Jennifer VanOudenhove, PhD
Associate Research ScientistCards
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Research
Publications
Featured Publications
Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease
Busarello E, Biancon G, Cimignolo I, Lauria F, Ibnat Z, Ramirez C, Tomè G, Ciuffreda M, Bucciarelli G, Pilli A, Marino S, Bontempi V, Ress F, Aass K, VanOudenhove J, Tiberi L, Mione M, Standal T, Macchi P, Viero G, Halene S, Tebaldi T. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in health and disease. Nature Communications 2025, 16: 5399. PMID: 40623970, PMCID: PMC12234662, DOI: 10.1038/s41467-025-60900-4.Peer-Reviewed Original ResearchConceptsSingle-cellBiological interpretationCell typesSingle-cell technologiesIdentification of cell typesMultiple single-cellPhysiological cell typesSingle-cell populationsCellular heterogeneityDisease contextsInconsistent annotationsMurine tissuesWeight markersAnnotationCellsSpatial populationAnnotation accuracyPathological processesAvailable databasesMarkersPotential biomarkersAutomatic annotationPhysiologyUnique opportunityDiseaseImpact 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 N, 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. PLOS ONE 2025, 20: e0320744. PMID: 40294012, PMCID: PMC12036906, DOI: 10.1371/journal.pone.0320744.Peer-Reviewed Original ResearchConceptsHematopoietic stem cell transplantationMemory T cellsStem cell transplantationCell transplantationT cellsSARS-CoV-2Hematopoietic stem cell transplant recipientsAntigen-specific T-cell activationSARS-CoV-2 mRNA vaccinesSARS-CoV-2 vaccine responsesSevere diseaseAnti-spike IgGT cell activationAdaptive immune responsesRobust antibody responsesPost-vaccination responseSARS-CoV-2 infectionMRNA vaccine seriesSingle-cell RNAMyeloablative chemotherapyCellular responsesImmune profileVaccine responseCOVID-19 infectionMRNA vaccinesAplastic 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 formationMyeloma
2025
EVALUATION OF CLONAL HEMATOPOIESIS OF INDETERMINATE POTENTIAL (CHIP) RISK SCORE (CHRS) AS A PROGNOSTIC MARKER FOR DEATH IN A CARDIO-ONCOLOGY COHORT
Singh J, Im Y, Chehayeb R, Yi I, Martinez C, Jayakrishnan R, Guajardo A, Vanoudenhove J, Halene S, Jha A, Kwan J. EVALUATION OF CLONAL HEMATOPOIESIS OF INDETERMINATE POTENTIAL (CHIP) RISK SCORE (CHRS) AS A PROGNOSTIC MARKER FOR DEATH IN A CARDIO-ONCOLOGY COHORT. Journal Of The American College Of Cardiology 2025, 85: 2793. DOI: 10.1016/s0735-1097(25)03277-2.Peer-Reviewed Original ResearchIn the time of COVID-19: challenges, successes, and lessons learned from studies in cancer patients
Mack P, Crawford J, Chang A, Yin A, Klein S, Shea P, Hirsch F, Zidar D, Simon V, Gleason C, McBride R, Cordon-Cardo C, VanOudenhove J, Halene S, Lee F, Mantis N, Kushi L, Weiskopf D, Merchant A, Reckamp K, Skarbinski J, Figueiredo J. In the time of COVID-19: challenges, successes, and lessons learned from studies in cancer patients. Journal Of The National Cancer Institute 2025, 117: 1547-1556. PMID: 40127178, PMCID: PMC12342778, DOI: 10.1093/jnci/djaf073.Peer-Reviewed Original ResearchChanging public health landscapePublic health landscapeEnrollment of participantsSARS-CoV-2National Cancer InstituteRisk of SARS-CoV-2 infectionU.S. National Cancer InstituteNational Institute of AllergyOverall healthHealth landscapeSelf-ReportCohort studyStudy designBiospecimen collectionInstitute of AllergySARS-CoV-2 infectionCancer InstituteStandard serological testsData elementsStudy immune responsesHematologic malignanciesClinicopathological dataNational InstituteCancer patientsCOVID-19
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 Ca2+ 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 ANCUnraveling 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 mutationsA 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 screening
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