Cytometry最新文献

Background: In vitro wound healing assays are experimental models commonly used to analyze cell behavior during the migration process. A new approach is proposed for the quantification of cell motility based on an optical flow method.

Methods: We assumed that cell-population dynamics can be defined by an a priori affine-motion model. Identified model parameters are used as motion descriptors quantifying both elementary and complex cell movements, either at the wound margins or within the cell monolayer.

Results: When compared with the estimation of cell motility calculated from wound area temporal variation, it allows a more detailed and precise characterization of cell population movements. Comparative analysis of normal and cancerous cell lines revealed that typical measured velocities were about 2 microm/h and 7 microm/h for L929 and HeLa cells, respectively, at the beginning of the wound closure. The quantification of the effect of Hoechst 33342 on cell dynamics showed a similar behavior for control and stained cells within 20 h after wound scratching, but then a decreased velocity of stained cells.

Conclusions: The results demonstrate that this approach can be used to gain new insights into the dynamic changes induced by the extracellular environment and by anticancer drugs.

Background: The goal of this study was to evaluate a self-learning algorithm for the computer classification of information extracted from flow cytometric immunophenotype list mode files from high-grade non-Hodgkin's lymphoma (NHL), Hodgkin's disease (HD), and multiple myeloma (MM). Materials and Methods Bone marrow aspirates (BMA) were obtained from untreated NHL (n = 51), HD (n = 9), or MM (n = 13) patients. Bone marrow aspirates were not infiltrated in NHL and HD patients as confirmed by thorough histologic and cytologic investigation; however, MM patients showed an infiltration rate >50% by malignant myeloma cells. Peripheral blood leukocyte (PBL) samples were taken from age-matched healthy volunteers (n = 44) as easily available control material. A second control group of 15 healthy volunteers, from whom BMA and PBL samples were available, allowed us to differentiate whether the observed classification results on malignant samples were due to the malignant process or simply to the inherent differences between BMA and PBL. Bone marrow aspirates and PBL were analyzed by the same immunophenotyping antibody panel (CD45/14/20, CD4/8/3, kappa/CD19/5, lambda/CD19/5). The acquired list mode data files were analyzed and classified by the self-learning triple matrix classification algorithms CLASSIF1 following a priori separation of the data into a learning set and unknown test set. After completion of the learning phase, known patient samples were reclassified and unknown samples prospectively classified by the algorithm.

Results: Highly discriminatory information was extracted for the various lymphoma entities. The most discriminating information was encountered in antibody binding, antibody binding ratios, and relative antibody surface density parameters of leukocytes rather than in percentage frequencies of discrete leukocyte subpopulations. Samples from healthy controls were classified as normal in 97.2% of the cases, whereas those of NHL, HD, and MM patients were on average correctly classified in 80. 8% of the cases.

Conclusions: Although no detectable lymphoma cells were present in BMA of NHL and HD patients, the CLASSIF1 classification of the immunophenotypes of morphologically normal cells provided a surprisingly good disease discrimination equal or better than that obtained by examining pathological lymph nodes according to the respective literature. The results are suggestive for a lymphoma-related and disease-specific antigen expression shift on normal hematopoietic bone marrow cells that can be used to discriminate the underlying disease (specificity of unspecific changes), i.e., in this case NHL from HD. Multiple myeloma patients were discriminated by changes on malignant as well as on normal bone marrow cells.

Background: Current methods to establish stably transfected cell lines by nonviral techniques involve coselection for a drug selection marker. However, this approach suffers from several drawbacks. We developed a fluorescence-activated cell sorting (FACS)-based protocol for the selection and isolation of stable hematopoietic electrotransfectants without the need for selective growth conditions.

Methods: Leukemic K562 cells were electroporated with the enhanced green fluorescent protein (EGFP) reporter gene and FACsorted to obtain stably EGFP-expressing cells. Stable EGFP(+) clones were established by single-cell sorting.

Results: Efficiency of stable EGFP gene expression increased steadily in function of number of consecutive FACsorts. Stable transfectants (>99% EGFP(+)) were obtained after four FACsorts. Furthermore, several single-cell derived clones with variable levels of stable EGFP expression were isolated and cultured without the use of selective growth media.

Conclusions: EGFP is an effective selection marker for the generation and isolation of stably transfected hematopoietic cell clones without the need for selection in toxic media that could create a potentially undesirable stress environment for stably transfected cells.

