Automated data acquisition by confocal laser scanning microscopy and image analysis of triple stained immunofluorescent leukocytes in tissue

Data-driven microscopy allows for automated context-specific acquisition of high-fidelity image data

Light microscopy is a powerful single-cell technique that allows for quantitative spatial information at subcellular resolution. However, unlike flow cytometry and single-cell sequencing techniques, microscopy has issues achieving high-quality population-wide sample characterization while maintaining high resolution. Here, we present a general framework, data-driven microscopy (DDM) that uses real-time population-wide object characterization to enable data-driven high-fidelity imaging of relevant phenotypes based on the population context. DDM combines data-independent and data-dependent steps to synergistically enhance data acquired using different imaging modalities. As a proof of concept, we develop and apply DDM with plugins for improved high-content screening and live adaptive microscopy for cell migration and infection studies that capture events of interest, rare or common, with high precision and resolution. We propose that DDM can reduce human bias, increase reproducibility, and place single-cell characteristics in the context of the sample population when interpreting microscopy data, leading to an increase in overall data fidelity.

Analysis of sensitivity and specificity: precise recognition of neutrophils during regeneration of contused skeletal muscle in rats

In this report, we applied the TissueFAXS 200 digital pathological analysis system to rapidly and accurately identify neutrophils during regeneration of contused skeletal muscle, and to provide information for follow-up studies on neutrophils to estimate wound age. Rat injury model was established, and skeletal muscle samples were obtained from the control group and contusion groups at 1, 1.5, 2, 3, 4, and 6 h, as well as at 1, 3, 5, and 15 d post-injury (n = 5 per group). The expression of nuclei and neutrophils was detected by hematoxylin and eosin (HE) staining and immunohistochemical (IHC) staining. A total of 20 injury site areas of 0.25 mm² (0.5 mm × 0.5 mm) were then randomly selected at all time points. A TissueFAXS 200 digital pathological analysis system was used to identify the positive and negative numbers. Knowledge of five professional medical workers were considered the gold standard to measure the false positive rate (FPR), false negative rate (FNR), sensitivity, specificity, and area under the curve (AUC) of receiver operating characteristic (ROC) curves. As a result, with a staining area of neutrophils from 8 µm² to 15 µm², the FPR was 4.28%–12.14%, the FNR was 12.42%–64.08%, the sensitivity was 35.92%–87.58%, the specificity was 87.86%–95.72%, the Youden index was 0.316–0.754, the accuracy was 82.80%–88.30%, and the AUC was 0.771–0.826. The AUC was largest when the cut-off value of the staining area was 12 µm². Our results show that this software-based method is more accurate than the human eye in evaluating neutrophil infiltration. Based on the sensitivity and specificity, neutrophils can be accurately identified during regeneration of contused skeletal muscle. The TissueFAXS 200 digital pathological analysis system can also be used to optimize conditions for different cell types under various injury conditions to determine the optimal cut-off value of the staining area and provide optimal conditions for further study. Furthermore, it will provide evidence for forensic pathology cases.

Automated macrophage counting in DLBCL tissue samples: a ROF filter based approach

BACKGROUND

For analysis of the tumor microenvironment in diffuse large B-cell lymphoma (DLBCL) tissue samples, it is desirable to obtain information about counts and distribution of different macrophage subtypes. Until now, macrophage counts are mostly inferred from gene expression analysis of whole tissue sections, providing only indirect information. Direct analysis of immunohistochemically (IHC) fluorescence stained tissue samples is confronted with several difficulties, e.g. high variability of shape and size of target macrophages and strongly inhomogeneous intensity of staining. Consequently, application of commercial software is largely restricted to very rough analysis modes, and most macrophage counts are still obtained by manual counting in microarrays or high power fields, thus failing to represent the heterogeneity of tumor microenvironment adequately.

METHODS

We describe a Rudin-Osher-Fatemi (ROF) filter based segmentation approach for whole tissue samples, combining floating intensity thresholding and rule-based feature detection. Method is validated against manual counts and compared with two commercial software kits (Tissue Studio 64, Definiens AG, and Halo, Indica Labs) and a straightforward machine-learning approach in a set of 50 test images. Further, the novel method and both commercial packages are applied to a set of 44 whole tissue sections. Outputs are compared with gene expression data available for the same tissue samples. Finally, the ROF based method is applied to 44 expert-specified tumor subregions for testing selection and subsampling strategies.

RESULTS

Among all tested methods, the novel approach is best correlated with manual count (0.9297). Automated detection of evaluation subregions proved to be fully reliable. Comparison with gene expression data obtained for the same tissue samples reveals only moderate to low correlation levels. Subsampling within tumor subregions is possible with results almost identical to full sampling. Mean macrophage size in tumor subregions is 152.5±111.3 μm2.

CONCLUSIONS

ROF based approach is successfully applied to detection of IHC stained macrophages in DLBCL tissue samples. The method competes well with existing commercial software kits. In difference to them, it is fully automated, externally repeatable, independent on training data and completely documented. Comparison with gene expression data indicates that image morphometry constitutes an independent source of information about antibody-polarized macrophage occurence and distribution.

Immune Cell and Cell Cluster Phenotyping, Quantitation, and Visualization Using In Silico Multiplexed Images and Tissue Cytometry

Phenotyping immune cells and cell clusters in situ, including their activation state and function, can aid in interpretation of spatial relationships within the tissue microenvironment. Immune cell phenotypes require multiple biomarkers. However, conventional microscopy setups can only image up to four biomarkers at one time. In this report, we describe and give an example of a workflow to phenotype, quantitate, and visualize greater than four biomarkers in silico utilizing multiplexed fluorescence histology and the TissueFAXS quantitative imaging system with a conventional microscopy setup. Biomarkers were conjugated to Cy3 or Cy5. Multiplexed staining was performed on formalin-fixed paraffin-embedded tissue sections. We imaged the slides, inactivated the dyes, and repeated the process until all biomarkers were stained. Phenotype profiles were built based on in silico combinations of the biomarkers. We used algorithms that aligned all images to create a composite image, isolated each cell in the image, and identified biomarker positive cells in the image. The in silico phenotypes were quantitated and displayed through flow cytometry-like histograms and dot scatterplots in addition to backgating into the tissue images. The advantage of our workflow is that it provides visual verification of cell isolation and identification as well as highlight characteristics of cells and cell clusters. © 2018 International Society for Advancement of Cytometry.

Semi-automated scoring of triple-probe FISH in human sperm using confocal microscopy

Structural and numerical sperm chromosomal aberrations result from abnormal meiosis and are directly linked to infertility. Any live births that arise from aneuploid conceptuses can result in syndromes such as Kleinfelter, Turners, XYY and Edwards. Multi-probe fluorescence in situ hybridization (FISH) is commonly used to study sperm aneuploidy, however manual FISH scoring in sperm samples is labor-intensive and introduces errors. Automated scoring methods are continuously evolving. One challenging aspect for optimizing automated sperm FISH scoring has been the overlap in excitation and emission of the fluorescent probes used to enumerate the chromosomes of interest. Our objective was to demonstrate the feasibility of combining confocal microscopy and spectral imaging with high-throughput methods for accurately measuring sperm aneuploidy. Our approach used confocal microscopy to analyze numerical chromosomal abnormalities in human sperm using enhanced slide preparation and rigorous semi-automated scoring methods. FISH for chromosomes X, Y, and 18 was conducted to determine sex chromosome disomy in sperm nuclei. Application of online spectral linear unmixing was used for effective separation of four fluorochromes while decreasing data acquisition time. Semi-automated image processing, segmentation, classification, and scoring were performed on 10 slides using custom image processing and analysis software and results were compared with manual methods. No significant differences in disomy frequencies were seen between the semi automated and manual methods. Samples treated with pepsin were observed to have reduced background autofluorescence and more uniform distribution of cells. These results demonstrate that semi-automated methods using spectral imaging on a confocal platform are a feasible approach for analyzing numerical chromosomal aberrations in sperm, and are comparable to manual methods. © 2017 International Society for Advancement of Cytometry.

