2024
Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort
Jaber Chehayeb R, Singh J, Matute-Martinez C, Chen N, Guajardo A, Lin D, Jayakrishnan R, Christofides A, Leveille E, Im Y, Biancon G, VanOudenhove J, Ibrahim E, Ardasheva A, Jha A, Hwa J, Halene S, Kwan J. Clonal hematopoiesis of indeterminate potential is associated with increased risk of immune checkpoint inhibitor myocarditis in a prospective study of a cardio-oncology cohort. Cardio-Oncology 2024, 10: 84. PMID: 39587635, PMCID: PMC11590368, DOI: 10.1186/s40959-024-00289-z.Peer-Reviewed Original ResearchImmune checkpoint inhibitor myocarditisImmune checkpoint inhibitorsImmune checkpoint inhibitor useICI-myocarditisIndeterminate potentialProspective studyImmune checkpoint inhibitor therapyCancer therapyClonal hematopoiesis of indeterminate potentialCancer treated with immunotherapyIncreased T cell activationObstructive coronary artery diseaseMultivariate competing risk analysisCardiotoxic cancer therapyRisks Cox regressionAssociated with increased riskIncreased all-cause mortalityPatient co-morbiditiesRisk of cardiomyopathyT cell activationCompeting risk analysisCoronary artery calcificationCoronary artery diseaseAll-cause mortalityHeart failure patientsGPR68 supports AML cells through the calcium/calcineurin pro-survival pathway and confers chemoresistance by mediating glucose metabolic symbiosis
He X, Hawkins C, Lawley L, Phan T, Park I, Joven N, Zhang J, Wunderlich M, Mizukawa B, Pei S, Patel A, VanOudenhove J, Halene S, Fang J. GPR68 supports AML cells through the calcium/calcineurin pro-survival pathway and confers chemoresistance by mediating glucose metabolic symbiosis. Biochimica Et Biophysica Acta (BBA) - Molecular Basis Of Disease 2024, 1871: 167565. PMID: 39522891, DOI: 10.1016/j.bbadis.2024.167565.Peer-Reviewed Original ResearchAcute myeloid leukemiaAcute myeloid leukemia cellsPro-survival pathwaysInhibiting isocitrate dehydrogenaseMetabolic symbiosisMyelodysplastic syndromeHematopoietic malignanciesExtracellular acidosisAssociated with inferior clinical outcomesCellular respirationFirst-line chemotherapeutic agentAcute myeloid leukemia patientsInferior clinical outcomesAerobic glycolysisCell survival in vitroEngraftment in vivoDecreased Ca<sup>2+</sup> levelDecreased aerobic glycolysisSurvival in vitroGlucose metabolic pathwaysG protein-coupled receptor 68Impacts chemosensitivityIn vitro observationsTumoricidal effectMyeloid leukemiaImpact of Sepsis and Stress Hematopoiesis on the Acquisition and Persistence of Clonal Hematopoiesis
Ogbue O, Kewan T, Unlu S, Lakhotiya K, Mehkri O, Ellison R, Fadell F, Reynolds M, Cheema A, Durmaz A, Brady Z, VanOudenhove J, Singh A, Visconte V, Mendez L, Bosler D, Duggal A, Halene S, Al-Jaghbeer M, Maciejewski J, Gurnari C. Impact of Sepsis and Stress Hematopoiesis on the Acquisition and Persistence of Clonal Hematopoiesis. Blood 2024, 144: 5634-5634. DOI: 10.1182/blood-2024-209240.Peer-Reviewed Original ResearchCHIPSequential Organ Failure AssessmentClonal hematopoiesisStress hematopoiesisEmergence of CHMedian followOrgan dysfunctionMyeloid genesClonal hematopoiesis of indeterminate potentialDegree of organ dysfunctionFrequent somatic variantsOvert septic shockHistory of malignancyAssociated with higher incidenceLongitudinal blood samplesOrgan Failure AssessmentHistory of smokingObservational multicenter studyDiagnosis of sepsisImpact of sepsisDegree of leukocytosisMultivariate logistic regressionRecurrent infectious episodesClonal burdenMedian ANCO6-Guanine Targeting Novel DNA Cross-Linker and ATR Inhibitor Combination for MGMT-Silenced IDH1/2 Mutant Acute Myeloid Leukemia