Within the contemporary multitude of complex methods used in clinical flow cytometry, very few techniques exist which can be described as disease-specific diagnostic tests. Detection of glycophosphatidylinositol (GPI)-linked antigens on hematopoietic cells using monoclonal antibodies and flow cytometry forms the basis of a specific diagnostic test for paroxysmal nocturnal hemoglobinuria (PNH). Absent or markedly diminished expression of GPI-linked antigens is, in the appropriate clinical setting, specific for all patients with PNH. Clinically, PNH is a syndrome characterized by bone marrow failure, acquired hemolytic anemia, and a thrombotic tendency. The molecular genetic lesion responsible for this condition is a somatic mutation of the X-linked pig-a gene within a multipotent hematopoietic stem cell. Due to its rarity, delay in diagnosis is not uncommon for patients with PNH. Once a definitive diagnosis is established, this can make a considerable impact on patient management and prognosis. In this article, we review the complimentary roles that molecular biology and flow cytometry have played in unraveling the genotypic and phenotypic aspects of this unique condition.

Background: Quantitation of adult erythrocytes (RBC) containing fetal hemoglobin (F cells) is of potential clinical utility in evaluating erythropoietic disorders, such as myelodysplasia and hemoglobinopathies, and in monitoring F-cell augmenting therapy. F-cell counting methodologies include fluorescence microscopy and flow cytometry. Previous flow cytometric methods have employed an isotype antibody control to distinguish F cells from non-F cells. We investigated the feasibility of using the orange autofluorescence signal (FL2) in glutaraldehyde-fixed RBC to substitute for fluorescein isothiocyanate (FITC)-labeled isotype control antibody use in F-cell quantitation.

Methods: Our previously published method for fetal red cell detection in fetomaternal hemorrhage was used, employing a FITC-labeled anti-hemoglobin F (HbF) monoclonal antibody reagent. Blood samples with varying F-cell counts were quantitated for F cells using both immunofluorescence microscopy and flow cytometry comparing FITC-labeled isotype to FL1 thresholding defined by FL2 autofluorescence.

Results: F cell percentages obtained by using an FL2 defined threshold for FL1 gating correlated well with expected values in diluted blood samples (r(2) = 0.994, slope = 1. 019, intercept = 0.24), values obtained using an isotype control (r(2) = 0.996, slope = 1.012, intercept = -0.17), and microscopic immunofluorescence counts (r(2) = 0.989, slope = 0.999, intercept = -0.72). F-cell quantitation by the isotype control and FL2 autofluorescence methods was also comparable in 40 blood samples (r(2) = 0.994, slope = 1.014, intercept = 0.03). Intra-assay, interobserver, and interinstrument precision with this autofluorescence gating method exhibited low imprecision (coefficient of variation <14%).

Conclusion: This novel method is a more objective and less laborious alternative for F-cell quantitation by flow cytometry compared to using an isotype control or microscopy, thereby providing a more robust methodology for clinical studies and consideration as a laboratory reference method for F-cell counting.

Expression of cyclins A, B1 and D1 in human breast cancer was analyzed using dual-parameter flow cytometry with simultaneous evaluation of the DNA content. The asynchronous MCF-7 breast adenocarcinoma cells were used to implement flow cytometry analysis and to analyze the cell cycle distribution of cyclins. The patterns of the cyclin expression were also analyzed in vivo in fresh tissue specimens of human breast carcinomas. The combined measurement of DNA and cyclins showed a higher cyclin expression in aneuploid (11.5 +/- 2.0%, 4.3 +/- 1.1%, and 19.5 +/- 3.4% positive cells for cyclins A, B, and D1, respectively) than in diploid carcinomas (3.9 +/- 1.2%, 1.1 +/- 0.4%, and 5.0 +/- 1.2% positive cells for cyclins A, B, and D1, respectively). A positive relationship was also found between cyclin A and D1 expression and H(3)-thymidine labeling index. In the in vitro model, the asynchronous growing MCF-7 cells showed a variable number of cells expressing cyclins in an unscheduled way, unrelated to the phase at which these cyclins are expressed in normal cells. A similar condition was also observed in tumors. In conclusion, the data showed a deregulated expression of cyclins in a transformed adenocarcinoma cell line and in breast tumors. Furthermore, overexpression of these proteins is related to the aneuploid and high proliferative activity of human mammary carcinomas.

