Rong Fan, PhD
Harold Hodgkinson Professor of Biomedical Engineering and Professor of PathologyCards
Education
University of California, Berkeley (2006)
University of Science and Technology of China (1999)
Contact Info
Biomedical Engineering
55 Prospect St, MEC 213
New Haven, CT 06520
United States
Fan Lab
Education
University of California, Berkeley (2006)
University of Science and Technology of China (1999)
Contact Info
Biomedical Engineering
55 Prospect St, MEC 213
New Haven, CT 06520
United States
Fan Lab
Education
University of California, Berkeley (2006)
University of Science and Technology of China (1999)
Contact Info
Biomedical Engineering
55 Prospect St, MEC 213
New Haven, CT 06520
United States
Fan Lab
About
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Titles
Harold Hodgkinson Professor of Biomedical Engineering and Professor of Pathology
Biography
Dr. Rong Fan is the Harold Hodgkinson Professor of Biomedical Engineering and of Pathology. His research interest has been centered on the development and deployment of single-cell and spatial omics technologies to investigate normal development, aging, and disease. He received a B.S. in Applied Chemistry from University of Science and Technology of China, a Ph.D. in Chemistry from the University of California at Berkeley, and then completed his postdoctoral training at California Institute of Technology, prior to joining the faculty of Department of Biomedical Engineering at Yale University in 2010. He developed a microchip that allows for simultaneous measurement of 42 immune effector proteins in single cells at high throughput, which remains the highest multiplexing to date for a single-cell protein secretion assay. In collaboration with Novartis and Kite Pharma, it was applied to profiling antigen-specific activation states of chimeric antigen receptor (CAR)-engineered T cells, resulting in the discovery of novel single-cell biomarkers including polyfunctional strength index to characterize the quality of CAR-T infusion products and predict the clinical responses and immune-related adverse effects(irAEs) prior to treatment. This microchip, called IsoCode, and the automation system, called IsoLight, have been commercialized by IsoPlexis, a company co-founded by Dr. Fan. Now, this system has been used by >100 major pharmaceutical companies and cancer centers around the world for monitoring CAR-T or checkpoint inhibitor immunotherapies. Dr. Fan is also a pioneer in developing NGS-based spatial omics sequencing technologies. He conceived the concept of spatial multi-omics and developed the first spatially resolved multi-omics sequencing technology called DBiT-seq (Liu et al., Cell 183, 1665–1681, 2020) which allows for spatial co-profiling of whole transcriptome and hundreds of proteins (spatial-CITE-seq) at cellular level in complex tissues. He further developed a first-of-its-kind technology to enable spatial epigenome sequencing including spatial-ATAC-seq (Deng et al., Nature 609 (7926), 375-383, 2022) and spatial-CUT&Tag (Deng et al., Science 375 (6581), 681-686, 2022). These technologies may unlock a whole new field in spatial biology with applications in a wide range of biological and biomedical research. Dr. Fan co-founded IsoPlexis, Singleron Biotechnologies, and AtlasXomics. He is the recipient of multiple awards including the NCI Howard Temin Career Transition Award, the NSF CAREER Award, and the Packard Fellowship for Science and Engineering. He has been elected to American Institute for Medical and Biological Engineering (AIMBE), Connecticut Academy of Science and Engineering (CASE), and the National Academy of Inventors (NAI).
Appointments
Pathology
ProfessorSecondary
Other Departments & Organizations
- All Institutions
- Cancer Signaling Networks
- Center for RNA Science and Medicine
- Computational Biology and Biomedical Informatics
- Dean's Workshops
- Global Health Studies
- Human and Translational Immunology Program
- Lu Lab
- Molecular Medicine, Pharmacology, and Physiology
- Pathology
- Yale Biomedical Imaging Institute
- Yale Cancer Center
- Yale Center for Research on Aging (Y-Age)
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Stem Cell Center
- Yale Ventures
Education & Training
- PhD
- University of California, Berkeley (2006)
- BS
- University of Science and Technology of China (1999)
Research
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Overview
BioMEMS; Single-Cell Omics: Spatial Omics; Hematology Oncology; Immunology
Medical Research Interests
ORCID
0000-0001-7805-8059Fan Lab
Single-cell & Spatial Omics for Systems Biomedicine
View Lab Website
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Mina Xu, MD
Stephanie Halene, MD, Dr Med
Yang Liu, PhD
David A. Hafler, MD, FANA, MSc
Erin Longbrake, MD, PhD
Francine Foss, MD
Publications
2026
Rational design of immune gene therapy combinations via in vivo CRISPR activation screen of tumor microenvironment modulators.
