Andrew James Martins, PhD
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Immunobiology
Primary
Contact Info
Immunobiology
100 College St Building Rm 1155, 200 South Frontage Rd
New Haven, CT 06510
United States
About
Titles
Assistant Professor
Appointments
Immunobiology
Assistant ProfessorPrimary
Other Departments & Organizations
Education & Training
- Postdoctoral Fellow
- National Institute of Allergy and Infectious Diseases (2016)
- PhD
- The University of Western Ontario, Microbiology and Immunology (2011)
- BSc (Hon)
- The University of Windsor, Biological Sciences (2005)
Research
Overview
Medical Subject Headings (MeSH)
Gene Regulatory Networks; Immunity, Innate; Single-Cell Analysis; Systems Biology
ORCID
0000-0002-1832-1924
Research at a Glance
Yale Co-Authors
Frequent collaborators of Andrew James Martins's published research.
Publications Timeline
A big-picture view of Andrew James Martins's research output by year.
Research Interests
Research topics Andrew James Martins is interested in exploring.
John S. Tsang, PhD, MMath
Steven Kleinstein, PhD
J. Nicholas Fisk
32Publications
2,116Citations
Immunity, Innate
Single-Cell Analysis
Gene Regulatory Networks
Systems Biology
Publications
2024
A unified metric of human immune health
Sparks R, Rachmaninoff N, Lau W, Hirsch D, Bansal N, Martins A, Chen J, Liu C, Cheung F, Failla L, Biancotto A, Fantoni G, Sellers B, Chawla D, Howe K, Mostaghimi D, Farmer R, Kotliarov Y, Calvo K, Palmer C, Daub J, Foruraghi L, Kreuzburg S, Treat J, Urban A, Jones A, Romeo T, Deuitch N, Moura N, Weinstein B, Moir S, Ferrucci L, Barron K, Aksentijevich I, Kleinstein S, Townsley D, Young N, Frischmeyer-Guerrerio P, Uzel G, Pinto-Patarroyo G, Cudrici C, Hoffmann P, Stone D, Ombrello A, Freeman A, Zerbe C, Kastner D, Holland S, Tsang J. A unified metric of human immune health. Nature Medicine 2024, 1-12. PMID: 38961223, DOI: 10.1038/s41591-024-03092-6.Peer-Reviewed Original ResearchAltmetricConceptsClinically healthy individualsHealthy individualsImmune cell frequenciesImmune healthInflammatory biomarkers C-reactive proteinC-reactive proteinBiomarkers C-reactive proteinResponse to immunizationAntibody response to immunizationInflammatory disease statesImmune pathologyDisease activityTreatment responseAntigenic stimulationImmune consequencesClinical dataImmunological pathwaysHealthy controlsCell frequencyInterleukin-6Nonimmunologic diseasesImmune diseasesMonogenic diseasesMonogenic conditionsMedication useIntegrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint
Mulè M, Martins A, Cheung F, Farmer R, Sellers B, Quiel J, Jain A, Kotliarov Y, Bansal N, Chen J, Schwartzberg P, Tsang J. Integrating population and single-cell variations in vaccine responses identifies a naturally adjuvanted human immune setpoint. Immunity 2024, 57: 1160-1176.e7. PMID: 38697118, DOI: 10.1016/j.immuni.2024.04.009.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsTranscriptional statesVaccine responseSingle-cell profiling methodsSingle-cell variationAS03-adjuvanted vaccineUnadjuvanted influenza vaccineResponse to lipopolysaccharide stimulationB cell signaturesCD14<sup>+</sup> monocytesSingle-cell levelBiological insightsUnadjuvanted vaccineAS03-adjuvantedInfluenza vaccineResponse phenotypesCITE-seqInnate subsetsAdjuvant developmentHigh antibody respondersDay 1Antibody respondersLipopolysaccharide stimulationVaccineCorrelation networkHuman population
2023
Human transcriptional signature of protection after Plasmodium falciparum immunization and infectious challenge via mosquito bites