Bhardwaj P, Sundaram R, Friedman S, Baassiri A, Matthews M, VanOudenhove J, Gueble S, Halene S, Bindra R. O6-Guanine Targeting Novel DNA Cross-Linker and ATR Inhibitor Combination for MGMT-Silenced IDH1/2 Mutant Acute Myeloid Leukemia. Blood 2024, 144: 6130. DOI: 10.1182/blood-2024-210621.Peer-Reviewed Original ResearchAML patient samplesHematologic adverse effectsMGMT promoter hypermethylationPatient-derived xenograftsDe novoMismatch repairO6 position of guaninePromoter hypermethylationMyelodysplastic syndromeRNA-seq analysisMyeloid leukemiaATR inhibitorsDNA repair proteinsClinical trialsSelection of mutationsFunctional mismatch repairPatient samplesMutant acute myeloid leukemiaBiomarker-targeted therapiesCell line pairsAlkylation DNA damageMutant IDH1/2 inhibitorsRNA-seqCases of AMLMGMT promoter methylationClonal Dissection of MDS and Secondary AML Resolves Shared Splicing Neoantigens and Mechanistic Underpinnings of Hypomethylating Agent Therapeutic Response
Zhang X, Li G, Oliverio A, VanOudenhove J, DeZern A, Ghiaur G, Halene S, Grimes H, Salomonis N. Clonal Dissection of MDS and Secondary AML Resolves Shared Splicing Neoantigens and Mechanistic Underpinnings of Hypomethylating Agent Therapeutic Response. Blood 2024, 144: 1810-1810. DOI: 10.1182/blood-2024-211099.Peer-Reviewed Original ResearchHematopoietic stem cellsHypomethylating agent therapyHypomethylating agentsMyelodysplastic syndromeSecondary AMLBone marrow hematopoietic stem cellsHigh-risk myelodysplastic syndromeQuiescent hematopoietic stem cellsMarrow hematopoietic stem cellsSplicing alterationsPrimary myelodysplastic syndromesMyelodysplastic syndrome patientsGene programHeterogeneous hematological disorderMDS therapyAged bone marrowAssociated with down-regulationHuman hematopoietic progenitorsSingle-cell populationsAssociated with mutationsSurface protein expressionGene expressionCell statesIllumina short readsPrimitive HSCsUnraveling the Drivers of the Stress Granule Signature in Splicing Factor-Mutant Myeloid Malignancies
Biancon G, Busarello E, Cheng M, Sidoli S, VanOudenhove J, Bucciarelli G, Tebaldi T, Halene S. Unraveling the Drivers of the Stress Granule Signature in Splicing Factor-Mutant Myeloid Malignancies. Blood 2024, 144: 4117. DOI: 10.1182/blood-2024-211265.Peer-Reviewed Original ResearchRNA-binding proteinsStress granulesRNA-seqArsenite stressSF mutationsAcute myeloid leukemiaSplicing factorsSG proteinsStress responseClonal advantageSG coresMulti-omicsDeregulated genesMyelodysplastic syndromeEnhances SG formationU2AF1 S34F mutationSingle-cell RNA-seqWT cellsMegakaryocyte-erythroid progenitorsRegulation of translationTranslation initiation factorsImprove cell fitnessRNA-seq analysisPost-translational modificationsU2AF1 mutationsMISTRG6kitW41: Enhanced Engraftment in a Cytokine Humanized Patient-Derived Xenotransplantation Mouse Model
