2022
Single-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
Dynamic innate immune response determines susceptibility to SARS-CoV-2 infection and early replication kinetics
Cheemarla NR, Watkins TA, Mihaylova VT, Wang B, Zhao D, Wang G, Landry ML, Foxman EF. Dynamic innate immune response determines susceptibility to SARS-CoV-2 infection and early replication kinetics. Journal Of Experimental Medicine 2021, 218: e20210583. PMID: 34128960, PMCID: PMC8210587, DOI: 10.1084/jem.20210583.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAngiotensin-Converting Enzyme 2Case-Control StudiesChemokine CXCL10COVID-19Disease SusceptibilityFemaleGene Expression ProfilingHost-Pathogen InteractionsHumansImmunity, InnateInterferonsMaleMiddle AgedNasopharynxPicornaviridae InfectionsSARS-CoV-2Viral LoadVirus ReplicationConceptsSARS-CoV-2 infectionSARS-CoV-2 exposureSARS-CoV-2Interferon-stimulated genesUpper respiratory tractRespiratory tractEarly SARS-CoV-2 infectionDynamic innate immune responseViral replicationSARS-CoV-2 replicationPatient nasopharyngeal samplesInnate immune responseLow infectious doseViral loadNasopharyngeal samplesImmune responseInfectious doseISG responseAntiviral responseInfection progressionViral transmissionLevel correlatesInfectionISG inductionInitial replicationSingle-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes
Ravindra NG, Alfajaro MM, Gasque V, Huston NC, Wan H, Szigeti-Buck K, Yasumoto Y, Greaney AM, Habet V, Chow RD, Chen JS, Wei J, Filler RB, Wang B, Wang G, Niklason LE, Montgomery RR, Eisenbarth SC, Chen S, Williams A, Iwasaki A, Horvath TL, Foxman EF, Pierce RW, Pyle AM, van Dijk D, Wilen CB. Single-cell longitudinal analysis of SARS-CoV-2 infection in human airway epithelium identifies target cells, alterations in gene expression, and cell state changes. PLOS Biology 2021, 19: e3001143. PMID: 33730024, PMCID: PMC8007021, DOI: 10.1371/journal.pbio.3001143.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionSARS-CoV-2Human bronchial epithelial cellsInterferon-stimulated genesCell state changesAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSyndrome coronavirus 2 infectionCell tropismCoronavirus 2 infectionCoronavirus disease 2019Onset of infectionCell-intrinsic expressionCourse of infectionAir-liquid interface culturesHost-viral interactionsBronchial epithelial cellsSingle-cell RNA sequencingCell typesIL-1Disease 2019Human airwaysDevelopment of therapeuticsDrug AdministrationViral replication
2011
A Comprehensive Analysis of Gene Expression Changes Provoked by Bacterial and Fungal Infection in C. elegans
Engelmann I, Griffon A, Tichit L, Montañana-Sanchis F, Wang G, Reinke V, Waterston RH, Hillier LW, Ewbank JJ. A Comprehensive Analysis of Gene Expression Changes Provoked by Bacterial and Fungal Infection in C. elegans. PLOS ONE 2011, 6: e19055. PMID: 21602919, PMCID: PMC3094335, DOI: 10.1371/journal.pone.0019055.Peer-Reviewed Original ResearchConceptsC. elegansGenome-wide transcriptional changesFuture functional dissectionGene expression changesInnate immune signalingFunctional dissectionTranscriptional responseAnnotation analysisTranscriptional changesD. coniosporaRNA sequencingFungal pathogensCertain genesExpression changesImmune signalingSmall proteinsStress responseElegansGenesDistinct pathogensBacterial pathogensPathogensPhysiological imbalanceFungal infectionsHost response