Zhang F, Dong C, Chow R, Xin S, He E, Feng Y, Zhu L, Mirza D, Tian X, Yang L, Zhou L, Ling X, Han Q, Fan R, Chen S, Wang G. Rational design of immune gene therapy combinations via in vivo CRISPR activation screen of tumor microenvironment modulators. Cancer Discovery 2026 PMID: 41747251, DOI: 10.1158/2159-8290.cd-25-0545.Peer-Reviewed Original ResearchAltmetricConceptsTherapy combinationsTumor microenvironmentAntigen presentationTCR-T cell therapyAnti-tumor immunityAnti-tumor responsesSolid tumors in vivoHostile tumor microenvironmentT cell proliferationT cell activationTumor microenvironment modulationTumors in vivoCAR-TCancer immunotherapyTumor infiltrationMetastatic tumorsTCR-TTherapeutic combinationsSolid tumorsCell therapyCo-StimulationTumorMicroenvironment modulationTNFSF9Activation of genes
2025
Society for Immunotherapy of Cancer: Standards for Reporting of Multiplex Immunohistochemistry/Immunofluorescence Assays (STORMI)
Sater S, Bifulco C, Rodriguez-Canales J, Yeong J, Akturk G, Angelo M, Ballesteros-Merino C, Bankhead P, Basu S, Blando J, Brajkovic S, Cassano M, Chen B, Coskun A, Cottrell T, De Andrea C, Edwards R, Egelston C, Engle L, Ernstoff M, Fan R, Feldman M, Fox B, Galon J, Gartrell R, Gnjatic S, Green B, Gulley J, Hellebust A, Hewitt S, Hollmann T, Horn L, Howat W, Hoyt C, Jensen S, Kulasinghe A, Lassoued W, Lott S, Mansfield J, Marwitz S, Netto G, Page D, Parra E, Rimm D, Rodig S, Salgado R, Schapiro D, Schalper K, Sunshine J, Surace M, Szalay A, Thurin M, Villasboas J, Wharton K, Wistuba I, Yearley J, Yuan Y, Zaki G, Ziai J, Taube J. Society for Immunotherapy of Cancer: Standards for Reporting of Multiplex Immunohistochemistry/Immunofluorescence Assays (STORMI). Journal For ImmunoTherapy Of Cancer 2025, 13: e012280. PMID: 41423269, PMCID: PMC12718562, DOI: 10.1136/jitc-2025-012280.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsSociety for Immunotherapy of CancerSociety for ImmunotherapyImmunotherapy of cancerPractice guidelinesTumor microenvironmentMultiplex immunofluorescenceConsensus checklistBiomarker discovery effortsAntibody-based technologiesCell clustersInfectious diseasesBiomarkersAnalytical validationCross-study comparisonsSPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis
Tan Y, Kempchen T, Becker M, Haist M, Feyaerts D, Liu J, Toma M, Xiao Y, Su G, Rech A, Hölzel M, Fan R, Hickey J, Nolan G. SPACEc: a streamlined, interactive Python workflow for multiplexed image processing and analysis. Nature Communications 2025, 16: 10652. PMID: 41309581, PMCID: PMC12660697, DOI: 10.1038/s41467-025-65658-3.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsSpatial dynamics of brain development and neuroinflammation
Zhang D, Rubio Rodríguez-Kirby L, Lin Y, Wang W, Song M, Wang L, Wang L, Kanatani S, Jimenez-Beristain T, Dang Y, Zhong M, Kukanja P, Bao S, Wang S, Chen X, Gao F, Wang D, Xu H, Ma C, Lou X, Liu Y, Chen J, Sestan N, Uhlén P, Kriegstein A, Zhao H, Castelo-Branco G, Fan R. Spatial dynamics of brain development and neuroinflammation. Nature 2025, 647: 213-227. PMID: 41193846, PMCID: PMC12589135, DOI: 10.1038/s41586-025-09663-y.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsBrain developmentPostnatal day 0Chromatin accessibilitySpatial dynamicsTranscription factorsOmics informationMyelin genesDevelopmental processesProjection neuronsNeuroinflammation mouse modelMolecular programsMouse modelDisease-related alterationsTransient activationLesion coreCorpus callosumMultiplexed immunofluorescence imagesSequenceDevelopmental timepointsSpatial remodelingDay 0Mouse brainDynamics of brain developmentImmunofluorescence imagingNeuroinflammationThe new frontier in understanding human and mammalian brain development