Nodal metastasis signatures in breast cancer

Although the molecular taxonomy of invasive breast cancer is based on heterogeneous histologic types, pathologic nodal (pN) stage remains one of the most important independent prognostic factors. Although node-positive number (NPN) has been widely as an accepted staging algorithm of pN stage, the node-positive ratio (NPR) in totally resected axillary nodes has been considered as another reasonable indicator. We aimed to identify signatures to play a predictive role in nodal metastasis for analytic validation between the primary breast cancers with positive node metastasis and those with negative node metastasis. We validated expression profiles of surrogate candidates extracted from the prior 2D MALDI-TOF data for invasive breast cancer using fluorescence/silver in situ hybridization (FISH/SISH) and immunohistochemistry (IHC) in 151 primary breast cancers accompanied with 102 metastatic nodal tissues. Cox proportional hazards regression analyses indicated that event factors (recurrence or metastasis) were significantly more frequent in cases with CCDN1, c-myc gene amplification, IgHA2 low expression. CCDN1 gene amplification (OR: 5.702, p=0.0006), IgHA2 low expression (OR: 0.16, p=0.0184) remained significant factors for events on multivariate analyses. WDR⁺/ERK⁺⁺ was significantly detected in higher pN stage (averaging 6.5 regional nodes or 43% of NPR), while seldom found in pN0-1. In conclusion, both overexpression of WDR1 and p-ERK in the primary breast cancer could play a role in the nodal signature over pN2-3.

Cell Line Macroarray: An Alternative High-Throughput Platform to Analyze hiPSC Lines

In the past decade, tissue microarray (TMA) technology has evolved as an innovative tool for high-throughput proteomics analysis and mainly for biomarker validation. Similarly, enormous amount of data can be obtained from the cell line macroarray (CLMA) technology, which developed from the TMA using formalin-fixed, paraffin-embedded cell pellets. Here, we applied CLMA technology in stem cell research and in particular to identify bona fide neogenerated human induced pluripotent stem cell (hiPSC) clones suitable for down the line differentiation. All hiPSC protocols generate tens of clones, which need to be tested to determine genetically stable cell lines suitable for differentiation. Screening methods generally rely on fluorescence-activated cell sorting isolation and coverslip cell growth followed by immunofluorescence; these techniques could be cumbersome. Here, we show the application of CLMA to identify neogenerated pluripotent cell colonies and neuronal differentiated cell products. We also propose the use of the automated image analyzer, TissueQuest, as a reliable tool to quickly select the best clones, based upon the level of expression of multiple pluripotent biomarkers.

Software-assisted morphometric and phenotype analyses of human peripheral blood monocyte-derived macrophages induced by a microenvironment model of human esophageal squamous cell carcinoma

Human macrophages play important roles in tumor promotion and are called tumor-associated macrophages (TAMs). We previously demonstrated that human esophageal squamous cell carcinomas (ESCCs) contain TAMs and that these TAMs tend to have tumor-supporting features. Here we exposed human macrophages to conditioned media of TE-series human ESCC cell lines (TECMs) to generate an ESCC extracellular stimuli-influenced TAM model. CD14(+) peripheral blood monocytes (PBMos) from healthy donors were treated with M-CSF and with additional IL-4 or TECM exposure. Morphological changes of the cells and the induction of CD163/CD204 proteins were detected in the TECM-exposed model TAMs by immunofluorescence. A software-assisted immunofluorescent cell image analysis showed increased CD163/CD204 positivity in the model TAMs and a weak to moderate positive correlation between the cytoplasmic area and the sum fluorescent intensity of CD204. Morphological changes of the cells were significantly reflected by several cytomorphometric parameters. PBMos were elongated with M-CSF treatment, then enlarged with TECM exposure. The cytoplasmic aspect ratio was decreased by M-CSF treatment and slightly increased by TECM exposure. The nuclear-cytoplasmic ratio decreased during the whole process of cell differentiation. This system is useful for quantitative assessments of TAM-like morphological changes of macrophages and the induction of CD163/CD204 in a model ESCC microenvironment.

An Emerging Approach for Parallel Quantification of Intracellular Protozoan Parasites and Host Cell Characterization Using TissueFAXS Cytometry

Characterization of host-pathogen interactions is a fundamental approach in microbiological and immunological oriented disciplines. It is commonly accepted that host cells start to change their phenotype after engulfing pathogens. Techniques such as real time PCR or ELISA were used to characterize the genes encoding proteins that are associated either with pathogen elimination or immune escape mechanisms. Most of such studies were performed in vitro using primary host cells or cell lines. Consequently, the data generated with such approaches reflect the global RNA expression or protein amount recovered from all cells in culture. This is justified when all host cells harbor an equal amount of pathogens under experimental conditions. However, the uptake of pathogens by phagocytic cells is not synchronized. Consequently, there are host cells incorporating different amounts of pathogens that might result in distinct pathogen-induced protein biosynthesis. Therefore, we established a technique able to detect and quantify the number of pathogens in the corresponding host cells using immunofluorescence-based high throughput analysis. Paired with multicolor staining of molecules of interest it is now possible to analyze the infection profile of host cell populations and the corresponding phenotype of the host cells as a result of parasite load.

Specific expression of OATPs in primary small cell lung cancer (SCLC) cells as novel biomarkers for diagnosis and therapy

The expression of organic anion transporting polypeptides (OATPs) was elucidated in cell lines from small cell lung cancer (SCLC) and lung carcinoids and in paraffin-embedded samples from primary and metastatic SCLCs. We found a strong relationship between OATP expression and the origin of the cells, as cells from primary or metastatic SCLC and carcinoid tumors differ with respect to OATP levels. OATP4A1 is most prominent in non-malignant lung tissue and in all SCLC and carcinoid cell lines and tissues, OATP5A1 is most prominent in metastatic cells, and OATP6A1 is most prominent in SCLC cell lines and tumors. Treatment with topotecan, etoposide and cisplatin caused significant changes in the expression patterns of OATP4A1, OATP5A1, OATP6A1, chromogranin and synaptophysin. This effect was also evident in GLC-14 cells from an untreated SCLC patient before chemotherapy compared to GLC-16/-19 chemoresistant tumor cells from this patient after therapy. mRNA expression of OATP4A1, 5A1 and 6A1 correlates with protein expression as confirmed by quantitative microscopic image analysis and Western blots. OATPs might be novel biomarkers for tumor progression and the development of metastasis in SCLC patients.