Baassiri A, Maziarz J, Blackburn H, Maul-Newby H, VanOudenhove J, Zhang X, Matthews M, Paul S, Liu W, Sefik E, Salomonis N, Grimes H, Flavell R, Halene S. MISTRG6kitW41: Enhanced Engraftment in a Cytokine Humanized Patient-Derived Xenotransplantation Mouse Model. Blood 2024, 144: 1815-1815. DOI: 10.1182/blood-2024-211908.Peer-Reviewed Original ResearchPeripheral blood-mobilized stem cellsAcute myeloid leukemiaProgression to secondary acute myeloid leukemiaHematopoietic stem cellsWeeks post-engraftmentSecondary acute myeloid leukemiaStudies of myelodysplastic syndromesMyelodysplastic syndromeCD34+ cellsEngraftment levelsPeripheral bloodBone marrowK micePost-engraftmentMouse modelNSG miceMDS samplesEngraftment of human hematopoietic stem cellsEnhanced engraftmentProgression to acute myeloid leukemiaHealthy donor peripheral bloodHuman CD45+ cellsHuman hematopoietic stem cellsAnalysis of CD34+ cellsPercentage of lymphoid cellsA Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML)
Lanino L, Hunter A, Gagelmann N, Robin M, Sala C, Dall'Olio D, Gurnari C, Dall'Olio L, Wang Y, Pleyer L, Xicoy B, Montalban-Bravo G, Shih L, Haque T, Abdel-Wahab O, Geissler K, Bataller A, Bazinet A, Meggendorfer M, Casetti I, Sauta E, Travaglino E, Palomo L, Zamora L, Quintela D, Jerez A, Cornejo E, Garcia Martin P, Díaz-Beyá M, Avendaño Pita A, Roldan V, Fiallo Suarez D, Cerezo Velasco E, Calabuig M, Such E, Sanz G, Kubasch A, Castilla-Llorente C, Bulabois C, Souchet L, Awada H, Bernardi M, Chiusolo P, Curti A, Giaccone L, Onida F, Borin L, Passamonti F, Diral E, Vucinic V, Bergonzi G, Voso M, Hou H, Chou W, Yao C, Lin C, Tien H, Campagna A, Ubezio M, Russo A, Todisco G, Maggioni G, Tentori C, Buizza A, Asti G, Zampini M, Riva E, Delleani M, Consagra A, Ficara F, Santoro A, Carota L, Sanavia T, Rollo C, Kiwan A, VanOudenhove J, Fariselli P, Al Ali N, Sallman D, Kern W, Garcia-Manero G, Thota S, Griffiths E, Follo M, Finelli C, Platzbecker U, Sole F, Diez-Campelo M, Maciejewski J, Bejar R, Thol F, Kröger N, Fenaux P, Itzykson R, Graubert T, Fontenay M, Zeidan A, Komrokji R, Santini V, Haferlach T, Germing U, D'Amico S, Castellani G, Patnaik M, Solary E, Padron E, Della Porta M. A Molecular-Based Ecosystem to Improve Personalized Medicine in Patients with Chronic Myelomonocytic Leukemia (CMML). Blood 2024, 144: 1003-1003. DOI: 10.1182/blood-2024-200104.Peer-Reviewed Original ResearchChronic myelomonocytic leukemiaLeukemia-free survivalMyeloid neoplasmsProportion of patientsOverall survivalMolecular-based toolsMolecular informationEvaluation of mutation statusInfluence disease phenotypeGenomic overlapScoring systemGenomic associationsGenomic featuresSplicing machineryConcordance indexGenomic characterizationChronic myelomonocytic leukemia patientsMedian leukemia-free survivalProbability of disease relapseAllogeneic stem cell transplantationSignal transductionGenomic heterogeneityRisk of disease progressionMulti-color flow cytometryMutation screeningAplastic anemia in association with multiple myeloma: clinical and pathophysiological insights
Muradashvili T, Liu Y, VanOudenhove J, Gu S, Krause D, Montanari F, Carlino M, Mancuso R, Stempel J, Halene S, Zeidan A, Podoltsev N, Neparidze N. Aplastic anemia in association with multiple myeloma: clinical and pathophysiological insights. Leukemia & Lymphoma 2024, 65: 2182-2189. PMID: 39225418, DOI: 10.1080/10428194.2024.2393260.Peer-Reviewed Original ResearchAplastic anemiaMultiple myelomaImmunosuppressive therapyTransfusion requirementsProgenitor cellsPlasma cell-directed therapyT-cell destructionCell-directed therapiesInhibition of erythroid colony formationErythroid colony formationLevels of IL8Severe AAImmune cytopeniasPartial responseMM patientsHematopoietic stemSerum testsPartial improvementPathophysiological insightsPatientsImmune systemPlatelet apoptosisCytopeniasColony formationMyelomaClonal Hematopoiesis Is Associated With Cardiomyopathy During Solid Tumor Therapy
