CD Maps-Dynamic Profiling of CD1-CD100 Surface Expression on Human Leukocyte and Lymphocyte Subsets

dc.contributor.authorKalina, Tomas
dc.contributor.authorFi er, Karel
dc.contributor.authorPérez Andrés, Martín
dc.contributor.authorKuzílková, Daniela
dc.contributor.authorCuenca, Marta
dc.contributor.authorBartol, Sophinus J. W.
dc.contributor.authorBlanco, Elena
dc.contributor.authorEngel Rocamora, Pablo
dc.contributor.authorvan Zelm, Menno C.
dc.contributor.authorHuman Cell Differentiation Molecules (HCDM) organization
dc.date.accessioned2021-03-25T11:28:00Z
dc.date.available2021-03-25T11:28:00Z
dc.date.issued2019-10-23
dc.date.updated2021-03-25T11:28:00Z
dc.description.abstractCD molecules are surface molecules expressed on cells of the immune system that play key roles in immune cell-cell communication and sensing the microenvironment. These molecules are essential markers for the identification and isolation of leukocytes and lymphocyte subsets. Here, we present the results of the first phase of the CD Maps study, mapping the expression of CD1-CD100 (n = 110) on 47 immune cell subsets from blood, thymus, and tonsil using an eight-color standardized EuroFlow approach and quantification of expression. The resulting dataset included median antibody binding capacities (ABCs) and percentage of positivity for all markers on all subsets and was developed into an interactive CD Maps web resource. Using the resource, we examined differentially expressed proteins between granulocyte, monocyte, and dendritic cell subsets, and profiled dynamic expression of markers during thymocyte differentiation, T-cell maturation, and between functionally distinct B-cell subset clusters. The CD Maps resource will serve as a benchmark of antibody reactivities ensuring improved reproducibility of flow cytometry-based research. Moreover, it will provide a full picture of the surfaceome of human immune cells and serves as a useful platform to increase our understanding of leukocyte biology, as well as to facilitate the identification of new biomarkers and therapeutic targets of immunological and hematological diseases.
dc.format.extent15 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec697023
dc.identifier.issn1664-3224
dc.identifier.pmid31708916
dc.identifier.urihttps://hdl.handle.net/2445/175745
dc.language.isoeng
dc.publisherFrontiers Media
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3389/fimmu.2019.02434
dc.relation.ispartofFrontiers in Immunology, 2019, vol. 10
dc.relation.urihttps://doi.org/10.3389/fimmu.2019.02434
dc.rightscc-by (c) Kalina, Tomas et al., 2019
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es
dc.sourceArticles publicats en revistes (Biomedicina)
dc.subject.classificationMolècules
dc.subject.classificationLeucòcits
dc.subject.classificationCèl·lules B
dc.subject.classificationCèl·lules T
dc.subject.otherMolecules
dc.subject.otherLeucocytes
dc.subject.otherB cells
dc.subject.otherT cells
dc.titleCD Maps-Dynamic Profiling of CD1-CD100 Surface Expression on Human Leukocyte and Lymphocyte Subsets
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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