DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip
Innate myeloid cell (IMC) populations form an essential part of innate immunity. Flow cytometric (FCM) monitoring of IMCs in peripheral blood (PB) has great clinical potential for disease monitoring due to their role in maintenance of tissue homeostasis and ability to sense micro-environmental chang...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | conjunto de datos |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/311503 |
| Acceso en línea: | http://hdl.handle.net/10261/311503 |
| Access Level: | acceso abierto |
| Palabra clave: | Immune-monitoring Flow cytometry Innate myeloid cells Age-related reference values Standardization |
| id |
ES_2b3f6f5ddcf336544df6f823e7dc91bb |
|---|---|
| oai_identifier_str |
oai:digital.csic.es:10261/311503 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| dc.title.none.fl_str_mv |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| title |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| spellingShingle |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip Pan, Kyra van der Immune-monitoring Flow cytometry Innate myeloid cells Age-related reference values Standardization |
| title_short |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| title_full |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| title_fullStr |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| title_full_unstemmed |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| title_sort |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip |
| dc.creator.none.fl_str_mv |
Pan, Kyra van der Bruin Versteeg, Sandra de Damasceno, Daniela Hernández-Delgado, Alejandro Sluijs-Gelling, Alita J. van der Bossche, Wouter B. L.van den Laat, Inge F. de Díez, Paula Naber, Brigitta A. E. Diks, Annieck M. Berkowska, Magdalena A. Mooij, Bas de Groenland, R. J. Bie, Fenna J. de Khatri, Indu Kassem, Sara Jager, Anniek L. de Louis, Alesha Almeida, Julia Gaans-van den Brink, Jacqueline A. M. van Barkoff, Alex-Mikael He, Qiushui Ferwerda, Gerben Versteegen, Pauline Berbers, Guy A. M. Orfao, Alberto Dongen, J. J. M. van Teodosio, Cristina |
| author |
Pan, Kyra van der |
| author_facet |
Pan, Kyra van der Bruin Versteeg, Sandra de Damasceno, Daniela Hernández-Delgado, Alejandro Sluijs-Gelling, Alita J. van der Bossche, Wouter B. L.van den Laat, Inge F. de Díez, Paula Naber, Brigitta A. E. Diks, Annieck M. Berkowska, Magdalena A. Mooij, Bas de Groenland, R. J. Bie, Fenna J. de Khatri, Indu Kassem, Sara Jager, Anniek L. de Louis, Alesha Almeida, Julia Gaans-van den Brink, Jacqueline A. M. van Barkoff, Alex-Mikael He, Qiushui Ferwerda, Gerben Versteegen, Pauline Berbers, Guy A. M. Orfao, Alberto Dongen, J. J. M. van Teodosio, Cristina |
| author_role |
author |
| author2 |
Bruin Versteeg, Sandra de Damasceno, Daniela Hernández-Delgado, Alejandro Sluijs-Gelling, Alita J. van der Bossche, Wouter B. L.van den Laat, Inge F. de Díez, Paula Naber, Brigitta A. E. Diks, Annieck M. Berkowska, Magdalena A. Mooij, Bas de Groenland, R. J. Bie, Fenna J. de Khatri, Indu Kassem, Sara Jager, Anniek L. de Louis, Alesha Almeida, Julia Gaans-van den Brink, Jacqueline A. M. van Barkoff, Alex-Mikael He, Qiushui Ferwerda, Gerben Versteegen, Pauline Berbers, Guy A. M. Orfao, Alberto Dongen, J. J. M. van Teodosio, Cristina |
| author2_role |
author author author author author author author author author author author author author author author 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 |
Immune-monitoring Flow cytometry Innate myeloid cells Age-related reference values Standardization |
| topic |
Immune-monitoring Flow cytometry Innate myeloid cells Age-related reference values Standardization |
| description |
Innate myeloid cell (IMC) populations form an essential part of innate immunity. Flow cytometric (FCM) monitoring of IMCs in peripheral blood (PB) has great clinical potential for disease monitoring due to their role in maintenance of tissue homeostasis and ability to sense micro-environmental changes, such as inflammatory processes and tissue damage. However, the lack of standardized and validated approaches has hampered broad clinical implementation. For accurate identification and separation of IMC populations, 62 antibodies against 44 different proteins were evaluated. In multiple rounds of EuroFlow-based design-testing-evaluation-redesign, finally 16 antibodies were selected for their non-redundancy and separation power. Accordingly, two antibody combinations were designed for fast, sensitive, and reproducible FCM monitoring of IMC populations in PB in clinical settings (11-color; 13 antibodies) and translational research (14-color; 16 antibodies). Performance of pre-analytical and analytical variables among different instruments, together with optimized post-analytical data analysis and reference values were assessed. Overall, 265 blood samples were used for design and validation of the antibody combinations and in vitro functional assays, as well as for assessing the impact of sample preparation procedures and conditions. The two (11- and 14-color) antibody combinations allowed for robust and sensitive detection of 19 and 23 IMC populations, respectively. Highly reproducible identification and enumeration of IMC populations was achieved, independently of anticoagulant, type of FCM instrument and center, particularly when database/software-guided automated (vs. manual “expert-based”) gating was used. Whereas no significant changes were observed in identification of IMC populations for up to 24h delayed sample processing, a significant impact was observed in their absolute counts after >12h delay. Therefore, accurate identification and quantitation of IMC populations requires sample processing on the same day. Significantly different counts were observed in PB for multiple IMC populations according to age and sex. Consequently, PB samples from 116 healthy donors (8-69 years) were used for collecting age and sex related reference values for all IMC populations. In summary, the two antibody combinations and FCM approach allow for rapid, standardized, automated and reproducible identification of 19 and 23 IMC populations in PB, suited for monitoring of innate immune responses in clinical and translational research settings. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2023 2023 |