Leveille E, Cheheyeb R, Matute-Martinez C, Chen N, Jayakrishnan R, Christofides A, Lin D, Im Y, Biancon G, VanOudenhove J, Halene S, Kwan J. Clonal Hematopoiesis Is Associated With Cardiomyopathy During Solid Tumor Therapy. JACC CardioOncology 2024, 6: 605-607. PMID: 39239339, PMCID: PMC11372300, DOI: 10.1016/j.jaccao.2024.05.013.Peer-Reviewed Original Research
2023
CAR T-Related Toxicities Based on Dynamic Proteomic Profiles Identifies Risk Factors for Cytokine Release Syndrome (CRS) and Immune Effector Cell -Associated Neurotoxicity Syndrome (ICANS)
Kewan T, Mirza S, Pine A, Rasheed Y, Hamouche R, Leveille E, Goshua G, Gu S, Liu Y, Vanoudenhove J, Bar N, Neparidze N, Foss F, Gowda L, Isufi I, Halene S, Lee A, Seropian S. CAR T-Related Toxicities Based on Dynamic Proteomic Profiles Identifies Risk Factors for Cytokine Release Syndrome (CRS) and Immune Effector Cell -Associated Neurotoxicity Syndrome (ICANS). Blood 2023, 142: 2132. DOI: 10.1182/blood-2023-187295.Peer-Reviewed Original ResearchCytokine release syndromeDiffuse large B-cell lymphomaCAR T-cell therapyCAR T-cell productsCAR-T productsNon-Hodgkin lymphomaBest cutoff pointMultiple myelomaHigher oddsDay 3Risk factorsTime pointsCutoff pointDay 5Day 0Median absolute lymphocyte countChimeric antigen receptor T cellsRefractory non-Hodgkin lymphomaCAR T-cell infusionAntigen receptor T cellsLarge B-cell lymphomaCAR-T activationFludarabine/cyclophosphamideHigher baseline CRPPossible inflammatory mediatorsImpact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant.
VanOudenhove J, Liu Y, Nelakanti R, Kim D, Busarello E, Ovalle NT, Qi Z, Mamillapalli P, Siddon A, Bai Z, Axtmayer A, Corso C, Kothari S, Foss F, Isufi I, Tebaldi T, Gowda L, Fan R, Seropian S, Halene S. Impact of Memory T Cells on SARS-COV-2 Vaccine Response in Hematopoietic Stem Cell Transplant. BioRxiv 2023 PMID: 37961434, DOI: 10.1101/2023.10.26.564259.Peer-Reviewed Original Research In PressMicrofluidic Immuno‐Serolomic Assay Reveals Systems Level Association with COVID‐19 Pathology and Vaccine Protection (Small Methods 10/2023)
Kim D, Biancon G, Bai Z, VanOudenhove J, Liu Y, Kothari S, Gowda L, Kwan J, Buitrago‐Pocasangre N, Lele N, Asashima H, Racke M, Wilson J, Givens T, Tomayko M, Schulz W, Longbrake E, Hafler D, Halene S, Fan R. Microfluidic Immuno‐Serolomic Assay Reveals Systems Level Association with COVID‐19 Pathology and Vaccine Protection (Small Methods 10/2023). Small Methods 2023, 7 DOI: 10.1002/smtd.202370057.Peer-Reviewed Original ResearchIntegrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes
Yankee T, Oh S, Winchester E, Wilderman A, Robinson K, Gordon T, Rosenfeld J, VanOudenhove J, Scott D, Leslie E, Cotney J. Integrative analysis of transcriptome dynamics during human craniofacial development identifies candidate disease genes. Nature Communications 2023, 14: 4623. PMID: 37532691, PMCID: PMC10397224, DOI: 10.1038/s41467-023-40363-1.Peer-Reviewed Original ResearchConceptsGene co-expression analysisSingle-cell RNA-seqCraniofacial disordersSet of genesCo-expression analysisTranscriptome dynamicsDevelopmental enhancersRegulatory hubEpigenomic dataCraniofacial developmentRNA-seqDe novo mutationsDisease genesGene expressionIntegrative analysisCraniofacial tissuesGenesNovo mutationsHuman tissuesMutationsDevelopment identifiesCommon congenital defectsWeeks post conceptionPost conceptionCraniofacial region
2022
Is it the time to integrate novel sequencing technologies into clinical practice?
