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Human basophils express CD22 without expression of CD19
- Source :
- Cytometry. 37:178-183
- Publication Year :
- 1999
- Publisher :
- Wiley, 1999.
-
Abstract
- Background: Even modern automatic cell counters cannot count basophils precisely. Therefore, we need a rapid, accurate, precise, and easy method for counting basophils. Methods: Using flow cytometry, basophils (CD22+/CD19-) and B cells (CD22+/CD19+) were counted. Within a large lymphocyte light scatter gate, % basophils (G%baso) and % B cells (G%B) were determined from the total count. Another method of analysis was to make two regions (R1 for basophils and R2 for B cells) and to determine in those the % basophils (R1%baso) and % B cells (R2%B) without gating. The flow cytometric basophil counts of the blood of 21 normal controls and 43 chronic myelogenous leukemia (CML) patients were compared with manual basophil count (Ma%baso) and basophil count by Coulter electronic cell counter (Hialeah, FL) (Auto%baso). CD22+/CD19- cells were sorted by a FACSCalibur (Becton Dickinson, San Jose, CA). Results: The G%baso of all samples was 4.66 ± 5.35%, and R1%baso was 4.23 ± 4.88%, and they were well-correlated (r = 0.996, P < 0.001). The G%B of all samples was 1.55 ± 1.68%, and R2%B was 1.59 ± 1.67%, and they were also well-correlated (r = 0.993, P < 0.001). Their correlation was better in normal controls than in CML. G%baso was well-correlated to Ma%baso (r = 0.827) and Auto%baso (r = 0.806), and R1%baso was well-correlated to Ma%baso (r = 0.831) but showed poor correlation to Auto%baso (r = 0.734). Auto%baso revealed the poorest correlation to Ma%baso (r = 0.692). The sorted CD22+/CD19- cells were all basophils (99.48 ± 0.30%), and they revealed CD13, CD33, and dim CD45 expression, whereas CD3, CD14, CD16, and HLA-DR were not detected on them. Conclusions: We discovered a specific marker combination to identify basophils (CD22+/CD19-), and we suggest that flow cytometric analysis using these markers is an easy, reliable, and accurate method of basophil counting. Cytometry 37:178–183, 1999. © 1999 Wiley-Liss, Inc.
- Subjects :
- Sialic Acid Binding Ig-like Lectin 2
CD3
Antigens, CD19
Biophysics
Cell Separation
Basophil
CD19
Immunophenotyping
Pathology and Forensic Medicine
Flow cytometry
Leukocyte Count
Endocrinology
Antigens, CD
Lectins
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
medicine
Humans
Fluorescent Antibody Technique, Indirect
B-Lymphocytes
biology
medicine.diagnostic_test
CD22
Becton dickinson
Cell Biology
Hematology
Flow Cytometry
medicine.disease
Molecular biology
Basophils
Antigens, Differentiation, B-Lymphocyte
medicine.anatomical_structure
Immunology
biology.protein
Cell Adhesion Molecules
Cytometry
Chronic myelogenous leukemia
Subjects
Details
- ISSN :
- 10970320 and 01964763
- Volume :
- 37
- Database :
- OpenAIRE
- Journal :
- Cytometry
- Accession number :
- edsair.doi.dedup.....26a81a92b8fd65fde01a2404c6067f67
- Full Text :
- https://doi.org/10.1002/(sici)1097-0320(19991101)37:3<178::aid-cyto3>3.0.co;2-z