Nowakowski T, Nano P, Matho K, Chen X, Corrigan E, Ding W, Gao Y, Heffel M, Jayakumar J, Kaplan H, Kronman F, Kovner R, Mannens C, Song M, Steyert M, Venkatesan S, Wallace J, Wang L, Werner J, Zhang D, Yuan G, Zuo G, Ament S, Colantuoni C, Dulac C, Fan R, Gillis J, Kriegstein A, Krienen F, Kim Y, Linnarsson S, Mitra P, Pollen A, Sestan N, Tward D, van Velthoven C, Yao Z, Bhaduri A, Zeng H. The new frontier in understanding human and mammalian brain development. Nature 2025, 647: 51-59. PMID: 41193845, DOI: 10.1038/s41586-025-09652-1.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMammalian brain developmentTranscriptional controlControl of cell fate specificationAttention deficit hyperactivity disorderBrain developmentMeasurement of gene expressionCell fate specificationDeficit hyperactivity disorderCross-species integrationCell-type abundanceMechanisms of brain functionHyperactivity disorderNeuropsychiatric disordersFate specificationModel organismsWhole-brainNon-human primatesBrain functionComprehensive cell atlasCell atlasNeurodevelopmental disordersDisease vulnerabilityGene expressionMotor impairmentHuman brainSpatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT
Li H, Tao B, Enninful A, Zhang D, Farzad N, Li K, Bai Z, Qin X, Hwang E, Yang M, Xu M, Fan R. Spatially decoding genotype-associated epigenetic landscapes in human lymphoma FFPE tissues via epi-Patho-DBiT. Blood 2025, 146: 5300. DOI: 10.1182/blood-2025-5300.Peer-Reviewed Original ResearchConceptsMucosa-associated lymphoid tissueDiffuse large B-cell lymphomaCopy number variationsCopy number amplificationB-cell lymphomaB-NHLFollicular lymphomaAbstract Chromatin organizationEpigenetic regulationChromatin organizationHistone modificationsEpigenetic landscapeEpigenomic profilingCopy number variation inferenceProfiling of chromatin accessibilityEpigenetic mechanismsNon-Hodgkin's B-cell lymphomaRegulation of diverse cellular functionsGenomic copy number variationsRepressive histone mark H3K27me3Large B-cell lymphomaChromosome 7 locusChromosome 2 locusH3K27me3 histone modificationLow-grade FLCellular senescence associated with aging and chemotherapy exposure primes bone marrow for immune dysfunction and myeloma persistence
Chou W, Wang J, Li X, Dhami K, Smirnov R, Rapp D, Fang X, Zhao Y, Karpova A, Houston A, Targino da Costa A, Wei X, Fortier J, Fan D, Zhang Y, Wendl M, Jayasinghe R, Slade M, Oetjen K, Vij K, Link D, Nunley R, Fan R, Vij R, Chen F, Fields R, Ding L. Cellular senescence associated with aging and chemotherapy exposure primes bone marrow for immune dysfunction and myeloma persistence. Blood 2025, 146: 4955-4955. DOI: 10.1182/blood-2025-4955.Peer-Reviewed Original ResearchConceptsSenescence-associated secretory phenotypeHematopoietic stem/progenitor cellsExpression of senescence markersBone marrowAge-associated increasesStromal expressionHematologic malignanciesImmune dysfunctionAge-associated immune dysfunctionExpression of exhaustion markersCD8+ T cellsCellular senescenceCell cycle arrest markersElevated expressionSenescence markersAge-related declineMultiple myeloma samplesStem cell functionInterferon response signatureAge-matched donorsHuman bone marrowAging microenvironmentExhaustion markersChemotherapy exposureStromal dysfunctionAdvancing biological understanding of cellular senescence with computational multiomics