Reliable quantification of protein expression and cellular localization in histological sections

In targeted therapy, patient tumors are analyzed for aberrant activations of core cancer pathways, monitored based on biomarker expression, to ensure efficient treatment. Thus, diagnosis and therapeutic decisions are often based on the status of biomarkers determined by immunohistochemistry in combination with other clinical parameters. Standard evaluation of cancer specimen by immunohistochemistry is frequently impeded by its dependence on subjective interpretation, showing considerable intra- and inter-observer variability. To make treatment decisions more reliable, automated image analysis is an attractive possibility to reproducibly quantify biomarker expression in patient tissue samples. We tested whether image analysis could detect subtle differences in protein expression levels. Gene dosage effects generate well-graded expression patterns for most gene-products, which vary by a factor of two between wildtype and haploinsufficient cells lacking one allele. We used conditional mouse models with deletion of the transcription factors Stat5ab in the liver as well Junb deletion in a T-cell lymphoma model. We quantified the expression of total or activated STAT5AB or JUNB protein in normal (Stat5ab^+/+ or JunB^+/+), hemizygous (Stat5ab^+/Δ or JunB^+/Δ) or knockout (Stat5ab^Δ/Δ or JunB^Δ/Δ) settings. Image analysis was able to accurately detect hemizygosity at the protein level. Moreover, nuclear signals were distinguished from cytoplasmic expression and translocation of the transcription factors from the cytoplasm to the nucleus was reliably detected and quantified using image analysis. We demonstrate that image analysis supported pathologists to score nuclear STAT5AB expression levels in immunohistologically stained human hepatocellular patient samples and decreased inter-observer variability.

Blockade of Fas signaling in breast cancer cells suppresses tumor growth and metastasis via disruption of Fas signaling-initiated cancer-related inflammation

Mechanisms for cancer-related inflammation remain to be fully elucidated. Non-apoptotic functions of Fas signaling have been proposed to play an important role in promoting tumor progression. It has yet to be determined if targeting Fas signaling can control tumor progression through suppression of cancer-related inflammation. In the current study we found that breast cancer cells with constitutive Fas expression were resistant to apoptosis induction by agonistic anti-Fas antibody (Jo2) ligation or Fas ligand cross-linking. Higher expression of Fas in human breast cancer tissue has been significantly correlated with poorer prognosis in breast cancer patients. To determine whether blockade of Fas signaling in breast cancer could suppress tumor progression, we prepared an orthotopic xenograft mouse model with mammary cancer cells 4T1 and found that blockade of Fas signaling in 4T1 cancer cells markedly reduced tumor growth, inhibited tumor metastasis in vivo, and prolonged survival of tumor-bearing mice. Mechanistically, blockade of Fas signaling in cancer cells significantly decreased systemic or local recruitment of myeloid derived suppressor cells (MDSCs) in vivo. Furthermore, blockade of Fas signaling markedly reduced IL-6, prostaglandin E2 production from breast cancer cells by impairing p-p38, and activity of the NFκB pathway. In addition, administration of a COX-2 inhibitor and anti-IL-6 antibody significantly reduced MDSC accumulation in vivo. Therefore, blockade of Fas signaling can suppress breast cancer progression by inhibiting proinflammatory cytokine production and MDSC accumulation, indicating that Fas signaling-initiated cancer-related inflammation in breast cancer cells may be a potential target for treatment of breast cancer.

Prognostic impact of tumor infiltrating CD8+ T cells in association with cell proliferation in ovarian cancer patients--a study of the OVCAD consortium

BACKGROUND

Epithelial ovarian cancer is one of the most lethal gynecologic malignancies. Clinicopathological factors do not permit precise prognosis and cannot provide guidance to specific treatments. In this study we assessed tumor infiltrating CD8+ T cells in association with Ki67 proliferation index and evaluated their prognostic impact in EOC samples.

METHODS

CD8+ cells and Ki67 proliferation index were immunohistochemically determined on tissue microarrays including 203 primary epithelial ovarian tumors. Additionally, CD8 gene expression was assessed with RT-qPCR. Correlations were analyzed using Pearson's correlation coefficients, ANOVA or T-test, or Fischer's exact tests. Prognostic impact was evaluated using the Kaplan-Meier method and Cox regression model.

RESULTS

The density of CD8+ infiltrating lymphocytes did not correlate with tumor cell proliferation. Epithelial ovarian cancer patients with no Ki67+ cells in the tumor had a more than three times higher risk to die compared to the population with Ki67+ cells in the tumor (Hazard ratio (HR) = 3.34, 95%CI 1.59-7.04). High CD8+ cell infiltration was associated with improved overall survival (HR = 0.82, 95%CI 0.73-0.92).

CONCLUSIONS

The density of tumor infiltrating lymphocytes is independent of tumor cell proliferation. Ovarian cancer patients with Ki67- tumors showed a significantly reduced overall survival, presumably due to no or poor response to platinum-based chemotherapy. Moreover, the association of high densities of tumor infiltrating cytotoxic T lymphocytes with a better overall survival was confirmed.

Swine leukocyte antigen-DQ expression and its regulation by interferon-gamma at the maternal-fetal interface in pigs

Successful pregnancy requires an appropriate intrauterine immune response to the conceptus, which is a semiallograft within the uterus. We reported that swine leukocyte antigen-DQA (SLA-DQA), a major histocompatibility complex (MHC) class II gene, is expressed in the uterine endometrium at the time of conceptus implantation in pigs. Because MHC molecules play critical roles in the immune system, SLA-DQ was hypothesized to be involved in immune regulation during pregnancy. Therefore, we examined expression of SLA-DQ in uterine endometrial tissues obtained during the estrous cycle and pregnancy. SLA-DQA and SLA-DQB mRNAs were detected as 1.3-kb and 1.2-kb bands, respectively. Real-time RT-PCR analysis indicated that SLA-DQA and SLA-DQB mRNA expression was affected by day and pregnancy status, with the highest expression on Day 15 of pregnancy. SLA-DQ was localized primarily to subepithelial stromal cells and endothelial cells of the uterus. Using endometrial explant cultures from Day 12 of the estrous cycle, we determined that expression of SLA-DQA and SLA-DQB mRNAs increased in response to interferon-gamma (IFNG), which is produced by pig conceptus trophectoderm between Days 14 and 18 of pregnancy. The abundance of SLA-DQ protein was less in endometria from gilts with conceptuses resulting from somatic cell nuclear transfer compared with endometria from gilts with conceptuses resulting from natural mating. These results support our hypothesis that SLA-DQ is expressed in response to IFNG from the conceptus, and likely regulates immune response at the maternal-fetal interface to support the maintenance of pregnancy in pigs.

Deficiency of the macrophage growth factor CSF-1 disrupts pancreatic neuroendocrine tumor development

Tumor-associated macrophages have recently emerged as a key regulatory cell type during cancer progression, and have been found to promote tumor malignancy in the majority of studies performed to date. We show in this study that CD68(+) macrophages positively correlate with tumor grade and liver metastasis in human pancreatic neuroendocrine tumors (PNETs). To investigate the potential mechanisms whereby macrophages can promote PNET progression, we crossed the RIP1-Tag2 (RT2) mouse model of pancreatic islet cancer to colony-stimulating factor-1 (CSF-1)-deficient Csf1(op/op) mice, which have reduced numbers of tissue macrophages. Csf1(op/op) RT2 mice had a substantial reduction in cumulative tumor burden, which interestingly resulted from a significant decrease in angiogenic switching and tumor number, rather than an evident effect on tumor growth. In the tumors that did develop in CSF-1-deficient animals, however, there were no significant differences in tumor cell proliferation, apoptosis, angiogenesis or invasion. CSF-1 deficiency decreased macrophage infiltration by approximately 50% during all stages of RT2 tumor progression. Interestingly, several cytokines were upregulated in CSF-1-deficient RT2 tumors, and neutrophil infiltration was increased. These results show that macrophages are important for promoting PNET development and suggest that additional factors contribute to the recruitment and survival of myeloid cells in RT2 tumors in the absence of CSF-1.

