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PubMed1990

Detection of drug-dependent, platelet-reactive antibodies by antigen-capture ELISA and flow cytometry.

The effectiveness of flow cytometry in the detection of drug-dependent, platelet-reactive antibodies was investigated. In studies of seven sera known to contain quinine- or quinidine-dependent, platelet-reactive antibodies, flow cytometry was 5 to 10 times more sensitive in detecting drug-dependent antibodies (DDAbs) than the 51Cr release assay, antigen-capture enzyme-linked immunosorbent assay (ELISA), and indirect immunofluorescence microscopic assay. With flow cytometry, DDAbs could be detected at drug concentrations as low as 0.1 microM, or less than one-tenth the level required with other methods. Antigen-capture ELISA was not as sensitive as flow cytometry in DDAb detection, but it did allow identification of the DDAbs' target molecules. With this assay, five of the seven DDAbs recognized both the glycoprotein Ib/IX (GPIb/IX) and glycoprotein IIb/IIIa (GPIIb/IIIa) complexes, while the remaining two sera reacted only with GPIb/IX. Of 44 consecutive patients who developed thrombocytopenia while taking quinidine, DDAbs were detected by flow cytometry in 11 (25%), more than twice the number detected by other methods. In one patient who developed thrombocytopenia while taking trimethoprim/sulfamethoxazole, DDAbs could be detected only by flow cytometry. It can be concluded that flow cytometry is highly sensitive in detecting DDAbs and allows their detection at pharmacologic concentrations of the drug. Most quinidine-dependent antibodies recognize at least two different glycoprotein complexes in the platelet membrane.

Antibodies↗
PubMed2005

The role of RhD agglutination for the detection of weak D red cells by anti-D flow cytometry.

Anti-D flow cytometry is an accurate method for quantifying feto-maternal haemorrhage (FMH). However, weak D red cells with <1000 RhD sites are not detectable using this methodology but are immunogenic. As quantitation of RhD sites is not practical, an alternative approach is required to identify those weak D fetal red cells where anti-D flow cytometry is inappropriate. We describe a simple algorithm based on RhD agglutination and flow cytometry peak separation. All weak D (n = 34) gave weak agglutination with RUM-1 on immediate spin (grading </=2.5). In Diamed-ID Diaclon ABO/D or ABO/Rh for Newborn cards two subgroups of weak D were observed. In one subgroup, weak agglutination (grading 3) was observed and the red cells were undetectable by flow cytometry. In the second subgroup, agglutination was strong (grading 4) and the red cells were detectable by anti-D flow cytometry. The accuracy of the quantitation was dependent on adequate separation of the weak D and RhD-negative peaks as in seven of 11 samples <1.11% of an expected 2% red cells were detectable. Monitoring RhD agglutination and flow cytometric peak separation are pivotal if anti-D flow cytometry is to be maintained as the primary technique for FMH quantitation in the routine laboratory.

Agglutination Tests↗
PubMed2005

DNA image cytometry on sections compared with flow cytometry in human bone metastases.

The DNA analysis of tumor cells discloses characteristic features from which their biological behavior with respect to both the intensity and regulation of growth can be deduced. The objective of this study was to comparatively assess the results of image cytometry (ICM) and flow cytometry (FCM) in human bone metastases as standard methods of DNA analysis and evaluate their possible importance. The nuclear DNA content of surgically removed tumors of bone tissue was determined using ICM and FCM, and the percentage of tumor cells in various cell cycle phases and ploidy status in each case were determined based on the DNA distribution pattern. Comparable results were determined by ICM and FCM with respect to the ploidy status in about 58% of examined tumor samples. When tissue samples from various regions of a tumor were examined, it was found that DNA-euploid and -aneuploid tumor areas were present within the tumors. The DNA aneuploidy was detected in 90% of these tumors with ICM. The percentage cell-cycle phase distribution varied widely with ICM and FCM. Based on our results, the use of ICM in addition to FCM is mandatory under certain conditions for the assessment of the DNA analysis of bone metastases and necessary for the critical assessment of the obtained findings.

Adult↗
PubMed2003

Determination of efficiency of attachment of biotinylated antibodies to avidin-linked, aqueous-based microcapsules by flow cytometry.