VanOudenhove J, Halene S, Mendez L. Is it the time to integrate novel sequencing technologies into clinical practice? Current Opinion In Hematology 2022, 30: 70-77. PMID: 36602939, DOI: 10.1097/moh.0000000000000754.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsNovel sequencing technologiesSequencing technologiesUnprecedented biological insightsNext-generation sequencing techniquesDNA sequencing technologiesHigh-throughput NGSRare cell populationsBiological insightsMultiomics approachSequencing techniquesGenotype-phenotype correlationClonal diversityCellular resolutionMechanistic insightsCell populationsPhenotype correlationMyeloid diseasesClonesClonal hierarchyClonal haematopoiesisResidual clonesInsightsSeqDiversityImproved captureNIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
Lee P, Benz C, Blood P, Börner K, Campisi J, Chen F, Daldrup-Link H, De Jager P, Ding L, Duncan F, Eickelberg O, Fan R, Finkel T, Furman D, Garovic V, Gehlenborg N, Glass C, Heckenbach I, Joseph Z, Katiyar P, Kim S, Königshoff M, Kuchel G, Lee H, Lee J, Ma J, Ma Q, Melov S, Metis K, Mora A, Musi N, Neretti N, Passos J, Rahman I, Rivera-Mulia J, Robson P, Rojas M, Roy A, Scheibye-Knudsen M, Schilling B, Shi P, Silverstein J, Suryadevara V, Xie J, Wang J, Wong A, Niedernhofer L, Wang S, Anvari H, Balough J, Benz C, Bons J, Brenerman B, Evans W, Gerencser A, Gregory H, Hansen M, Justice J, Kapahi P, Murad N, O’Broin A, Pavone M, Powell M, Scott G, Shanes E, Shankaran M, Verdin E, Winer D, Wu F, Adams A, Blood P, Bueckle A, Cao-Berg I, Chen H, Davis M, Filus S, Hao Y, Hartman A, Hasanaj E, Helfer J, Herr B, Joseph Z, Molla G, Mou G, Puerto J, Quardokus E, Ropelewski A, Ruffalo M, Satija R, Schwenk M, Scibek R, Shirey W, Sibilla M, Welling J, Yuan Z, Bonneau R, Christiano A, Izar B, Menon V, Owens D, Phatnani H, Smith C, Suh Y, Teich A, Bekker V, Chan C, Coutavas E, Hartwig M, Ji Z, Nixon A, Dou Z, Rajagopal J, Slavov N, Holmes D, Jurk D, Kirkland J, Lagnado A, Tchkonia T, Abraham K, Dibattista A, Fridell Y, Howcroft T, Jhappan C, Montes V, Prabhudas M, Resat H, Taylor V, Kumar M, Suryadevara V, Cigarroa F, Cohn R, Cortes T, Courtois E, Chuang J, Davé M, Domanskyi S, Enninga E, Eryilmaz G, Espinoza S, Gelfond J, Kirkland J, Kuchel G, Kuo C, Lehman J, Aguayo-Mazzucato C, Meves A, Rani M, Sanders S, Thibodeau A, Tullius S, Ucar D, White B, Wu Q, Xu M, Yamaguchi S, Assarzadegan N, Cho C, Hwang I, Hwang Y, Xi J, Adeyi O, Aliferis C, Bartolomucci A, Dong X, DuFresne-To M, Ikramuddin S, Johnson S, Nelson A, Niedernhofer L, Revelo X, Trevilla-Garcia C, Sedivy J, Thompson E, Robbins P, Wang J, Aird K, Alder J, Beaulieu D, Bueno M, Calyeca J, Chamucero-Millaris J, Chan S, Chung D, Corbett A, Gorbunova V, Gowdy K, Gurkar A, Horowitz J, Hu Q, Kaur G, Khaliullin T, Lafyatis R, Lanna S, Li D, Ma A, Morris A, Muthumalage T, Peters V, Pryhuber G, Reader B, Rosas L, Sembrat J, Shaikh S, Shi H, Stacey S, Croix C, Wang C, Wang Q, Watts A, Gu L, Lin Y, Rabinovitch P, Sweetwyne M, Artyomov M, Ballentine