Expression of organic anion-transporting polypeptides 1B3, 1B1, and 1A2 in human pancreatic cancer reveals a new class of potential therapeutic targets

Background:

Organic anion-transporting polypeptides (OATPs) are influx transporters that mediate intracellular uptake of selective endogenous and xenobiotic compounds. Identification of new molecular targets and discovery of novel targeted therapies is top priority for pancreatic cancer, which lacks any effective therapy.

Materials and methods:

We studied expression of OATP 1A2, 1B1, and 1B3 in pancreatic cancer tissue and in cell lines. Formalin-fixed paraffin-embedded biopsy material of 12 human pancreatic cancers was immunohistochemically assessed for protein expression of the three studied influx transporters. Immunohistochemistry was evaluated by experienced pathologists and quantified by use of an automated image analysis system. BxPC-3 and MIA PaCa-2 pancreatic cancer cell lines were used to quantify transcripts of OATP 1B1 and 1B3.

Results:

OATP 1A2, 1B1, and 1B3 proteins were found ubiquitously expressed in all studied cases. Quantification performed by HistoQuest system revealed that mean intensity was 53 for 1A2, 45 for 1B1, and 167 for OATP 1B1/1B3 on a range scale 0–250 units. At mRNA level, 1B1 and 1B3 were overexpressed in both studied cancer cell lines but not in normal pancreatic tissue.

Conclusion:

OATPs 1A2, 1B1, and 1B3 are highly expressed in pancreatic adenocarcinoma. We suggest that expression of these transporters in pancreatic cancer justify research efforts towards discovery of novel therapeutics targeting OATPs.

Aberrant expression of CD30 in neoplastic mast cells in high-grade mastocytosis

Systemic mastocytosis either presents as aggressive neoplasm with short survival time or indolent systemic mastocytosis with normal life expectancy. In both instances, neoplastic mast cells usually harbor the D816V-mutated variant of KIT. Phenotypically, mast cells in systemic mastocytosis usually express CD25. However, no robust marker that discriminates between aggressive and indolent variants of systemic mastocytosis has been identified yet. We here report that CD30, also known as Ki-1 antigen, is expressed in neoplastic mast cells in a majority of patients with advanced systemic mastocytosis (11/13, 85%), whereas in most patients with indolent systemic mastocytosis (12/45, 27%; P<0.001), only a few if any mast cells stained positive for CD30. These results could be confirmed by TissueFAXS analysis in subsets of patients with indolent systemic mastocytosis (n=7) and advanced systemic mastocytosis (n=4; P=0.008). The mast cell leukemia cell line HMC-1, derived from a patient with aggressive systemic mastocytosis also expressed the CD30 protein. In addition, we were able to detect CD30 mRNA in HMC-1 cells as well as in bone marrow biopsy samples in patients with systemic mastocytosis. In contrast, CD30 transcripts could not be detected in bone marrow biopsies in cases of reactive mast cell hyperplasia and in various other myeloid neoplasms. In conclusion, CD30 is preferentially expressed in neoplastic mast cells in advanced mast cell neoplasms. Upregulated expression of CD30 in advanced systemic mastocytosis may thus be employed as a potential marker for grading systemic mastocytosis in hematopathology.

IL-4 induces cathepsin protease activity in tumor-associated macrophages to promote cancer growth and invasion

Innate immune cells can constitute a substantial proportion of the cells within the tumor microenvironment and have been associated with tumor malignancy in patients and animal models of cancer; however, the mechanisms by which they modulate cancer progression are incompletely understood. Here, we show that high levels of cathepsin protease activity are induced in the majority of macrophages in the microenvironment of pancreatic islet cancers, mammary tumors, and lung metastases during malignant progression. We further show that tumor-associated macrophage (TAM)-supplied cathepsins B and S are critical for promoting pancreatic tumor growth, angiogenesis, and invasion in vivo, and markedly enhance the invasiveness of cancer cells in culture. Finally, we demonstrate that interleukin-4 (IL-4) is responsible for inducing cathepsin activity in macrophages in vitro and in vivo. Together, these data establish IL-4 as an important regulator, and cathepsin proteases as critical mediators, of the cancer-promoting functions of TAMs.

Applying an adaptive watershed to the tissue cell quantification during T-cell migration and embryonic development

Cell and particle quantification is one of the frequently used techniques in biology and clinical study. Variations of cell/particle population and/or protein expression level can provide information on many biological processes. In this chapter, we propose an image-based automatic quantification approach that can be applied to images from both fluorescence and electron microscopy. The algorithm uses local maxima to identify labelling targets and uses watershed segmentation to define their boundaries. The method is able to provide information on size, intensity centroids and average intensity within the labelling partitions. Further developed from this method, we demonstrated its applications in four different research projects, including recruitment enumeration of circulating T cell in non-lymphoid tissues, cell clustering in the early development of the chick embryo, gold particle localization and clustering in electron microscopy, and registration/co-localization of transcription factors in neural tube development of early chick embryo. The advantages and limitations of the method are also discussed.

Coexpression of the melatonin receptor 1 and nestin in human breast cancer specimens

Activation of the G-protein-coupled receptor (GPCR) for melatonin (MT1) suppresses breast cancer cell growth in experimental models. To elucidate whether MT1 might play a role in cancer cells positive for the stem cell marker nestin, we assessed paired carcinomatous (Ca) and adjacent noncancerous (NCa) samples from 42 patients with primary breast cancer for MT1 and nestin by double immunofluorescence staining and quantitative image analysis with Tissue-Quest software. MT1 was located in luminal and myoepithelial cells in milk ducts and in tumor cells in 40/42 and 39/42 of NCa and Ca specimens, respectively, independent of hormone receptor and HER-2 status. Nestin was located together with MT1 in myoepithelial cells in 38 NCa specimens (total n = 42) and in 18 Ca specimens with intact milk ducts. Quantitative evaluation of selected 16 NCa and Ca samples revealed that MT1 levels were higher in invasive Ca sections than in NCa specimens in eight and lower in six cases. Specimens from higher tumor stages (TII/III) with a higher risk of relapse were associated with MT1/nestin co-staining in more than 10% of tumor cells, whereas a lack of co-staining correlated with lower tumor stages. Abundant expression of MT1 and, particularly, coexpression of MT1 with nestin in invading tumor cells in more advanced tumors suggest an important role for this GPCR in the pathogenesis of breast cancer.

Monocytes/macrophages in kidney allograft intimal arteritis: no association with markers of humoral rejection or with inferior outcome

BACKGROUND

Several studies indicate that interstitial and intracapillary monocytes/macrophages (MO) represent a significant proportion of graft-infiltrating cells in renal allografts and that their presence may unfavourably affect clinical outcome. Much less is known about the role of MO in vascular rejection of transplanted kidneys. The aim of our study was to determine the cellular composition of immune cell infiltrates in intimal arteritis and to analyse whether it is associated with features of humoral immunity and impaired graft survival.

METHODS

In 34 recipients with vascular rejection, we determined the proportion of intimal and interstitial MO and T-cells (expressed as ratio of CD68- and CD3-positive cells) in immunohistochemically double-labelled slides.