We used flow cytometry to determine the percentage of aqueous-based microcapsules bearing antibodies specific for various antigen-presenting cells (APCs) within a given population of putative APC-specific microcapsules. Flow cytometry offers a high-throughput, rapid and simple method to analyze antibody binding to noncellular, nonspherical material.

Animals↗
PubMed1988

[Uses of flow cytometry in hematology].

Flow Cytometry, an analytical cytology technic which allows several parameters assessment in thousands cells per seconds is frequently used in hematology. The oldest application is the leucocyte count but several news applications have been developed for the analysis of cytomorphological and functional parameters of normal cells and for detection, classification of tumor cells. Most frequent applications are: The phenotyping of cells and the evaluation of relation between antigens and pathology. The cell cycle analysis which can be different in leukemic cells or which can be modified with chemotherapy or other agents. (Radiotherapy ...) Flow Karyotyping and in situ hybridization will extend applications of Flow Cytometry in hematology.

Blood Cells↗
PubMed1986

Monitoring intravesical bacillus Calmette-Guerin treatment of superficial bladder carcinoma by serial flow cytometry.

Simultaneous urinary flow cytometry, cytologic, and cystoscopic examinations were performed at 3-month intervals for a minimum of 1 year on 29 patients receiving intravesical bacillus Calmette-Guerin (BCG) treatment of superficial bladder carcinoma. Flow cytometry (FCM) and cytology were concordant in 57 of 103 examinations; both FCM and cytology were positive in 38 instances, and carcinoma was confirmed by biopsy in 35 (92.1%). In 16 instances FCM and cytology were negative, but carcinoma was present on biopsy in 5 (31.3%). Three examinations were suspicious by both techniques. The 46 determinations with discordant FCM and cytology were subdivided into pathologically confirmed recurrences (25 instances) and no evidence of pathologic and/or cystoscopic disease (21 instances). In the 25 instances of recurrences, FCM was positive in 18 (72.0%), suspicious in 3 (12.0%), and negative in 4 (16.0%), while cytology was positive in 3 (12.0%), suspicious in 9 (36.0%), and negative in 13 (52.0%). Most patients had a severe BCG-induced inflammatory response that caused an elevation of the hyperdiploid population, believed secondary to epithelial regeneration and proliferation. In the 21 instances without detectable recurrence, hyperploidy led to a relatively high proportion of positive (15) and suspicious (4) results by FCM, but only eight had distinct aneuploid populations. It is possible that this latter group, at least, is harboring occult carcinoma. Conventional cytology in the nonrecurrent group was positive in 1 (4.8%), suspicious in 7 (33.3%), and negative in 13 (61.9%). In those instances when tumor was confirmed by biopsy, the false-negative rate for FCM was 19.7%; the false-negative rate for cytology was 40.9%. Thus, FCM appears to be more sensitive but less specific than conventional cytology, having a lower false-negative but a higher false-positive rate. Although serial FCM provides an objective quantitative measure of aneuploid stemlines and hyperdiploid populations in bladder irrigation specimens and can be helpful in following intravesical BCG therapy for superficial bladder carcinoma, it should still be used with conventional cytology. The greatest difficulty with FCM at present, as with conventional cytology, is in cases of marked inflammation. The results reported here were obtained under the most stringent conditions and represent the minimum level of accuracy. Potential improvements in the technique, with the addition of immunologic or other markers, hold hope of further increasing the accuracy of FCM.

Aged↗
PubMed1988

Flow cytometry of urine.

Flow cytometry is becoming an increasingly important tool for the evaluation of urine cytology. Although it has established a strong foothold in oncologic DNA analysis, studies of whole cells and cell markers are only in their infancy. In addition, potential diagnostic applications such as those involving binding of E. coli strains to uroepeithelial cells will move flow cytometry from a research tool to a real diagnostic tool.

Biomarkers, Tumor↗
PubMed2001

High throughput flow cytometry.

