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A model for harmonizing flow cytometry in clinical trials
Open accessAbstract
Complexities in sample handling, instrument setup and data analysis are barriers to the effective use of flow cytometry to monitor immunological parameters in clinical trials. The novel use of a central laboratory may help mitigate these issues.
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“Inter-laboratory variations are also an issue, with Maecker et al. having reported that individual laboratories typically experience a ~20% CV in the data analysis, whereas data from a central laboratory only shows a variance of ~4% [19].”
From Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) (2021) · cites this paper as [19]
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Citations
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Maecker, H. T., McCoy, J. P., & Nussenblatt, R. B. (2012) · Nature reviews. Immunology · doi:10.1038/nri3158 · Cited by 1,199
Self-citationGuidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Cossarizza, A., Chang, H., Radbruch, A., Acs, A., Adam, D., Adam‐Klages, S., Agace, W. W., Aghaeepour, N., Akdiş, M., Allez, M., et al. (2019) · European Journal of Immunology · doi:10.1002/eji.201970107 · Cited by 1,007
Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
Separation, characterization and identification of microplastics and nanoplastics in the environment
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Standardizing Flow Cytometry Immunophenotyping Analysis from the Human ImmunoPhenotyping Consortium
Finak, G., Langweiler, M., Jaimes, M. C., Malek, M., Taghiyar, M. J., Korin, Y. D., Raddassi, K., Devine, L., Obermoser, G., Pękalski, M. Ł., et al. (2016) · Scientific Reports · doi:10.1038/srep20686 · Cited by 286
“We transformed the proportion, (1): yrij=logit(prij), and model (2):”
MethodSelf-citation
Metadata
- Authors
- the FOCIS Human Immunophenotyping Consortium, Maecker, H. T., & McCoy, J. P.
- Affiliations
- Stanford University (US)
- National Institutes of Health (US)
- Corresponding author
- Maecker, Holden T
- Venue
- Nature Immunology
- Published
- 2010-10-19
- Volume
- 11
- Issue
- 11
- Pages
- 975-978
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- PMC
- PMC3400260
- OpenAlex
- W1497374306
- Cited by
- 155
- References
- 26
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 9 · 2021: 10 · 2020: 6 · 2019: 14 · 2018: 10 · 2017: 8 · 2016: 12 · 2015: 16 · 2014: 10 · 2013: 11 · 2012: 14
- FWCI
- 8.01
- Type
- journal article
- Language
- en
- Update notices
- correction (2011-02-15)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Immunology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DukeSpace (Duke University) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- National Institutes of Health (Z99 HL999999)
- National Heart, Lung, and Blood Institute (Z01HL005905, ZICHL005905)
- Topics
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Keywords
- flow cytometry, clinical trials, harmonization, central laboratory, sample handling, instrument setup, data analysis, immune monitoring, standardization
- MeSH terms
- Clinical Trials as Topic, Flow Cytometry, Humans, Specimen Handling
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