S, Chheda M, Davies S, DiPersio J, Fields R, Fitzpatrick J, Fulton R, Imai S, Jain S, Ju T, Kushnir V, Link D, Ben Major M, Oh S, Rapp D, Rettig M, Stewart S, Veis D, Vij K, Wendl M, Wyczalkowski M, Craft J, Enninful A, Farzad N, Gershkovich P, Halene S, Kluger Y, VanOudenhove J, Xu M, Yang J, Yang M. NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging 2022, 2: 1090-1100. PMID: 36936385, PMCID: PMC10019484, DOI: 10.1038/s43587-022-00326-5.Peer-Reviewed Original ResearchConceptsSenescence-associated secretory phenotypeSenescent cellsSecretory phenotypeMulti-omics datasetsStable growth arrestHuman lifespanDiverse rolesGrowth arrestProinflammatory senescence-associated secretory phenotypeHuman tissuesPhenotypeMetabolic changesCellsHuman healthLifespanPhysiological healthCommon Coordinate FrameworkZebrafish models of Alx-linked frontonasal dysplasia reveal a role for Alx1 and Alx3 in the anterior segment and vasculature of the developing eye
Yoon B, Yeung P, Santistevan N, Bluhm L, Kawasaki K, Kueper J, Dubielzig R, Vanoudenhove J, Cotney J, Liao E, Grinblat Y. Zebrafish models of Alx-linked frontonasal dysplasia reveal a role for Alx1 and Alx3 in the anterior segment and vasculature of the developing eye. Biology Open 2022, 11: bio059189. PMID: 35142342, PMCID: PMC9167625, DOI: 10.1242/bio.059189.Peer-Reviewed Original ResearchConceptsALX geneAnterior neurocraniumZebrafish modelGenetic mechanismsNovel roleAnterior segment formationHomeobox transcription factorCranial neural crestOxidative stress responseParalogous genesConserved roleAnterior segment defectsAbsence of eyesEthanol toxicityTranscription factorsTranscriptomic analysisLineage labelingAlx1Midfacial morphogenesisKey regulatorNeural crestStress responseSegment formationMutantsVascular developmentMission, Organization, and Future Direction of the Serological Sciences Network for COVID-19 (SeroNet) Epidemiologic Cohort Studies
Figueiredo JC, Hirsch FR, Kushi LH, Nembhard WN, Crawford JM, Mantis N, Finster L, Merin NM, Merchant A, Reckamp KL, Melmed GY, Braun J, McGovern D, Parekh S, Corley DA, Zohoori N, Amick BC, Du R, Gregersen PK, Diamond B, Taioli E, Sariol C, Espino A, Weiskopf D, Gifoni A, Brien J, Hanege W, Lipsitch M, Zidar DA, McAlearney A, Wajnberg A, LaBaer J, Lewis E, Binder RA, Moormann AM, Forconi C, Forrester S, Batista J, Schieffelin J, Kim D, Biancon G, VanOudenhove J, Halene S, Fan R, Barouch DH, Alter G, Pinninti S, Boppana SB, Pati SK, Latting M, Karaba AH, Roback J, Sekaly R, Neish A, Brincks AM, Granger DA, Karger AB, Thyagarajan B, Thomas SN, Klein SL, Cox AL, Lucas T, Furr-Holden D, Key K, Jones N, Wrammerr J, Suthar M, Wong S, Bowman NM, Simon V, Richardson LD, McBride R, Krammer F, Rana M, Kennedy J, Boehme K, Forrest C, Granger SW, Heaney CD, Lapinski M, Wallet S, Baric RS, Schifanella L, Lopez M, Fernández S, Kenah E, Panchal AR, Britt WJ, Sanz I, Dhodapkar M, Ahmed R, Bartelt LA, Markmann AJ, Lin JT, Hagan RS, Wolfgang MC, Skarbinski J. Mission, Organization, and Future