BACKGROUND: Conventional flow cytometry does not allow the rapid analysis of multiple samples. This has limited its uses in drug discovery, for which the standard for throughput is 100,000 samples per day. METHODS: We describe a simple method in which commercial peristaltic tubing is connected from a commercial autosampler to a flow cytometer. The samples are delivered via a peristaltic pump from source wells in a multiwell plate. The samples are separated by air bubbles. RESULTS: Throughput rates approach the limit of the autosampler (up to 100 wells per minute). Using optimal tubing and flow rates, particles remain within appropriate light scatter and fluorescence gates. The carryover between wells is typically less than 5% without and 1% with a wash step. The volumes of sample delivered are in the microliter scale. The approach has been validated with instruments from three manufacturers. CONCLUSIONS: Flow cytometry has potential throughput of 100,000 samples or more per day starting with the method described. The method is currently best suited to end-point assays. However, combined with high-speed sorting and single- cell assays, the number of assays could approach 1 billion per day.

Flow Cytometry↗
PubMed2001

Pattern recognition in flow cytometry.

BACKGROUND: Analytical flow cytometry (AFC), by quantifying sometimes more than 10 optical parameters on cells at rates of approximately 10(3) cells/s, rapidly generates vast quantities of multidimensional data, which provides a considerable challenge for data analysis. We review the application of multivariate data analysis and pattern recognition techniques to flow cytometry. METHODS: Approaches were divided into two broad types depending on whether the aim was identification or clustering. Multivariate statistical approaches, supervised artificial neural networks (ANNs), problems of overlapping character distributions, unbounded data sets, missing parameters, scaling up, and estimating proportions of different types of cells comprised the first category. Classic clustering methods, fuzzy clustering, and unsupervised ANNs comprised the second category. We demonstrate the state of the art by using AFC data on marine phytoplankton populations. RESULTS AND CONCLUSIONS: Information held within the large quantities of data generated by AFC was tractable using ANNs, but for field studies the problem of obtaining suitable training data needs to be resolved, and coping with an almost infinite number of cell categories needs further research.

Flow Cytometry↗
PubMed1986

Mouse testicular and sperm cell development characterized from birth to adulthood by dual parameter flow cytometry.

Dual parameter flow cytometry was used to investigate cellular changes in male germinal tissue during normal postpartum maturation in B6C3F1/J mice. Animals were killed at 2-day intervals from 2 to 42 days postpartum and at 48, 64, 72, 93 and 100 days postpartum. Testicular, cauda epididymis and vas deferens cell suspensions were stained with the metachromatic fluorochrome acridine orange and measured by flow cytometry for red and green fluorescence levels after excitation by blue laser light. Intensities of red and green fluorescence reflect amounts of single- and double-strand nucleic acid sites available for acridine orange staining, respectively, and were used to classify cells on the basis of ploidy level, RNA content, and chromatin structure, as defined by susceptibility to acid denaturation of DNA in situ. Sperm from cauda epididymis and vas deferens were examined by light microscopy to determine frequency of abnormal sperm head morphology. Fluorescence data derived from acridine orange-stained testicular cells quantified the sequential changes in 1) proportions of haploid, diploid and tetraploid cell types during the first round of spermatogenesis, and 2) proportions of round, elongating, and elongated spermatids during the first round of spermiogenesis. Ratios of the three major testicular populations (haploid, diploid, and tetraploid) reached adult levels by 48 days postpartum. Sperm cells were first detected in the cauda epididymis and vas deferens on 30 and 36 days postpartum, respectively. Early sperm populations, compared to adult sperm, exhibited up to 89% abnormalities in sperm head morphology that correlated with significant levels of abnormal chromatin structure. Percentage of sperm head abnormalities and chromatin structure in the cauda epididymis and vas deferens approached normal adult levels by 42 and 48 days postpartum, respectively.

Acridine Orange↗
PubMed2006

Feature-guided clustering of multi-dimensional flow cytometry datasets.

BACKGROUND: Flow cytometry produces large multi-dimensional datasets of the physical and molecular characteristics of individual cells. The objective of this study was to simplify the cytometry datasets by arranging or clustering "objects" (cells) into a smaller number of relatively homogeneous groups (clusters) on the basis of interobject similarities and dissimilarities. RESULTS: The algorithm was designed to be driven by histogram features; that is, the relevant single parameter histogram features were used to guide multidimensional k-means clustering without an a priori estimate of cluster number. To test this approach, we simulated cell-derived datasets using protein-coated microspheres (artificial "cells"). The microspheres were constructed to provide 119 populations in 40 samples. The feature-guided (FG) approach accurately identified 100% of the predetermined cluster combinations. In contrast, an approach based on the partition index (PI) cluster validity measure accurately identified 83.2% of the clusters. Direct comparisons of the two methods indicated that the FG method was significantly more accurate than PI in identifying both the number of clusters and the number of objects within the clusters (p<.0001). CONCLUSION: We conclude that parameter feature analysis can be used to effectively guide k-means clustering of flow cytometry datasets.

