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Comparison of three single platform methods for CD34+ hematopoietic stem cell enumeration by flow cytometry
I. Marinov, A. Luxova, V. Tkacova, Z. Gasova, D. Pohlreich, P. Cetkovsky
Language English Country Germany
Document type Comparative Study, Evaluation Study, Journal Article
PubMed
22239039
Knihovny.cz E-resources
- MeSH
- Antigens, CD34 analysis immunology MeSH
- Bone Marrow Cells MeSH
- Dactinomycin analogs & derivatives MeSH
- Granulocyte Colony-Stimulating Factor pharmacology MeSH
- Fluorescein-5-isothiocyanate MeSH
- Fluorescent Dyes MeSH
- Phycoerythrin MeSH
- Hematopoietic Stem Cells MeSH
- Blood Cells MeSH
- Blood Cell Count MeSH
- Laboratories MeSH
- Leukapheresis MeSH
- Humans MeSH
- Hematopoietic Stem Cell Mobilization MeSH
- Antibodies, Monoclonal immunology MeSH
- Cell Count methods MeSH
- Antineoplastic Agents pharmacology MeSH
- Flow Cytometry methods MeSH
- Reproducibility of Results MeSH
- Sensitivity and Specificity MeSH
- Antibody Specificity MeSH
- Bone Marrow Examination MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Comparative Study MeSH
In the present study, we compared three single platform methods for CD34+ hematopoietic stem cell (HSC) enumeration by flow cytometry. For this purpose, we analyzed the performance characteristics and results obtained from different HSC sources. Interlaboratory coefficients of variation (CV) for precision/reproducibility analysis varied from 4.0% to 6.7% / 6.7% to 9.2% for the low and 3.2% to 4.1% / 4.3% to 6.7%, respectively, for the high stem cell control. Correlation between methods ranged from 0.92% to 0.99%; Wilcoxon test showed no significant differences (p > 0.05); Bland-Altman analysis confirmed good agreement between assays (mean bias ranging from -0.48 to 6.91). Our results demonstrate very good intralaboratory correlation and agreement between methods, confirm the major impact of single platform strategy for accurate and reproducible HSC enumeration and suggest that high interlaboratory variability could be influenced by incorrect performance of validated methods.
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