Background: Fluorescent markers (labeled antibodies) and flow cytometry are used to enumerate the average number of receptors (antigens) on formed bodies (cells) in whole blood by using a new method that avoids the extra steps of separating bound from unbound fluorescent markers or the use of external standards.

Methods: Mean channel fluorescence intensities of equilibrated marker-cell suspension mixtures, total concentrations of marker, and targeted cell counts obtained by standard cytometry procedures are used to complete the analyses for receptors per cell. Also, flow cytometric assays using competitive binding between fluorescent marker (CD4-RD1, CD8-FITC, CD3-FITC, CD3-RD1) and unlabeled antibody (CD4, CD8, CD3, CD3-dextran) for receptors on white blood cells in whole blood are described for determination of relative and specific binding constants of unlabeled/labeled antibody for targeted receptors.

Results: Ranges that were obtained for receptors per cell (lymphocytes) in normal blood donors were as follows: CD4, 4.9 x 10(4)-1.5 x 10(5); CD8, 5.0 x 10(5)-2.1 x 10(6); CD3, 6.6-7.8 x 10(5). Binding constants were highest for unlabeled CD4 antibody, 2. 7 x 10(10)-2.1 x 10(12) M(-1), and then unlabeled CD3 antibody, 1.1 x 10(10)-1.9 x 10(11) M(-1). FITC- and RD1-labeled antibodies typically had binding constants that were 10-to 100-fold lower than the native antibodies.

Conclusions: Values of receptors per cell and binding constants obtained by the new method from flow cytometric analyses of mixtures of whole blood with FITC- or RD1-labeled CD4, CD8, and CD3 antibodies compare well with literature values determined by other methods.

Background: Perrin equation suggests an alternative way for the accurate energy transfer determination on a cell-by-cell basis by measuring polarized donor intensities in a conventional flow cytometer.

Methods: The relationship between energy transfer and fluorescence anisotropy of the donor was investigated by flow cytometric generation of Perrin-lifetime plots of fluorescent antibody-labeled MHC class I and class II molecules on the surface of living cells. The energy transfer reduced the fluorescence lifetime of the donor.

Results: Perrin plots have proven to be sensitive to the segmental mobility of the labeling dye and that of antibodies of different isotypes, and homo-transfer due to the multiple labeling of antibodies. A method demonstrating the feasibility of energy transfer determination by measuring anisotropy enhancement of the donor is presented. Flow cytometric histograms of the donor anisotropy and of the deduced energy transfer efficiency are shown, indicating clustering of MHC class I and class II molecules on the surface of human T lymphoblasts. In the Appendix, a method for the simultaneous determination of both energy transfer efficiency and donor fluorescence anisotropy, without need for G-factor measurement, is also presented.

Conclusions: We demonstrate that energy transfer efficiency, i.e., proximity, between suitably selected donor and acceptor, and the rotational relaxation of the donor, i.e., donor mobility, can be simultaneously measured in a flow cytometer.

Background: Leishmaniasis is a major tropical and subtropical parasitic disease. Sodium stibogluconate, N-methyl -D-glucamine antimoniate, amphotericin B, pentamidine, and ketoconazole are drugs used to treat this disease. Some of these drugs cause severe adverse side effects and treatment failures are common. Allopurinol, a purine analog, has been used to treat leishmaniasis, alone or combined with the previously mentioned drugs. Low cost, ease of administration (oral), and lack of toxicity make allopurinol a particularly appealing candidate.

Methods: The effect of allopurinol on Leishmania infantum (MCAN/ES/89/IPZ229/1/89, zymodeme MON1) wild-type promastigotes (wt-p229), and an altered form of these promastigotes (allo-p229) resulting from long term in vitro exposure to allopurinol, was determined by [(3)H]-thymidine incorporation assays and by diverse flow cytometric approaches.

Results: Allopurinol arrested the proliferative capacity of wt-p229 promastigotes, reduced the proportion of viable cells, and decreased their total protein content. In contrast, allo-p229 promastigote proliferation was only slightly decelerated and the proportion of viable cells and the protein content were not affected by the allopurinol treatment.

Conclusions: The flow cytometry approach allowed us to demonstrate differences in allopurinol susceptibility of the two promastigote forms, expanding the spectrum of flow cytometry applications in studies of parasite resistance.