Algorithms↗
PubMed1987

In vivo cell kinetic effects of cis-platinum on human ovarian cancer xenografts measured by dual parameter flow cytometry.

Dual parameter flow cytometry, measuring DNA and nuclear protein of individual cell nuclei simultaneously, makes it possible to follow cell kinetic perturbations in six distinct compartments of the cell cycle following chemotherapy in vivo. Human ovarian cancer xenografts in nude mice from a primary and recurrent tumor of the same patient were studied. The response to intraperitoneal application of cis-platinum was assessed by tumor volume measurements, changes in labeling indices by autoradiography, and dual parameter flow cytometry. Sequential tissue samples were taken from each tumor using fine needle aspirations as a microbiopsy method. Pretherapy samples were compared to multiple specimens collected up to 18 days after therapy. Morphologic changes of each specimen were also assessed. Cis-platinum affects malignant cells in the G1B, S, G2A, and G2B compartments with various intensities and different time frames, depending on the drug sensitivity of each individual tumor.

Animals↗
PubMed2002

Rapid antimicrobial susceptibility testing of urinary tract isolates and samples by flow cytometry.

A multiparametric flow cytometry antimicrobial susceptibility test was developed and its performance was evaluated on clinical urine isolates and samples in comparison with standard methods. Alterations in cytoplasmic membrane integrity were monitored by propidium iodide, and the anionic probe bis-(1,3-dibutylbarbituric acid) trimethine oxonol (DiBAC4(3)) was used to measure changes in membrane potential. Microbial size and cellular content were analysed by light scattering. Twelve antibiotics were tested on 6 ATCC control strains, 22 urine isolates and 19 clinical urine samples, variously containing Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Proteus mirabilis, Enterococcus faecalis, Staphylococcus aureus, S. saprophyticus and S. epidermidis. Agreement between the flow cytometry results, broth microdilution and disk diffusion tests was 93.9% (n = 328 tests). Of the 20 discrepancies observed, 18 were for species other than E. coli. Perfect correlation was obtained with five antibiotics, whereas norfloxacin, nitrofurantoin and tetracycline were responsible for 13(65%) of the 20 discrepancies.

Anti-Bacterial Agents↗
PubMed2006

ThromboFix platelet stabilizer: advances in clinical platelet analyses by flow cytometry?

UNLABELLED: Platelet flow cytometry is restricted by spontaneous platelet activation in unfixed samples or by significant alterations of platelet performance caused by the use of fixatives. Aim of this study was to evaluate the new platelet stabilizer ThromboFix for clinical diagnostics. METHODS: Whole blood samples with or without addition of a weak (ADP) or strong (TRAP-6) agonist were fixed with either ThromboFix or paraformaldehyde (PFA) and stored for different periods of time for up to 7 days. Samples were then incubated with either CD41 and CD62P or CD42b and CD45 monoclonal antibodies and analyzed by flow cytometry. RESULTS: The numbers of platelets, microparticles and aggregates remained stable for 7 days after treatment with ThromboFix but not with PFA due to an increasing aggregate formation after 3 days. Platelet activation was restricted to less than 1% of CD62P positive events in resting samples without a significant difference compared to an unfixed reference sample. Fixation, however, significantly reduced CD62P expression after stimulation (P < 0.05). Stabilized by ThromboFix, the level of platelet activation remained unchanged in resting and ADP stimulated samples for 7 days but decreased moderately with time after a strong stimulation with TRAP-6 (P < 0.01). After PFA fixation, intact CD62P antigen disappeared from the platelet surface within hours (P < 0.01). ThromboFix reduced the formation of platelet-leukocyte conjugates significantly (P < 0.05) and, in contrast to PFA, failed to stabilize the already formed conjugates. CONCLUSION: In clinical situations without immediate access to a flow cytometer, ThromboFix is helpful in the flow cytometric analysis of the platelet activation marker CD62P. It should not be used for the investigation of platelet-leukocyte conjugate formation.