Mura M, Misganaw B, Gautam A, Robinson T, Chaudhury S, Bansal N, Martins A, Tsang J, Hammamieh R, Bergmann-Leitner E. Human transcriptional signature of protection after Plasmodium falciparum immunization and infectious challenge via mosquito bites. Human Vaccines & Immunotherapeutics 2023, 19: 2282693. PMID: 38010150, PMCID: PMC10760396, DOI: 10.1080/21645515.2023.2282693.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPeripheral blood mononuclear cellsNon-protected individualsHuman malaria infectionImmune correlatesMalaria infectionVaccine-induced responsesCorrelates of protectionTranscriptomic analysisBlood mononuclear cellsAntigen-specific stimulationTranscriptomic profilesAntigen-specific cellsWhole blood transcriptomic analysesImmune signaturesMalaria vaccineMononuclear cellsInfectious challengeVaccine platformEffective vaccineMosquito bitesLongitudinal time pointsSubunit vaccineInfectious pathogensTranscriptional eventsVaccineTracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine
de Assis F, Hoehn K, Zhang X, Kardava L, Smith C, Merhebi O, Buckner C, Trihemasava K, Wang W, Seamon C, Chen V, Schaughency P, Cheung F, Martins A, Chiang C, Li Y, Tsang J, Chun T, Kleinstein S, Moir S. Tracking B cell responses to the SARS-CoV-2 mRNA-1273 vaccine. Cell Reports 2023, 42: 112780. PMID: 37440409, PMCID: PMC10529190, DOI: 10.1016/j.celrep.2023.112780.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMemory B cellsB cell receptorB cellsAtypical memory B cellsInfection-naïve individualsTwo-dose SARSSARS-CoV-2 mRNAB cell responsesAntibody-secreting cellsMonth 6Protective immunityCell responsesCell receptorClonal expansionImmunoglobulin GEarly timepointsLater timepointsPlasmablastsVaccinationCD71TimepointsSurface proteinsCellsMultimodal single-cell analysisMRNAInfluenza vaccination reveals sex dimorphic imprints of prior mild COVID-19
Sparks R, Lau W, Liu C, Han K, Vrindten K, Sun G, Cox M, Andrews S, Bansal N, Failla L, Manischewitz J, Grubbs G, King L, Koroleva G, Leimenstoll S, Snow L, Chen J, Tang J, Mukherjee A, Sellers B, Apps R, McDermott A, Martins A, Bloch E, Golding H, Khurana S, Tsang J. Influenza vaccination reveals sex dimorphic imprints of prior mild COVID-19. Nature 2023, 614: 752-761. PMID: 36599369, PMCID: PMC10481789, DOI: 10.1038/s41586-022-05670-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMild COVID-19Control individualsInnate immune genesInfluenza vaccinationCOVID-19Day 28Day 1Viral infectionNon-hospitalized COVID-19Baseline immune statusAcute viral infectionSex-matched control individualsMemory-like CD8IL-15 responsesIL-15 stimulationSex-dimorphic effectsToll-like receptorsFuture immune responseHealthy control individualsImmune genesSystems immunology approachT-cell activation signaturesHealthy male individualsMale individualsMore IFNγ
2022
Adaptive immune responses to SARS-CoV-2 persist in the pharyngeal lymphoid tissue of children
Xu Q, Milanez-Almeida P, Martins A, Radtke A, Hoehn K, Oguz C, Chen J, Liu C, Tang J, Grubbs G, Stein S, Ramelli S, Kabat J, Behzadpour H, Karkanitsa M, Spathies J, Kalish H, Kardava L, Kirby M, Cheung F, Preite S, Duncker P, Kitakule M, Romero N, Preciado D, Gitman L, Koroleva G, Smith G, Shaffer A, McBain I, McGuire P, Pittaluga S, Germain R, Apps R, Schwartz D, Sadtler K, Moir S, Chertow D, Kleinstein S, Khurana S, Tsang J, Mudd P, Schwartzberg P, Manthiram K. Adaptive immune responses to SARS-CoV-2 persist in the pharyngeal lymphoid tissue of children. Nature Immunology 2022, 24: 186-199. PMID: 36536106, PMCID: PMC10777159, DOI: 10.1038/s41590-022-01367-z.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsT cell receptorImmune responseGerminal centersPrevious SARS-CoV-2 infectionSARS-CoV-2 infectionB-cell receptor sequencingTissue-specific immunityCell receptor sequencingAdaptive immune responsesUpper respiratory tractMemory B cellsT cell clonotypesSite of infectionSARS-CoV-2Pharyngeal lymphoid tissuePeripheral bloodLymphocyte populationsLymphoid tissueRespiratory tractCell clonotypesAdaptive immunityB cellsCDR3 sequencesAdenoidsCell receptorNormalizing and denoising protein expression data from droplet-based single cell profiling