| 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 |
| format |
dataset |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/311503 |
| url |
http://hdl.handle.net/10261/311503 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Pan, Kyra van der; Bruin Versteeg, Sandra de; Damasceno, Daniela; Hernández-Delgado, Alejandro; Sluijs-Gelling, Alita J. van der; Bossche, Wouter B. L.van den; Laat, Inge F. de; Díez, Paula; Naber, Brigitta A. E.; Diks, Annieck M.; Berkowska, Magdalena A.; Mooij, Bas de; Groenland, R. J.; Bie, Fenna J. de; Khatri, Indu; Kassem, Sara; Jager, Anniek L. de; Louis, Alesha; Almeida, Julia; Gaans-van den Brink, Jacqueline A. M. van; Barkoff, Alex-Mikael; He, Qiushui; Ferwerda, Gerben; Versteegen, Pauline; Berbers, Guy A. M.; Orfao, Alberto; Dongen, J. J. M. van; Teodosio, Cristina. DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip. https://doi.org/10.3389/fimmu.2022.935879.s001. http://hdl.handle.net/10261/296590 https://doi.org/10.3389/fimmu.2022.935879.s001 Sí |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.publisher.none.fl_str_mv |
Figshare |
| publisher.none.fl_str_mv |
Figshare |
| dc.source.none.fl_str_mv |
reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869405132313067520 |
| spelling |
DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zipPan, Kyra van derBruin Versteeg, Sandra deDamasceno, DanielaHernández-Delgado, AlejandroSluijs-Gelling, Alita J. van derBossche, Wouter B. L.van denLaat, Inge F. deDíez, PaulaNaber, Brigitta A. E.Diks, Annieck M.Berkowska, Magdalena A.Mooij, Bas deGroenland, R. J.Bie, Fenna J. deKhatri, InduKassem, SaraJager, Anniek L. deLouis, AleshaAlmeida, JuliaGaans-van den Brink, Jacqueline A. M. vanBarkoff, Alex-MikaelHe, QiushuiFerwerda, GerbenVersteegen, PaulineBerbers, Guy A. M.Orfao, AlbertoDongen, J. J. M. vanTeodosio, CristinaImmune-monitoringFlow cytometryInnate myeloid cellsAge-related reference valuesStandardizationInnate myeloid cell (IMC) populations form an essential part of innate immunity. Flow cytometric (FCM) monitoring of IMCs in peripheral blood (PB) has great clinical potential for disease monitoring due to their role in maintenance of tissue homeostasis and ability to sense micro-environmental changes, such as inflammatory processes and tissue damage. However, the lack of standardized and validated approaches has hampered broad clinical implementation. For accurate identification and separation of IMC populations, 62 antibodies against 44 different proteins were evaluated. In multiple rounds of EuroFlow-based design-testing-evaluation-redesign, finally 16 antibodies were selected for their non-redundancy and separation power. Accordingly, two antibody combinations were designed for fast, sensitive, and reproducible FCM monitoring of IMC populations in PB in clinical settings (11-color; 13 antibodies) and translational research (14-color; 16 antibodies). Performance of pre-analytical and analytical variables among different instruments, together with optimized post-analytical data analysis and reference values were assessed. Overall, 265 blood samples were used for design and validation of the antibody combinations and in vitro functional assays, as well as for assessing the impact of sample preparation procedures and conditions. The two (11- and 14-color) antibody combinations allowed for robust and sensitive detection of 19 and 23 IMC populations, respectively. Highly reproducible identification and enumeration of IMC populations was achieved, independently of anticoagulant, type of FCM instrument and center, particularly when database/software-guided automated (vs. manual “expert-based”) gating was used. Whereas no significant changes were observed in identification of IMC populations for up to 24h delayed sample processing, a significant impact was observed in their absolute counts after >12h delay. Therefore, accurate identification and quantitation of IMC populations requires sample processing on the same day. Significantly different counts were observed in PB for multiple IMC populations according to age and sex. Consequently, PB samples from 116 healthy donors (8-69 years) were used for collecting age and sex related reference values for all IMC populations. In summary, the two antibody combinations and FCM approach allow for rapid, standardized, automated and reproducible identification of 19 and 23 IMC populations in PB, suited for monitoring of innate immune responses in clinical and translational research settings.Peer reviewedFigshareConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232022info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/311503reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésPan, Kyra van der; Bruin Versteeg, Sandra de; Damasceno, Daniela; Hernández-Delgado, Alejandro; Sluijs-Gelling, Alita J. van der; Bossche, Wouter B. L.van den; Laat, Inge F. de; Díez, Paula; Naber, Brigitta A. E.; Diks, Annieck M.; Berkowska, Magdalena A.; Mooij, Bas de; Groenland, R. J.; Bie, Fenna J. de; Khatri, Indu; Kassem, Sara; Jager, Anniek L. de; Louis, Alesha; Almeida, Julia; Gaans-van den Brink, Jacqueline A. M. van; Barkoff, Alex-Mikael; He, Qiushui; Ferwerda, Gerben; Versteegen, Pauline; Berbers, Guy A. M.; Orfao, Alberto; Dongen, J. J. M. van; Teodosio, Cristina. DataSheet_1_Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.zip. https://doi.org/10.3389/fimmu.2022.935879.s001. http://hdl.handle.net/10261/296590https://doi.org/10.3389/fimmu.2022.935879.s001Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3115032026-05-22T06:33:51Z |
| score |
15.81155 |