Adenosine Diphosphate↗
PubMed2005

Coordinate analysis of murine immune cell surface markers and intracellular phosphoproteins by flow cytometry.

Recently, phosphospecific flow cytometry has emerged as a powerful tool to analyze intracellular signaling events in complex populations of cells because of its ability to simultaneously discriminate cell types based on surface marker expression and measure levels of intracellular phosphoproteins. This has provided novel insights into the cell- and pathway-specific nature of immune signaling. However, we and others have found that the fixation and permeabilization steps necessary for phosphoprotein analysis often negatively affect the resolution of cell types based on surface marker analysis and light scatter characteristics. Therefore, we performed a comprehensive profile of >35 different murine surface marker Abs to understand the effects of fixation and permeabilization on surface Ag staining. Fortuitously, approximately 80% of the Abs tested resolved cell populations of interest, although with decreased separation between positive and negative populations and at very different titers than those used on live cells. The other 20% showed either complete loss of separation between populations or loss of intermediately staining populations. We were able to rescue staining of several of these Ags by performing staining after fixation, but before permeabilization, although with limited fluorophore choices. Scatter characteristics of lymphocytes were well retained, but changed dramatically for monocyte and neutrophil populations. These results compile a comprehensive resource for researchers interested in applying phosphospecific flow cytometry to complex populations of cells while outlining steps necessary to successfully apply new surface marker Abs to this platform.

Animals↗
PubMed1999

Estimation of kinetic cell-cycle-related gene expression in G1 and G2 phases from immunofluorescence flow cytometry data.

BACKGROUND: Flow cytometry of immunofluorescence and DNA content provides measures of cell-cycle-related gene expression (protein and/or epitope levels) for asynchronously growing cells. From these data, time-related expression through S phase can be directly measured. However, for G1, G2, and M phases, this information is unavailable. We present an objective method to model G1 and G2 kinetic expression from an estimate of a minimum biological unit of positive immunofluorescence derived from the distribution of specific immunofluorescence of mitotic cells. METHODS: DU 145 cells were stained for DNA, cyclin B1, and a mitotic marker (p105) and analyzed by flow cytometry. The cyclin B1 immunofluorescence (B1) distribution of p105-positive cells was used to model the B1 distribution of G2 and G1 cells. The G1/S and S/G2 interface measurements were used to calculate expression in S phase and test the validity of the approach. RESULTS: B1 at S/G2 closely matched the earliest modeled estimate of B1 in G2. B1 increased linearly through G1 and S but exponentially through G2; mitotic levels were equivalent to the highest G2 levels. G1 modeling of B1 was less certain than that of G2 due to low levels of expression but demonstrated general feasibility. CONCLUSIONS: By this method, the upper and lower bounds of cyclin B1 expression could be estimated and kinetic expression through G1, G2, and M modeled. Together with direct measurements in S phase, expression of B1 throughout the entire cell cycle of DU 145 cells could be modeled. The method should be generally applicable given model-specific assumptions.

Cell Cycle↗
PubMedDate not supplied

Bacterial growth control studied by flow cytometry.

By employing flow cytometry, the DNA content and cell size of individual bacterial cells may be determined rapidly and with high precision. Also, the number of DNA replication origins in Escherichia coli cells can be measured after treating the cells with rifampicin together with the cell division inhibitor cephalexin. As opposed to wild type cells, certain mutants contain, with high frequency, a number of origins different from 2n, indicating that the mutants do not initiate DNA replication at all origins simultaneously. Here we give evidence that this asynchrony phenotype cannot occur as a consequence of aberrant chromosomal segregation or cell division, but can only be caused by defective coordination of multiple initiation events within one and the same cell. Flow cytometry has been used to perform exact and detailed analyses of the growth and cell cycle of E. coli. While the DNA distribution of a bacterial culture was unchanged as long as steady-state growth was maintained, the cellular DNA content was reduced when the culture approached and entered stationary phase. Only after prolonged incubation in stationary phase did the cells contain fully replicated chromosomes, and rapidly growing cells ended up with either 2 or 4 chromosomes in stationary phase.

Cell Cycle↗