RESULTS

Intimal arteritis is always composed of T-cells and MO with a median CD68/CD3 ratio of 1.03. In 47% of cases, however, T-cells predominate (CD68/CD3 ratio <1). The median interstitial CD68/CD3 ratio is 0.61, with T-cells dominating in 64% of cases. There is no correlation between the cellular composition of arterial and interstitial infiltrates. The proportion of interstitial and arterial MO has no impact on graft survival, and is, in contrast to previous reports on MO in allograft glomerulitis and capillaritis, not associated with C4d staining.

CONCLUSIONS

Intimal arteritis in kidney allograft rejection is composed of a mixed infiltrate of MO and T-lymphocytes. In contrast to MO in PTCitis and glomerulitis, the MO in intimal arteritis are not associated with markers of humoral immune response and there are no different allograft outcomes between MO and T-lymphocyte-dominated groups.

Regulatory T cells are key cerebroprotective immunomodulators in acute experimental stroke

Systemic and local inflammatory processes have a key, mainly detrimental role in the pathophysiology of ischemic stroke. Currently, little is known about endogenous counterregulatory immune mechanisms. We examined the role of the key immunomodulators CD4(+)CD25(+) forkhead box P3 (Foxp3)(+) regulatory T lymphocytes (T(reg) cells), after experimental brain ischemia. Depletion of T(reg) cells profoundly increased delayed brain damage and deteriorated functional outcome. Absence of T(reg) cells augmented postischemic activation of resident and invading inflammatory cells including microglia and T cells, the main sources of deleterious cerebral tumor necrosis factor-alpha (TNF-alpha) and interferon-gamma (IFN-gamma), respectively. Early antagonization of TNF-alpha and delayed neutralization of IFN-gamma prevented infarct growth in T(reg) cell-depleted mice. Intracerebral interleukin-10 (IL-10) substitution abrogated the cytokine overexpression after T(reg) cell depletion and prevented secondary infarct growth, whereas transfer of IL-10-deficient T(reg) cells in an adoptive transfer model was ineffective. In conclusion, T(reg) cells are major cerebroprotective modulators of postischemic inflammatory brain damage targeting multiple inflammatory pathways. IL-10 signaling is essential for their immunomodulatory effect.

Three-dimensional tissue cytometer based on high-speed multiphoton microscopy

Image cytometry technology has been extended to 3D based on high-speed multiphoton microscopy. This technique allows in situ study of tissue specimens preserving important cell-cell and cell-extracellular matrix interactions. The imaging system was based on high-speed multiphoton microscopy (HSMPM) for 3D deep tissue imaging with minimal photodamage. Using appropriate fluorescent labels and a specimen translation stage, we could quantify cellular and biochemical states of tissues in a high throughput manner. This approach could assay tissue structures with subcellular resolution down to a few hundred micrometers deep. Its throughput could be quantified by the rate of volume imaging: 1.45 mm(3)/h with high resolution. For a tissue containing tightly packed, stratified cellular layers, this rate corresponded to sampling about 200 cells/s. We characterized the performance of 3D tissue cytometer by quantifying rare cell populations in 2D and 3D specimens in vitro. The measured population ratios, which were obtained by image analysis, agreed well with the expected ratios down to the ratio of 1/10(5). This technology was also applied to the detection of rare skin structures based on endogenous fluorophores. Sebaceous glands and a cell cluster at the base of a hair follicle were identified. Finally, the 3D tissue cytometer was applied to detect rare cells that had undergone homologous mitotic recombination in a novel transgenic mouse model, where recombination events could result in the expression of enhanced yellow fluorescent protein in the cells. 3D tissue cytometry based on HSMPM demonstrated its screening capability with high sensitivity and showed the possibility of studying cellular and biochemical states in tissues in situ. This technique will significantly expand the scope of cytometric studies to the biomedical problems where spatial and chemical relationships between cells and their tissue environments are important.

Cytomics - importance of multimodal analysis of cell function and proliferation in oncology

Cancer is a highly complex and heterogeneous disease involving a succession of genetic changes (frequently caused or accompanied by exogenous trauma), and resulting in a molecular phenotype that in turn results in a malignant specification. The development of malignancy has been described as a multistep process involving self-sufficiency in growth signals, insensitivity to antigrowth signals, evasion of apoptosis, limitless replicative potential, sustained angiogenesis, and finally tissue invasion and metastasis. The quantitative analysis of networking molecules within the cells might be applied to understand native-state tissue signalling biology, complex drug actions and dysfunctional signalling in transformed cells, that is, in cancer cells. High-content and high-throughput single-cell analysis can lead to systems biology and cytomics. The application of cytomics in cancer research and diagnostics is very broad, ranging from the better understanding of the tumour cell biology to the identification of residual tumour cells after treatment, to drug discovery. The ultimate goal is to pinpoint in detail these processes on the molecular, cellular and tissue level. A comprehensive knowledge of these will require tissue analysis, which is multiplex and functional; thus, vast amounts of data are being collected from current genomic and proteomic platforms for integration and interpretation as well as for new varieties of updated cytomics technology. This overview will briefly highlight the most important aspects of this continuously developing field.

Slide-based cytometry for cytomics--a minireview

In the postgenomic era, to gain the most detailed quantitative data from biological specimens has become increasingly important in the emerging new fields of high-content and high-throughput single-cell analysis for systems biology and cytomics. Areas of research and diagnosis with the demand to virtually measure "anything" in the cell include immunophenotyping, rare cell detection and characterization in the case of stem cells and residual tumor cells, tissue analysis, and drug discovery. Systemic analysis is also a prerequisite for predictive medicine by genomics, proteomics, and cytomics. This issue of Cytometry Part A is dedicated to innovative concepts of system wide single cells analysis and manipulation, new technologies, data analysis and display, and, finally, quality assessment. The manuscripts to these chapters are provided by cutting edge experts in the fields. This overview will briefly highlight the most important aspects of this continuously developing field.

Cytomics as a new potential for drug discovery

At the single-cell level in conjunction with data-pattern analysis, high-content screening by image analysis or flow cytometry of clinical cell- or tissue-section samples provides differential molecular profiles for the personalized prediction of therapy-dependent disease progression in patients. The molecular reverse-engineering of these molecular profiles, which is the exploration of molecular pathways, backwards, to the origin of the observed molecular differentials, by systems biology has the potential to detect new drug targets in knowledge spaces, typically inaccessible to traditional hypotheses. Furthermore, predictive medicine, by cytomics in stratified patient groups, opens a new way for personalized (or individualized) medicine, as well as for the early detection of adverse drug reactions in patients.

Focus-drift correction in time-lapse confocal imaging

In long-term time-lapse imaging of living cells, where recording takes several minutes or longer, a drift of focus may be significant. Focus-drift is due to the slippage in the microscope focus mechanism and/or the thermal gradients in the microscope. Software and hardware solutions may be introduced to correct for the focus-drift. Some autofocus techniques measure position of the specimen by sensing the light or sound reflected from a well-defined surface, such as the microscope slide. An autofocusing approach, where a focus measure is computed for images acquired at different objective positions is less appropriate in confocal microscopy, since more than one section is in focus. To correct for the focal-drift in long-term time-lapse confocal imaging, we acquired an image stack of the specimen periodically. The software calculated Pearson's correlation coefficient between each image in the z-stack and the reference image in the stack, which was selected at the beginning of the experiment. The maximal correlation coefficient of pixel intensities was taken to identify the image, which corresponded to the focal plane of the reference image. To test our approach, we used confocal images of living rat lactotroph cells, which discharged preloaded green fluorescent probe from a single secretory granule. Simultaneously, an extracellularly applied FM 4-64 red fluorescent probe loaded the discharging vesicle and the plasma membrane. We show that our approach is appropriate to correct for focal-drift in long term time-lapse imaging and analysis of living cells.