Li S, Agudelo Garcia P, Aliferis C, Becich M, Calyeca J, Cosgrove B, Elisseeff J, Farzad N, Fertig E, Glass C, Gu L, Hu Q, Ji Z, Königshoff M, LeBrasseur N, Li D, Ma A, Ma Q, Menon V, Mitchell J, Mora A, Nagaraj S, Nelson A, Niedernhofer L, Rojas M, Taha H, Wang J, Wang S, Wu P, Xie J, Xu M, Yu M, Zhang X, Zhao Y, Adams P, Aguayo-Mazzucato C, Baker D, Benz C, Bernlohr D, Bueno M, Chen J, Childs B, Chuang J, Chung D, Dileepan M, Ding L, Dong M, Duncan F, Enninful A, Flynn W, Franco A, Furman D, Garovic V, Halene S, Herman A, Hertzel A, Iwasaki K, Jeon H, Kang J, Karmakar S, Kirkland J, Korstanje R, Kummerfeld E, Lee J, Liu Y, Lu Y, Lugo-Martinez J, Martini H, Melov S, Musi N, Passos J, Peters S, Rahman I, Ramasamy R, Rindone A, Robbins P, Robson P, Rodriguez-Lopez J, Rosas L, Rosenthal N, Schafer M, Schilling B, Schmidt E, Schneider K, Sengupta K, Shu J, So P, Sun L, Tchkonia T, Teneche M, Vanegas N, Wang J, Xie J, Yin S, Zhang K, Zhu Q, Fan R. Advancing biological understanding of cellular senescence with computational multiomics. Nature Genetics 2025, 57: 2381-2394. PMID: 40954249, PMCID: PMC12916282, DOI: 10.1038/s41588-025-02314-y.Peer-Reviewed Original ResearchCitationsAltmetricConceptsCellular senescenceMultiomics approachBiological understandingSenescent cellsComplex biological processesMultiomics researchBiological processesPhenotypic heterogeneityAge-related diseasesExperimental design considerationsSenescenceMultiomicsComputational analysisIndividual organsDesign considerationsCellsCell identificationTumor evolution and immune microenvironment dynamics in primary and relapsed mantle cell lymphoma
Wan H, Ren W, Yang M, Nie M, Wasik A, Du L, de Campos-Mata L, Sun R, Bai Z, Enninful A, Wang Y, Berglund M, Amini R, Li X, Yang C, Ye X, Yang Z, Ansell S, Liu D, van der Burg M, Fan R, Wu K, Sander B, Pan-Hammarström Q. Tumor evolution and immune microenvironment dynamics in primary and relapsed mantle cell lymphoma. Cell Reports Medicine 2025, 6: 102318. PMID: 40876452, PMCID: PMC12490240, DOI: 10.1016/j.xcrm.2025.102318.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMantle cell lymphomaDisease progressionCell lymphomaAggressive types of B cell lymphomaMantle cell lymphoma patientsRelapsed mantle cell lymphomaAggressive typeB-cell lymphomaRisk of relapseB cell receptor sequencesWhole-genome sequencingCopy-number variationsSingle-cell RNADisease relapseRelapse samplesTumor microenvironmentInterpatient heterogeneityTumor cellsIntratumoral heterogeneityLymphomaTumorTumor evolutionRelapseClonal diversityMicroenvironment dynamicsIntegrin-mediated mTOR signaling drives TGF-β overactivity and myxomatous mitral valve degeneration in hypomorphic fibrillin-1 mice
Gao F, Chen Q, Mori M, Li S, Ferrari G, Krane M, Fan R, Tellides G, Liu Y, Geirsson A. Integrin-mediated mTOR signaling drives TGF-β overactivity and myxomatous mitral valve degeneration in hypomorphic fibrillin-1 mice. Journal Of Clinical Investigation 2025, 135: e183558. PMID: 40392604, PMCID: PMC12259269, DOI: 10.1172/jci183558.Peer-Reviewed Original ResearchCitationsAltmetricConceptsMitral valve prolapseMyxomatous mitral valve degenerationValve prolapseMitral valve degenerationValve degenerationWeeks of ageTGF-bMgR miceMitral regurgitationAssociation of mitral valve prolapseProgression of mitral valve prolapseMTOR signalingMTOR inhibitionMitral valve diseaseMTOR activityTGF-b signalingLong-term inhibitionIncreased mTOR signalingMarfan syndromeMedical therapyLeukocyte infiltrationFBN1 variantsMacrophage recruitmentValve diseaseProlapse
Academic Achievements & Community Involvement
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News
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News
- April 06, 2026
Yale Cancer Center Experts to Share Latest Findings at 2026 AACR Conference
- April 01, 2026
Four YSM Researchers Named Biohub Investigators
- January 15, 2026
New Technology Offers Deeper Understanding of Cancer Progression
- April 02, 2025
Yale Cancer Center Annual Awards
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Biomedical Engineering
55 Prospect St, MEC 213
New Haven, CT 06520
United States