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MASS CYTOMETRY DATA RECLASSIFY SYSTEMIC AUTOIMMUNE DISEASE PATIENTS IN PHENOTYPICALLY DISTINCTIVE GROUPS

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dc.contributor.authorRybakowska, P.
dc.contributor.authorvan Gassen, S.
dc.contributor.authorPerez-Sanchez, C.
dc.contributor.authorIbanez-Costa, A.
dc.contributor.authorVarela, N.
dc.contributor.authorCastro, R. Ortega
dc.contributor.authorFernandez-Roldan, C.
dc.contributor.authorJimenez-Moleon, I.
dc.contributor.authorOrtego, N.
dc.contributor.authorRaya, E.
dc.contributor.authorQuesada, R. Aguilar
dc.contributor.authorLopez-Pedrera, C.
dc.contributor.authorEstevez, E. Collantes
dc.contributor.authorSaeys, Y.
dc.contributor.authorAlarcon-Riquelme, M.
dc.contributor.authorMaranon, C.
dc.contributor.authoraffiliation[Rybakowska, P.] Univ Granada, Andalusian Reg Govt, GENYO, PTS,Genom Med,Ctr Genom & Oncol Res Pfizer, Granada, Spain
dc.contributor.authoraffiliation[Alarcon-Riquelme, M.] Univ Granada, Andalusian Reg Govt, GENYO, PTS,Genom Med,Ctr Genom & Oncol Res Pfizer, Granada, Spain
dc.contributor.authoraffiliation[Maranon, C.] Univ Granada, Andalusian Reg Govt, GENYO, PTS,Genom Med,Ctr Genom & Oncol Res Pfizer, Granada, Spain
dc.contributor.authoraffiliation[van Gassen, S.] Univ Ghent, Dept Appl Math Comp Sci & Stat, VIB Ctr Inflammat Res Data Min & Modeling Biomed, Ghent, Belgium
dc.contributor.authoraffiliation[Saeys, Y.] Univ Ghent, Dept Appl Math Comp Sci & Stat, VIB Ctr Inflammat Res Data Min & Modeling Biomed, Ghent, Belgium
dc.contributor.authoraffiliation[Perez-Sanchez, C.] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Inst Res Biomed Cordoba IMIBIC, Cordoba, Spain
dc.contributor.authoraffiliation[Ibanez-Costa, A.] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Inst Res Biomed Cordoba IMIBIC, Cordoba, Spain
dc.contributor.authoraffiliation[Castro, R. Ortega] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Inst Res Biomed Cordoba IMIBIC, Cordoba, Spain
dc.contributor.authoraffiliation[Lopez-Pedrera, C.] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Inst Res Biomed Cordoba IMIBIC, Cordoba, Spain
dc.contributor.authoraffiliation[Estevez, E. Collantes] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Inst Res Biomed Cordoba IMIBIC, Cordoba, Spain
dc.contributor.authoraffiliation[Fernandez-Roldan, C.] Univ Granada, Hosp Univ San Cecilio, Dept Med, Serv Med Interna,Unidad Enfermedades Autoinmunes, Granada, Spain
dc.contributor.authoraffiliation[Ortego, N.] Univ Granada, Hosp Univ San Cecilio, Dept Med, Serv Med Interna,Unidad Enfermedades Autoinmunes, Granada, Spain
dc.contributor.authoraffiliation[Jimenez-Moleon, I.] Hosp Univ San Cecilio, Serv Reumatol, PTS, Granada, Spain
dc.contributor.authoraffiliation[Raya, E.] Hosp Univ San Cecilio, Serv Reumatol, PTS, Granada, Spain
dc.contributor.authoraffiliation[Quesada, R. Aguilar] Andalusian Publ Hlth Syst Biobank, Biobanco Sistema Sanitario Publ Andalucia, Granada, Spain
dc.contributor.funderInnovative Medicines Initiative 2 Joint Undertaking (JU)
dc.contributor.funderEuropean Union
dc.contributor.funderEFPIA
dc.date.accessioned2023-05-03T13:30:13Z
dc.date.available2023-05-03T13:30:13Z
dc.date.issued2022-06-01
dc.description.abstractSystemic lupus erythematosus (SLE), rheumatoid arthritis (RA), systemic sclerosis (SSC), Sjögren’s syndrome (SJS), mixed connective tissue disease (MCTD), primary antiphospholipid syndrome (PAPS) and undifferentiated connective tissue disease (UCTD) are classified as systemic autoimmune diseases (SADs). They are diagnosed based on different clinical and laboratory criteria. Due to their high internal heterogeneity and overlapping symptoms, SADs are difficult to diagnose. Therefore, molecular and cellular-based studies need to be undertaken to precisely classify the patients. Mass cytometry is a single-cell proteomics technology that measures approximately 50 markers per cell, thus it is a suitable tool to perform deep-phenotyping studies in SADs.
dc.identifier.doi10.1136/annrheumdis-2022-eular.1123
dc.identifier.essn1468-2060
dc.identifier.issn0003-4967
dc.identifier.unpaywallURLhttps://ard.bmj.com/content/annrheumdis/81/Suppl_1/152.1.full.pdf
dc.identifier.urihttp://hdl.handle.net/10668/20061
dc.identifier.wosID850279000232
dc.issue.number1
dc.journal.titleAnnals of the rheumatic diseases
dc.journal.titleabbreviationAnn. rheum. dis.
dc.language.isoen
dc.organizationHospital Universitario Reina Sofía
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba-IMIBIC
dc.organizationHospital Universitario San Cecilio
dc.organizationCentro Pfizer-Universidad de Granada-Junta de Andalucía de Genómica e Investigación Oncológica-GENYO
dc.organizationBiobanco del Sistema Sanitario Público de Andalucía
dc.page.number152-153
dc.publisherBMJ Group
dc.relation.publisherversionhttps://ard.bmj.com/content/81/Suppl_1/152.1.abstract
dc.rights.accessRightsopen access
dc.subjectAntiphospholipid syndrome
dc.subjectMixed connective tissue disease
dc.subjectUndifferentiated connective tissue diseases
dc.subjectProteomics
dc.subject.decsArtritis reumatoide
dc.subject.decsEsclerodermia sistémica
dc.subject.decsHumanos
dc.subject.decsLupus eritematoso sistémico
dc.subject.meshLupus erythematosus, systemic
dc.subject.meshArthritis, rheumatoid
dc.subject.meshScleroderma, systemic
dc.subject.meshHumans
dc.titleMASS CYTOMETRY DATA RECLASSIFY SYSTEMIC AUTOIMMUNE DISEASE PATIENTS IN PHENOTYPICALLY DISTINCTIVE GROUPS
dc.typeconference output
dc.type.hasVersionVoR
dc.volume.number81
dc.wostypeMeeting Abstract
dspace.entity.typePublication

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