Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset]
[Introduction]: Monitoring of innate myeloid cells (IMC) is broadly applied in basic and translational research, as well as in diagnostic patient care. Due to their immunophenotypic heterogeneity and biological plasticity, analysis of IMC populations typically requires large panels of markers. Curre...
| Autores: | , , , , , , , , , , , , |
|---|---|
| Tipo de documento: | conjunto de datos |
| Estado: | Versão publicada |
| Data de publicação: | 2023 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositório: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/360921 |
| Acesso em linha: | http://hdl.handle.net/10261/360921 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Spectral flow cytometry Myeloid cells Immunophenotyping cyTOF Mass cytometry |
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oai:digital.csic.es:10261/360921 |
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Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset]Pan, Kyra van derKhatri, InduJager, Anniek L. deLouis, AleshaKassem, SaraNaber, Brigitta A. E.Laat, Inge F. deHameetman, MarjolijnComans, SuzanneOrfao, AlbertoDongen, J. J. M. vanDíez, PaulaTeodosio, CristinaSpectral flow cytometryMyeloid cellsImmunophenotypingcyTOFMass cytometry[Introduction]: Monitoring of innate myeloid cells (IMC) is broadly applied in basic and translational research, as well as in diagnostic patient care. Due to their immunophenotypic heterogeneity and biological plasticity, analysis of IMC populations typically requires large panels of markers. Currently, two cytometry-based techniques allow for the simultaneous detection of ≥40 markers: spectral flow cytometry (SFC) and mass cytometry (MC). However, little is known about the comparability of SFC and MC in studying IMC populations.[Methods]: We evaluated the performance of two SFC and MC panels, which contained 21 common markers, for the identification and subsetting of blood IMC populations. Based on unsupervised clustering analysis, we systematically identified 24 leukocyte populations, including 21 IMC subsets, regardless of the cytometry technique.[Results]: Overall, comparable results were observed between the two technologies regarding the relative distribution of these cell populations and the staining resolution of individual markers (Pearson’s ρ=0.99 and 0.55, respectively). However, minor differences were observed between the two techniques regarding intra-measurement variability (median coefficient of variation of 42.5% vs. 68.0% in SFC and MC, respectively; p<0.0001) and reproducibility, which were most likely due to the significantly longer acquisition times (median 16 min vs. 159 min) and lower recovery rates (median 53.1% vs. 26.8%) associated with SFC vs. MC.[Discussion]: Altogether, our results show a good correlation between SFC and MC for the identification, enumeration and characterization of IMC in blood, based on large panels (>20) of antibody reagents.Peer reviewedFrontiers MediaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1Publisher's versioninfo:eu-repo/semantics/publishedVersionimage/tiffhttp://hdl.handle.net/10261/360921reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésPan, Kyra van der; Khatri, Indu; Jager, Anniek L. de; Louis, Alesha; Kassem, Sara; Naber, Brigitta A. E.; Laat, Inge F. de; Hameetman, Marjolijn; Comans, Suzanne; Orfao, Alberto; Dongen, J. J. M. van; Díez, Paula; Teodosio, Cristina. Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations. https://doi.org/10.3389/fimmu.2023.1191992 . http://hdl.handle.net/10261/348256https://doi.org/10.3389/fimmu.2023.1191992.s002Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3609212026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| title |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| spellingShingle |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] Pan, Kyra van der Spectral flow cytometry Myeloid cells Immunophenotyping cyTOF Mass cytometry |
| title_short |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| title_full |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| title_fullStr |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| title_full_unstemmed |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| title_sort |
Image_1_Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.tif [Dataset] |
| dc.creator.none.fl_str_mv |
Pan, Kyra van der Khatri, Indu Jager, Anniek L. de Louis, Alesha Kassem, Sara Naber, Brigitta A. E. Laat, Inge F. de Hameetman, Marjolijn Comans, Suzanne Orfao, Alberto Dongen, J. J. M. van Díez, Paula Teodosio, Cristina |
| author |
Pan, Kyra van der |
| author_facet |
Pan, Kyra van der Khatri, Indu Jager, Anniek L. de Louis, Alesha Kassem, Sara Naber, Brigitta A. E. Laat, Inge F. de Hameetman, Marjolijn Comans, Suzanne Orfao, Alberto Dongen, J. J. M. van Díez, Paula Teodosio, Cristina |
| author_role |
author |
| author2 |
Khatri, Indu Jager, Anniek L. de Louis, Alesha Kassem, Sara Naber, Brigitta A. E. Laat, Inge F. de Hameetman, Marjolijn Comans, Suzanne Orfao, Alberto Dongen, J. J. M. van Díez, Paula Teodosio, Cristina |
| author2_role |
author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Spectral flow cytometry Myeloid cells Immunophenotyping cyTOF Mass cytometry |
| topic |
Spectral flow cytometry Myeloid cells Immunophenotyping cyTOF Mass cytometry |
| description |
[Introduction]: Monitoring of innate myeloid cells (IMC) is broadly applied in basic and translational research, as well as in diagnostic patient care. Due to their immunophenotypic heterogeneity and biological plasticity, analysis of IMC populations typically requires large panels of markers. Currently, two cytometry-based techniques allow for the simultaneous detection of ≥40 markers: spectral flow cytometry (SFC) and mass cytometry (MC). However, little is known about the comparability of SFC and MC in studying IMC populations. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023 2024 2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/dataset http://purl.org/coar/resource_type/c_ddb1 Publisher's version info:eu-repo/semantics/publishedVersion |
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dataset |
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publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/360921 |
| url |
http://hdl.handle.net/10261/360921 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Pan, Kyra van der; Khatri, Indu; Jager, Anniek L. de; Louis, Alesha; Kassem, Sara; Naber, Brigitta A. E.; Laat, Inge F. de; Hameetman, Marjolijn; Comans, Suzanne; Orfao, Alberto; Dongen, J. J. M. van; Díez, Paula; Teodosio, Cristina. Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations. https://doi.org/10.3389/fimmu.2023.1191992 . http://hdl.handle.net/10261/348256 https://doi.org/10.3389/fimmu.2023.1191992.s002 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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image/tiff |
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Frontiers Media |
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Frontiers Media |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869418588678389760 |
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15,81155 |