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 replication
2014
Comparative analysis of the transcriptome across distant species
Gerstein MB, Rozowsky J, Yan KK, Wang D, Cheng C, Brown JB, Davis CA, Hillier L, Sisu C, Li JJ, Pei B, Harmanci AO, Duff MO, Djebali S, Alexander RP, Alver BH, Auerbach R, Bell K, Bickel PJ, Boeck ME, Boley NP, Booth BW, Cherbas L, Cherbas P, Di C, Dobin A, Drenkow J, Ewing B, Fang G, Fastuca M, Feingold EA, Frankish A, Gao G, Good PJ, Guigó R, Hammonds A, Harrow J, Hoskins RA, Howald C, Hu L, Huang H, Hubbard TJ, Huynh C, Jha S, Kasper D, Kato M, Kaufman TC, Kitchen RR, Ladewig E, Lagarde J, Lai E, Leng J, Lu Z, MacCoss M, May G, McWhirter R, Merrihew G, Miller DM, Mortazavi A, Murad R, Oliver B, Olson S, Park PJ, Pazin MJ, Perrimon N, Pervouchine D, Reinke V, Reymond A, Robinson G, Samsonova A, Saunders GI, Schlesinger F, Sethi A, Slack FJ, Spencer WC, Stoiber MH, Strasbourger P, Tanzer A, Thompson OA, Wan KH, Wang G, Wang H, Watkins KL, Wen J, Wen K, Xue C, Yang L, Yip K, Zaleski C, Zhang Y, Zheng H, Brenner SE, Graveley BR, Celniker SE, Gingeras TR, Waterston R. Comparative analysis of the transcriptome across distant species. Nature 2014, 512: 445-448. PMID: 25164755, PMCID: PMC4155737, DOI: 10.1038/nature13424.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCaenorhabditis elegansChromatinCluster AnalysisDrosophila melanogasterGene Expression ProfilingGene Expression Regulation, DevelopmentalHistonesHumansLarvaModels, GeneticMolecular Sequence AnnotationPromoter Regions, GeneticPupaRNA, UntranslatedSequence Analysis, RNATranscriptome
2010
Prediction and characterization of noncoding RNAs in C. elegans by integrating conservation, secondary structure, and high-throughput sequencing and array data
Lu ZJ, Yip KY, Wang G, Shou C, Hillier LW, Khurana E, Agarwal A, Auerbach R, Rozowsky J, Cheng C, Kato M, Miller DM, Slack F, Snyder M, Waterston RH, Reinke V, Gerstein MB. Prediction and characterization of noncoding RNAs in C. elegans by integrating conservation, secondary structure, and high-throughput sequencing and array data. Genome Research 2010, 21: 276-285. PMID: 21177971, PMCID: PMC3032931, DOI: 10.1101/gr.110189.110.Peer-Reviewed Original ResearchConceptsNovel ncRNA candidatesNcRNA candidatesC. elegansC. elegans genomeWhole-genome identificationSpecific transcription factorsHigh-throughput sequencingDistinct expression patternsSecondary structure stabilityEvolutionary conservationGenomic elementsModENCODE consortiumNucleic acid levelIntergenic regionTranscription factorsPotential ncRNAsExpression patternsExpression dataDevelopmental stagesSecondary structureElegansNcRNAsRNAsStructural familyArray data