Mulè M, Martins A, Tsang J. Normalizing and denoising protein expression data from droplet-based single cell profiling. Nature Communications 2022, 13: 2099. PMID: 35440536, PMCID: PMC9018908, DOI: 10.1038/s41467-022-29356-8.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsProtein expression dataSingle-cell profiling methodsExpression dataSingle-cell profilingOligo-conjugated antibodiesTechnical noiseProtein populationCITE-seqCellular heterogeneityComprehensive dissectionDownstream analysisCell profilingDSBsSingle cellsProtein levelsProtein expressionCell populationsOpen-source R packageProfiling methodProtein countsEmpty dropletsR packageComputational analysisCellsBiological variation
2021
Pre-existing chromatin accessibility and gene expression differences among naive CD4+ T cells influence effector potential
Rogers D, Sood A, Wang H, van Beek J, Rademaker T, Artusa P, Schneider C, Shen C, Wong D, Bhagrath A, Lebel M, Condotta S, Richer M, Martins A, Tsang J, Barreiro L, François P, Langlais D, Melichar H, Textor J, Mandl J. Pre-existing chromatin accessibility and gene expression differences among naive CD4+ T cells influence effector potential. Cell Reports 2021, 37: 110064. PMID: 34852223, DOI: 10.1016/j.celrep.2021.110064.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSingle-cell RNA sequencingGene expression differencesCell receptor signalingChromatin accessibilityLineage choiceTCR signal strengthCell chromatinTranscriptional differencesRNA sequencingExpression differencesReceptor signalingLandscape differencesEffector potentialEffector lineagesThymic developmentCellsNaive CD4Self-peptide MHCChromatinCognate antigenLineagesGenesSignalingTCR interactionsKey driversTime-resolved systems immunology reveals a late juncture linked to fatal COVID-19
Liu C, Martins AJ, Lau WW, Rachmaninoff N, Chen J, Imberti L, Mostaghimi D, Fink DL, Burbelo PD, Dobbs K, Delmonte OM, Bansal N, Failla L, Sottini A, Quiros-Roldan E, Lee Han K, Sellers BA, Cheung F, Sparks R, Chun TW, Moir S, Lionakis MS, , Rossi C, Su H, Kuhns D, Cohen J, Notarangelo L, Tsang J, , Abers M, Apps R, Bosticardo M, Milanez-Almeida P, Mulè M, Shaw E, Zhang Y, , Castelli F, Muiesan M, Tomasoni G, Scolari F, Tucci A. Time-resolved systems immunology reveals a late juncture linked to fatal COVID-19. Cell 2021, 184: 1836-1857.e22. PMID: 33713619, PMCID: PMC7874909, DOI: 10.1016/j.cell.2021.02.018.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsFatal COVID-19Peripheral immune cellsPlasmacytoid dendritic cellsPost-symptom onsetCOVID-19 patientsCOVID-19Fatty acid metabolismGene expression signaturesNK cellsSymptom onsetDendritic cellsSevere patientsFatal outcomeImmune response variationCellular inflammationImmune cellsInflammatory responseCell receptor sequencesExtensive patientClinical monitoringTherapeutic interventionsCell activationDay 17Disease severitySigns of exhaustion
2020
Intravenous nanoparticle vaccination generates stem-like TCF1+ neoantigen-specific CD8+ T cells
Baharom F, Ramirez-Valdez RA, Tobin KKS, Yamane H, Dutertre CA, Khalilnezhad A, Reynoso GV, Coble VL, Lynn GM, Mulè MP, Martins AJ, Finnigan JP, Zhang XM, Hamerman JA, Bhardwaj N, Tsang JS, Hickman HD, Ginhoux F, Ishizuka AS, Seder RA. Intravenous nanoparticle vaccination generates stem-like TCF1+ neoantigen-specific CD8+ T cells. Nature Immunology 2020, 22: 41-52. PMID: 33139915, PMCID: PMC7746638, DOI: 10.1038/s41590-020-00810-3.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsNeoantigen-specific CD8T cellsToll-like receptor 7/8 agonistQuality of CD8Stem-like TCF1T cell immunityStem-like CD8Superior antitumor responsesPersonalized cancer vaccinesStem-like genesStem-like cellsIntravenous vaccinationNanoparticle vaccinationAntitumor immunityCheckpoint blockadeCell immunityDendritic cellsAntitumor responseEffector cellsSubcutaneous immunizationCancer vaccinesVaccine parametersNeoantigen peptidesAntigen presentationNanoparticle vaccine
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Mailing Address
Immunobiology
100 College St Building Rm 1155, 200 South Frontage Rd
New Haven, CT 06510
United States