An improved method for discrimination of cell populations in tissue sections using microscopy-based multicolor tissue cytometry

BACKGROUND

In tissue context, researchers and pathologists lack a generally applicable standard for quantitative determination of cytological parameters. Increasing knowledge of disease-specific markers calls for an appropriate in situ tissue cytometry.

METHODS

Microscopy-based multicolor tissue cytometry (MMTC) permits multicolor analysis of single cells within tissue context.

RESULTS

Tissue specimens stained for CD45/CD3/CD4/CD8 were analyzed. Specificity as well as reproducibility of MMTC is demonstrated and a novel MMTC-based function to improve visual discrimination of subpopulations is introduced.

CONCLUSIONS

Our data demonstrate that MMTC constitutes an important step toward automated and quantitative fluorometry of solid tissues and cell monolayers.

Hyperchromatic cytometry principles for cytomics using slide based cytometry

BACKGROUND

Polychromatic analysis of biological specimens has become increasingly important because of the emerging new fields of high-content and high-throughput single cell analysis for systems biology and cytomics. Combining different technologies and staining methods, multicolor analysis can be pushed forward to measure anything stainable in a cell. We term this approach hyperchromatic cytometry and present different components suitable for achieving this task. For cell analysis, slide based cytometry (SBC) technologies are ideal as, unlike flow cytometry, they are non-consumptive, i.e. the analyzed sample is fixed on the slide and can be reanalyzed following restaining of the object.

METHODS AND RESULTS

We demonstrate various approaches for hyperchromatic analysis on a SBC instrument, the Laser Scanning Cytometer. The different components demonstrated here include (1) polychromatic cytometry (staining of the specimen with eight or more different fluorochromes simultaneously), (2) iterative restaining (using the same fluorochrome for restaining and subsequent reanalysis), (3) differential photobleaching (differentiating fluorochromes by their different photostability), (4) photoactivation (activating fluorescent nanoparticles or photocaged dyes), and (5) photodestruction (destruction of FRET dyes). Based on the ability to relocate cells that are immobilized on a microscope slide with a precision of approximately 1 microm, identical cells can be reanalyzed on the single cell level after manipulation steps.

CONCLUSION

With the intelligent combination of several different techniques, the hyperchromatic cytometry approach allows to quantify and analyze all components of relevance on the single cell level. The information gained per specimen is only limited by the number of available antibodies and sterical hindrance.

Object-oriented image analysis for high content screening: Detailed quantification of cells and sub cellular structures with the Cellenger software

BACKGROUND

Detailed image analysis still is a considerable bottleneck for many cellular assays, and automated solutions to the problem are desirable. However, dealing with the complexity and variability of structures in cellular images makes detailed and reliable analysis a nontrivial task.

METHODS

Therefore, based on the object-oriented image analysis approach, a novel image analysis technology, a flexible and reliable system for image analysis in cellular assays was developed. It contains a library of predefined, adaptable modules, each of them developed for a specific analysis task. The system can be configured easily by combining appropriate modules and adapting them interactively to the specific image data, if necessary. By representing cells and sub cellular structures within a network of interlinked image objects, a large number of parameters can be derived that describe shape, intensity, and relevant structural and relational aspects of any chosen class of structures.

RESULTS

Thus, multi-parameter analysis and multiplexing are supported. A sample application based on this approach demonstrates that GFP signals can be distinguished based on their properties and the relative location within the cell.

Autocrine IL-10 partially prevents differentiation of neonatal dendritic epidermal leukocytes into Langerhans cells

To test whether reduced immune responsiveness in early life may be related to the immaturity of neonatal antigen-presenting cells, we comparatively assessed the phenotypic and functional characteristics of dendritic epidermal leukocytes (DEL) and epidermal Langerhans cells (LC) in newborn (NB) and adult mice, respectively. We report that purified, 3-day-cultured DEL do not acquire the morphology and phenotype typical of LC and are significantly weaker stimulators of naive, allogeneic CD4+ and CD8+ T cells than LC. Freshly isolated DEL are twice as efficient as LC in the uptake of fluorescein isothiocyanate-conjugated tracers but are not able to present these to antigen-specific T cell hybridomas. To clarify the underlying cause, cytokine expression of NB and adult epidermal cells (EC) was examined. We found that DEL express considerable amounts of interleukin (IL)-10, that IL-10 in NB EC supernatants partially inhibits LC maturation, and that DEL-enriched EC from IL-10-/- mice induce stronger primary T cell responses compared with those from IL-10+/+ mice. We conclude that IL-10 is one of the factors preventing maturation and differentiation of DEL into immunocompetent LC in intrauterine life and is at least partly responsible for the poor immune responsiveness of neonates.

Quantitative histology by multicolor slide-based cytometry

BACKGROUND

In lymphatic organs, the quantitative analysis of the spatial distribution of leukocytes by tissue cytometry would give relevant information about alterations during diseases (leukemia, HIV, AIDS) and their therapeutic regimen, as well as in experimental settings.

METHODS

We have developed a semiautomated analysis method for laser scanning cytometry (LSC) termed "multiple thresholding," which is suitable for archived or fresh biopsy material of human lymph nodes and tonsils. Sections are stained with PI for nuclear DNA and up to four antigens using direct or indirect immunofluorescence staining. Measurement is triggered on DNA-fluorescence (argon laser, Ar) or on specific cell labeling. Due to the heterogeneity of cell density, measurements are performed repeatedly at different threshold levels (low threshold: regions of low cellular density, germinal center; high threshold: dense regions, mantle zone). Data are acquired by single- (Ar) or dual-laser excitation (Ar-HeNe) in order to analyze single- (FITC) up to four-color (FITC/PE/PECy5/APC) stained specimen.

RESULTS

Percentage and cellular density of cell-subsets is quantified in different microanatomical regions of the specimen. These data were highly correlated with manual scoring of identical specimens (r(2) = 0.96, P < 0.0001). With LSC, semiautomated operator-independent immunophenotyping in tissue sections of lymphatic organs with up to three antibodies simultaneously is possible.

CONCLUSIONS

We expect this tissue cytometric approach to yield new insight into processes during diseases and help to quantify the success of therapeutic interventions.

Over-expression of anti-CD75 reactive proteins on distal and collecting renal tubular epithelial cells in calcium-oxalate stone-forming kidneys in Egypt

OBJECTIVE

To assess the nature, distribution and expression pattern of CD75, a neuraminidase-sensitive lymphocyte cell surface differentiation antigen, in calcium oxalate (CaOx) stone disease, as cell-surface sialic acid might be involved CaOx crystal binding, and lectin-binding assays suggest that sialic acid in the alpha2,6 position is upregulated in stone-forming kidneys.

MATERIALS AND METHODS

Human CaOx stone-forming and normal kidneys (13 each) and primary kidney epithelial cells (CAKI-1, three samples) were analysed. The protein pattern, distribution and expression of CD75 were analysed using Western blotting, immunohistology and semi-quantitative confocal laser scanning microscopy (cLSM). Production was investigated by alpha2,6-sialyltransferase specific reverse transcription-polymerase chain reaction.

