sciadv.aaw3851.Peer-Reviewed Original ResearchConceptsTissue homeostasisMammalian lungSingle-cell RNA sequencing techniquesAdult mammalian lungRNA sequencing techniquesCell-cell interactionsSequencing techniquesKey pathwaysAlveolar type IFunctional roleCell typesCell populationsRegenerative medicineHomeostatic mechanismsHomeostasisFine architectureFunctional lung tissueIncomplete understandingMajor roleType ITissueRegulationPathwayAlveolar cell populationsDistal lung