Direction of the Serological Sciences Network for COVID-19 (SeroNet) Epidemiologic Cohort Studies. Open Forum Infectious Diseases 2022, 9: ofac171. PMID: 35765315, PMCID: PMC9129196, DOI: 10.1093/ofid/ofac171.Peer-Reviewed Original ResearchCoronavirus disease 2019Disease 2019Severe acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2Respiratory syndrome coronavirus 2Healthy pregnant womenInflammatory bowel diseaseLong-term sequelaeHuman immunodeficiency virusSyndrome coronavirus 2Epidemiologic cohort studiesNational Cancer InstituteTransplant recipientsCohort studyBowel diseaseClinical outcomesImmunodeficiency virusPregnant womenAutoimmune diseasesCoronavirus 2Risk factorsCardiovascular diseaseTreatment strategiesImmune responseCancer Institute
2021
Sarcomere function activates a p53-dependent DNA damage response that promotes polyploidization and limits in vivo cell engraftment
Pettinato A, Yoo D, VanOudenhove J, Chen Y, Cohn R, Ladha F, Yang X, Thakar K, Romano R, Legere N, Meredith E, Robson P, Regnier M, Cotney J, Murry C, Hinson J. Sarcomere function activates a p53-dependent DNA damage response that promotes polyploidization and limits in vivo cell engraftment. Cell Reports 2021, 35: 109088. PMID: 33951429, PMCID: PMC8161465, DOI: 10.1016/j.celrep.2021.109088.Peer-Reviewed Original ResearchConceptsCell cycle arrestSarcomere functionHuman cardiomyocyte modelHuman cardiac regenerationInfarcted rat heartsCardiomyocyte engraftmentCell engraftmentReplicative rateRat heartDNA damage responseCardiomyocyte modelCardiac regenerationOxidative metabolismUnclear mechanismsProgressive polyploidizationCyclin B1P53-dependent DNA damage responseEngraftmentP53 activationArrestDamage responseSingle-cell transcriptomicsReplicative arrest
2020
Epigenomic and Transcriptomic Dynamics During Human Heart Organogenesis
VanOudenhove J, Yankee T, Wilderman A, Cotney J. Epigenomic and Transcriptomic Dynamics During Human Heart Organogenesis. Circulation Research 2020, 127: e184-e209. PMID: 32772801, PMCID: PMC7554226, DOI: 10.1161/circresaha.120.316704.Peer-Reviewed Original ResearchMeSH KeywordsChromatinEnhancer Elements, GeneticEpigenomicsGene Expression ProfilingGene Expression Regulation, DevelopmentalGene Regulatory NetworksGenetic VariationHeartHeart Defects, CongenitalHistone CodeHomeobox Protein Nkx-2.5HumansNAV1.5 Voltage-Gated Sodium ChannelOrganogenesisRegulatory Sequences, Ribonucleic AcidT-Box Domain ProteinsTranscriptomeConceptsRegulatory sequencesHeart enhancersHeart organogenesisGene expression network analysisWeighted gene coexpression networkGene expression dynamicsGene expression networksPutative disease genesWhole-genome sequencing dataGene coexpression networksExpression network analysisDisease-relevant genesGenome sequencing dataRare sequence alterationsHeart-specific expressionClear genetic componentChromatin stateTranscriptomic dynamicsHistone modificationsFunctional annotationExpression networksExpression dynamicsGene modulesCoexpression networkGenetic variation