RESULTS

Western blotting showed one strong band at approximately 43 kDa that reacted with anti-CD75 when renal epithelial and CAKI-1 tumour cell extracts were analysed. However, in renal tissue extracts of CaOx stone formers there were additional bands at 120 and 205 kDa. Image processing after cLSM showed that anti-CD75 reactivity was significantly greater on E-cadherin-positive distal and collecting tubular cells from CaOx stone-forming kidneys, at a mean (sd) intensity of 87 (7), than on those from normal kidneys, at 41 (5) (P = 0.005).

CONCLUSION

CD75 expression in human kidney was primarily on the luminal surface of distal tubules and collecting ducts. Whether increased epithelial CD75 expression in CaOx stone disease is a cause or result of the disease remains to be clarified.

Corticosteroids But Not Pimecrolimus Affect Viability, Maturation and Immune Function of Murine Epidermal Langerhans Cells

Given the importance of dendritic cells in the immune response, we investigated the effect of corticosteroids (CS) on the integrity, survival, and function of murine Langerhans cells (LC) in comparison with pimecrolimus, a novel anti-inflammatory drug for the topical treatment of atopic dermatitis. BALB/c mice were treated twice on one day with ethanolic solutions of the compounds. At 24-72 h after the last application, we observed fragmented DNA, caspase-3 activity, and an upregulation of CD95 expression in LC from mice treated with CS but not in LC of pimecrolimus- or vehicle-treated animals. CS-epidermal cell (EC) supernatants but not pimecrolimus-EC supernatants contained significantly lower amounts of soluble factors (GM-CSF, TNF-alpha, IL-1alpha) required for LC survival and maturation than EC supernatants from vehicle-treated mice. With regard to LC maturation, CS but not pimecrolimus inhibited the expression of CD25, CD205, and costimulatory molecules. In line with this, LC from pimecrolimus-treated mice were similar to LC from vehicle-treated mice in their capacity to stimulate antigen-presenting function and migration, whereas LC from CS-treated mice were greatly impaired in these abilities. In summary, our data show for the first time that CS but not pimecrolimus induce apoptosis in LC in situ, implying that the prolonged use of CS could have adverse effects on the skin immune system.

Inhibition of restenosis by tissue factor pathway inhibitor: in vivo and in vitro evidence for suppressed monocyte chemoattraction and reduced gelatinolytic activity

Activation of inflammatory and procoagulant mechanisms is thought to contribute significantly to the initiation of restenosis, a common complication after balloon angioplasty of obstructed arteries. During this process, expression of tissue factor (TF) represents one of the major physiologic triggers of coagulation that results in thrombus formation and the generation of additional signals leading to vascular smooth muscle cell (VSMC) proliferation and migration. In this study, we have investigated the mechanisms by which inhibition of coagulation at an early stage through overexpression of tissue factor pathway inhibitor (TFPI), an endogenous inhibitor of TF, might reduce restenosis. In a rabbit femoral artery model, percutaneous delivery of TFPI using a recombinant adenoviral vector resulted in a significant reduction of the intimamedia ratio 21 days after injury. Investigating several markers of inflammation and coagulation, we found reduced neointimal expression of monocyte chemoattractant protein-1 (MCP-1), lesional monocyte infiltration, and expression of vascular TF, matrix metalloproteinase-2 (MMP-2), and MMP-9. Moreover, overexpression of TFPI suppressed the autocrine release of platelet-derived growth factor BB (PDGF-BB), MCP-1, and MMP-2 in response to factors VIIa and Xa from VSMCs in vitro and inhibited monocyte TF activity. These results suggest that TFPI exerts its action in vivo through not only thrombotic, but also nonthrombotic mechanisms.

Application of spectral imaging microscopy in cytomics and fluorescence resonance energy transfer (FRET) analysis

BACKGROUND

Specific signal detection has been a fundamental issue in fluorescence microscopy. In the context of tissue samples, this problem has been even more pronounced, with respect to spectral overlap and autofluorescence.

METHODS

Recent improvements in confocal laser scanning microscopy combine sophisticated hardware to obtain fluorescence emission spectra on a single-pixel basis and a mathematical procedure called "linear unmixing" of fluorescence signals. By improving both the specificity of fluorescence acquisition and the number of simultaneously detectable fluorochromes, this technique of spectral imaging (SI) allows complex interrelations in cells and tissues to be addressed.

RESULTS

In a comparative approach, SI microscopy on a quantitative basis was compared to conventional bandpass (BP) filter detection, demonstrating substantial superiority of SI with respect to detection accuracy and dye combination. An eight-color immunofluorescence protocol for tissue sections was successfully established. Moreover, advanced use of SI in fluorescence resonance energy transfer (FRET) applications using enhanced green fluorescence protein (EGFP) and enhanced yellow fluorescence protein (EYFP) in a confocal set up could be demonstrated.

CONCLUSIONS

This novel technology will help to perform complex multiparameter investigations at the cellular level by increasing the detection specificity and permitting simultaneous use of more fluorochromes than with classical techniques based on emission filters. Moreover, SI significantly extends the possibilities for specialized microscopy applications, such as the visualization of macromolecular interactions or conformational changes, by detecting FRET.

Microscopy-based multicolor tissue cytometry at the single-cell level

Cytomics is a novel perspective from which to look at life. As with genomics and proteomics before, this discipline requires novel and innovative techniques and technologies to focus on its substrate of research--the cytome. With cytomics being the discipline that analyzes cellular systems and their interdependencies, advanced microscopy represents a key technology in cytomics research. Yet, conventional microscopy-based investigations, i.e., "look and conclude" analyses, do not meet the major cytomics criteria of 1) relating multiple parameters to each other, 2) within large populations of cells, 3) on a single-cell basis, and 4) in a quantitative and observer-independent manner. However, emerging improvements in the fields of fluorophore technology, sensitive fluorescence detection devices, and sophisticated image analysis procedures, are important and necessary steps into the cytomics era. Tissue represents an important class of cytomes, hence tissue cytometry--on the single cell level--can be expected to become an important cytomics technology. In this report, the techniques and technologies of microscopy-based multicolor tissue cytometry (MMTC) are outlined and applications are discussed, including the phenotypic characterization of tissue infiltrating leukocytes, in situ quantification of proliferation markers and tumor suppressors, and in situ quantification of apoptosis.

Comparison of flow cytometry and image morphometry in the quantitative analysis of cell population markers in the lymph node of sheep

Two approaches to the quantitative analysis of cell population markers in tissues are flow cytometry and image morphometry. To compare these methods, sheep lymph nodes were collected and analysed for CD8+ and CD21+ cell populations, which were selected to represent dispersed and concentrated cell populations, respectively. These two populations were measured as a percentage of total cell count (flow) or total tissue area (morphometry). The two populations were also measured as a percentage of respective base populations (CD2+ cells for CD8 and MHC II+ cells for CD21). A simple linear regression analysis showed that when the cell populations were assessed as a percentage of total cell count or total area, measurements obtained with flow and morphometry only correlated significantly with the dispersed CD8+ population and not with the highly concentrated CD21+ population. However, when the cell populations were assessed as a percentage of their base population, measurements obtained with flow and morphometry showed a significant correlation for both the dispersed and concentrated cell populations. This study demonstrates that measurements of lymph node cell populations obtained with the two methods are comparable, but that tissue distribution of cell populations should be considered, when the unit of measurement is chosen.

