Rapid analysis of white blood cells with diffraction imaging flow cytometry

2011 ◽  
Author(s):  
Xin-Hua Hu ◽  
Jun Q. Lu ◽  
Yuanming Feng
2019 ◽  
Vol 97 (3) ◽  
pp. 308-319 ◽  
Author(s):  
Maxim Lippeveld ◽  
Carly Knill ◽  
Emma Ladlow ◽  
Andrew Fuller ◽  
Louise J Michaelis ◽  
...  

2021 ◽  
Author(s):  
Pénélope Bourgoin ◽  
Inès Ait Belkacem ◽  
Isabelle Arnoux ◽  
Pierre-Emmanuel Morange ◽  
Fabrice Malergue

Aim: A new one-step flow cytometry procedure has been recently demonstrated for identifying subjects with infections, but only for fresh whole blood samples. The goal of this study was to assess its applicability on frozen samples, by proposing a new method to perform the sample freezing directly and easily. Methods: Fresh blood was tested, then frozen either directly or with dimethylsulfoxide and serum. Common markers of white blood cells as well as infection-related biomarkers were tested. Results: All percentages of leucocyte subsets and levels of infection-related biomarkers were significantly correlated between frozen and fresh samples. Conclusion: The direct freezing method enables an accurate assessment of common cellular sub-populations and of levels of important infectious biomarkers via flow cytometry.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4741-4741
Author(s):  
Xiaoxian Zhao ◽  
Wouter Korver ◽  
Nichole Prescott ◽  
Arie Abo ◽  
Eric Hsi

Abstract Introduction: Expressed on T, B, NK cells and neutrophils, NTB-A belongs to the signaling lymphocytic activation molecule (SLAM) family of immune receptors. It was reported recently that cross-linking of NTB-A induces T cell activation and Ly108 (the presumed mouse orthologue of NTB-A) controls the production of reactive oxygen species in neutrophils. To date, little is known about its expression at the protein level in normal tissues, or in hematologic malignancies. Methods: We have generated monoclonal antibodies (mAbs) to NTB-A and used tissue microarrays (TMAs) to screen normal tissues and lymphomas. Western blotting and flow cytometry were used for confirmation of selected entities. Complement dependent cytotoxicity (CDC) assays were performed using the CellTiter-Glo Luminescent Cell Viability Assay kit (Promega). Results: NTB-A was not detected in normal tissues including heart, liver, breast, kidney, brain, lung, uterus, small intestine, skin, prostate, pancreas, ovary, bladder, testis and stomach (5/5 negative cases for all above tissues) by IHC. Expression was observed in lymphocytes of normal tonsil and spleen. In lymphomas, we found NTB-A expression in diffuse large B-cell lymphoma (DLBL), follicular lymphoma, small lymphocytic lymphoma (SLL), mantle cell lymphoma and Burkitt lymphoma. Western blotting and flow cytometry of B-cell lymphoma cell lines DOHH2 (DLBL) and Raji (Burkitt) confirmed NTB-A expression in these lines. Myeloma cell lines were negative for expression. Flow cytometry of normal blood cells showed expression of NTB-A in B-cells, T-cells and NK cells (95.5 ± 6.7%, 62.6 ± 29.5% and 72.7 ± 26.5%, respectively) but not in CD66+ granulocytes. Furthermore, CD34+ progenitor cells from bone marrow were negative. Because of the expression in SLL, we focused on chronic lymphocytic leykemia (CLL) cells. All (15/15) patient samples were confirmed positive by flow cytometry. No significant differences in expression levels were observed comparing CLL B-cells vs normal B-cells (n = 10). However, anti-NTB-A antibodies were capable of inducing CDC in white blood cells from CLL patients (n=5) but not in normal white blood cells (n=5), in addition to CDC activity against Raji cells. Preliminary data also suggests that the CDC effect is greater in purified CLL B-cells than purified normal B-cells. Conclusions: These results show that NTB-A is expressed in normal lymphocytes but not in other solid tissues or in CD34+ progenitor cells. B cell malignancies, including Non-Hodgkin lymphoma cells appear to express NTB-A. In particular CLL patient cells express NTB-A, and an anti-NTB-A mouse mAb is capable of inducing CDC, suggesting NTB-A may be a potential immunotherapeutic target. Further studies examining the expression patterns in hematologic malignancies are ongoing.


2016 ◽  
Vol 54 (2) ◽  
pp. 266-270 ◽  
Author(s):  
Silvia Castegnaro ◽  
Patrizia Dragone ◽  
Katia Chieregato ◽  
Alberta Alghisi ◽  
Francesco Rodeghiero ◽  
...  

2017 ◽  
Vol 45 (5) ◽  
Author(s):  
Alicia Martinez-Varea ◽  
Roberto Romero ◽  
Yi Xu ◽  
Derek Miller ◽  
Ahmed I. Ahmed ◽  
...  

AbstractObjectives:1) To characterize the cellular composition of the amniotic fluid of patients diagnosed with clinical chorioamnionitis at term, as a function of the presence or absence of microorganisms determined by cultivation techniques, and 2) to characterize the cytokine production by white blood cells present in the amniotic fluid using flow cytometry-based techniques.Materials and methods:Amniotic fluid samples from 20 women who had the diagnosis of clinical chorioamnionitis at term were analyzed using cultivation techniques (for aerobic and anaerobic bacteria as well as genital Mycoplasmas). Amniotic fluid IL-6 concentrations were determined by an enzyme-linked immunosorbent assay. Amniotic fluid leukocytes were visualized by using hematoxylin and eosin staining and immunofluorescence. Immunophenotyping of surface markers and cytokines was performed in amniotic fluid leukocytes using flow cytometry.Results:1) Neutrophils (CD45+CD15+ cells) were the most common leukocyte subset found in the amniotic fluid, followed by monocytes (CD45+CD14+ cells); other white blood cells (such as lymphocytes and natural killer cells) were scarce in the amniotic fluid; 2) the absolute counts of neutrophils and monocytes were significantly higher in patients with microorganisms found in the amniotic fluid than in those without detectable microorganisms, using cultivation techniques; 3) there was a significant correlation between the absolute counts of neutrophils and monocytes determined by flow cytometry (Spearman’s correlation=0.97; P<0.001); 4) there was a significant correlation between the absolute white blood cell count determined with a hemocytometer chamber and by flow cytometric analysis (Spearman’s correlation=0.88; P<0.001); and 5) the profile of cytokine expression differed between monocytes and neutrophils; while neutrophils predominantly produced TNF-α and MIP-1β, monocytes expressed higher levels of IL-1β and IL-1α.Conclusion:Flow cytometry analysis of the amniotic fluid of patients with intra-amniotic infection and clinical chorioamnionitis at term demonstrated that neutrophils and monocytes are the most common cells participating in the inflammatory process. We have characterized, for the first time, the differential cytokine expression by these cells in this important complication of pregnancy.


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