A computerized image analysis system for quantitative analysis of cells in histological brain sections

We propose a reliable method for automatic counting of cells in brain sections labeled with different antibodies (against NeuN, parvalbumin, GABA and c-Fos) and in Nissl-staining. Images of stained sections are converted to binary images by thresholding. Clusters of 'ON pixels' (value of 1) corresponding to cell bodies are selected based on size. The parameters of the algorithm (intensity range and cluster-size) are adjusted for different methods of staining according to expert knowledge. The automatic cell counting method (ACCM) provides correct counting results, as demonstrated by a comparison of computational results with counts gained by human experimenters and with a commercially available image analysis system. On the basis of ACCM counts, small and perhaps physiologically relevant differences in the number of labeled cells can be revealed, as demonstrated here for the GABAergic system following electrical stimulation.

Cell-surface matrix proteins and sialic acids in cell-crystal adhesion; the effect of crystal binding on the viability of human CAKI-1 renal epithelial cells

OBJECTIVE

To investigate the role of sialic acids and cellular matrix proteins as crystal-binding molecules in human calcium-oxalate nephrolithiasis.

MATERIALS AND METHODS

The well-defined human renal cancer cell line CAKI-1 was used a standard cell culture system. After enzymatic digestion of various cell surface molecules, the binding of alpha2,6 (Sambucus nigra, SN-) and alpha2,3 (Maackia amurensis, MA)-specific lectins to CAKI-1 cells was analysed. Simultaneously, the effect on adhesion and release of calcium oxalate monohydrate crystals was investigated (eight replicates). The effect of crystal adhesion on cell viability was assessed using Trypan blue exclusion (five replicates).

RESULTS

Neuraminidase decreased MA-lectin binding of CAKI-1 cells by 39% (P < 0.05) but elevated SN-lectin binding by 812% (P < 0.05). Simultaneously, crystal binding to CAKI-1 cells was increased by 28% (P > 0.05). Pretreatment with collagenase type I, trypsin and dispase II reduced crystal-binding by 61-74% (P < 0.05) with no effect on sialic acid-specific lectin-binding. However, only collagenase type I and dispase (ratio 4 : 1) were also able to release crystals from their receptor-binding sites (P < 0.05). An increase in the number of cell surface-bound crystals correlated significantly with a decrease in cell viability (P < 0.05).

CONCLUSIONS

alpha2,3-linked sialic acids protect cells from crystal-binding. Much greater SN-lectin binding associated with only moderately increased crystal binding argues against alpha2,6-linked sialic acids as a main target structure of crystals. In contrast, collagen type I, type IV and/or fibronectin seem to be potent crystal-binding molecules on human renal epithelial cells, with collagen type I involved in a potential second step of crystal-cell interaction.

Fluorescence resonance energy transfer in the study of cancer pathways

Many different signaling pathways are involved in deregulation of cell proliferation leading to cancer. Although genomic approaches successfully identified a great variety of molecules associated with cancerogenesis, other strategies must be applied to elucidate complex interactions between these molecules. One promising approach is fluorescence resonance energy transfer, a proximity-dependent fluorescence phenomenon. With the development of spectrally different fluorescent proteins and improved technologies for fluorescence measurements, this approach gains an enormous potential for future research. The fluorescence resonance energy transfer principle can be applied for studying all kinds of interactions or conformational changes, and it can also be used for microscopic visualization and subcellular localization of biochemical reactions, thereby promoting the progress of cancer research. Moreover, it can be exploited to develop sensitive and efficient drug screening systems and to design valuable diagnostic tools.

Near-infrared dyes for six-color immunophenotyping by laser scanning cytometry

BACKGROUND

To adequately analyze the complexity of the immune system and reduce the required sample volume for immunophenotyping in general, more measurable colors for the discrimination of leukocyte subsets are necessary. Immunophenotyping by the laser scanning cytometer (LSC), a slide-based cytometric technology, combines cell detection based on multiple colors with their subsequent visualization without the need for physical cell sorting. In the present study, the filter setting of the LSC was adapted for the measurement of the far-red emitting dye cyanine 7 (Cy7), thereby increasing the number of measurable commercially available fluorochromes.

METHODS

The optical filters of the LSC were replaced-photomultiplier (PMT) 3/allophycocyanin (APC): 740-nm dichroic long pass, and 670-/55-nm bandpass; PMT 4/Cy7: 810-/90-nm bandpass. Peripheral blood leukocytes were stained directly by fluorochrome-labeled antibodies or by indirect staining. The tandem dyes of Cy7 (phycoerythrin [PE]-Cy7, APC-Cy7) and the fluorochromes fluorescein isothiocyanate (FITC), PE, PE-Cy5, and APC were tested alone and in different combinations.

RESULTS

With the new filter combination and tandem fluorochromes, Cy7 was measurable at 488-nm (argon laser) or 633-nm (helium-neon laser) excitation. Resolution was in the range of FITC for PE-Cy7 but approximately 30% lower for APC-Cy7; spillover into the respective donor fluorochrome channel for both tandem dyes was prominent. A six-color panel for leukocyte subtyping was designed.

CONCLUSIONS

With this adaptation, it is possible to measure the tandem conjugates PE-Cy7 and APC-Cy7. This new setup opens the way for six-color immunophenotyping by LSC.

Clinical applications of laser scanning cytometry

This study reviews existing and potential clinical applications of laser scanning cytometry (LSC) and outlines possible future developments. LSC provides a technology for solid phase cytometry. Fluorochrome-labeled specimens are immobilized on microscopic slides that are placed on a conventional epifluorescence microscope and analyzed by one or two lasers. Data comparable to flow cytometry are generated. In addition, the position of each event is recorded, a feature that allows relocalization and visualization of each measured event. The major advantage of LSC compared with other cytometric methods is the combination of two features: (a) the minimal clinical sample volume needed and (b) the connection of fluorescence data and morphological information for the measured event. Since the introduction of LSC, numerous methods have been established for the analysis of cells, cellular compartments, and tissues. Although most cytometric methods use only two or three colors, the characterization of specimens with up to five fluorochromes is possible. Most clinical applications have been designed to determine ploidy and immunophenotype; other applications include analyses of tissue biopsies and sections, fluorescence in situ hybridization, and the combination of vital and nonvital information on a single-cell basis. With the currently available assays, LSC has proven its wide spectrum of clinical applicability in slide-based cytometry and can be introduced as a standard technology in multiple clinical settings.

A standard for calibration and shading correction of a fluorescence microscope

BACKGROUND

Numerous applications of fluorescence microscopy require quantitation of signal intensity in reproducible units. Two problems must be overcome to achieve this goal. First, due to various instrumental factors, the same sample imaged on two microscopes or even on the same microscope at different times may produce highly divergent readings. Second, because of shading, some areas within the same field may appear brighter than others despite the same amount of fluorophore. The first type of variability requires calibration using a sample of reproducible fluorescence yield; to correct for shading, a uniform fluorescent field is needed.

METHODS

Standard slides were prepared by placing several microliters of 10%-50% w/v fluorescein or rhodamine between a coverglass and a slide. They were used to perform shading correction and normalization under a variety of imaging conditions.

RESULTS

Concentrated fluorophores produced a uniform fluorescent field of moderate and reproducible brightness. By expressing the staining of a biological object in the units of standard slides, identical results were obtained irrespective of the imaging conditions or the microscope used. We compared shading correction based on concentrated fluorescein with two other standards. Concentrated fluorescein resulted in the best equalization of the field.

CONCLUSIONS

Standardization of fluorescent images can be achieved by normalizing them to the image of a concentrated solution of a fluorophore. Due to its simplicity and efficiency, this method can be used in clinical analysis as well as in routine laboratory practice.