Real-time PCR-based method for the estimation of genome sizes

The fast and reliable estimation of the genome sizes of various species would allow for a systematic analysis of many organisms and could reveal insights into evolutionary processes. Many methods for the estimation of genome sizes have already been described. The classical methods are based on the determination of the phosphate content in the DNA backbone of total DNA isolated from a defined number of cells or on reassociation kinetics of high molecular weight genomic DNA (c(0)t assay). More recent techniques employ DNA-specific fluorescent dyes in flow cytometry analysis, image analysis or absorption cytometry after Feulgen staining. The method presented here is based on the absolute quantification of genetic elements in a known amount (mass) of genomic DNA by real-time quantitative PCR. The method was evaluated on three different eukaryotic species, Saccharomyces cerevisiae (12.1 Mb), Xiphophorus maculatus (550 Mb) and Homo sapiens sapiens (2.9 Gb), and found to be fast, highly accurate and reliable.     

DNA quantification in colorectal carcinoma using flow and image analysis cytometry

Numerous studies using flow cytometry (FCM) have shown that DNA quantification and ploidy classification can provide information of prognostic significance for patients with colorectal carcinoma; recent advances in image analysis cytometry (image cytometry, ICM) provide a new, alternative technique for DNA quantification. This study investigated whether (1) patients with colorectal carcinomas that exhibit a diploid pattern of DNA distribution have improved five-year survival statistics as compared to their non-diploid counterparts and (2) ICM provides quantitative data comparable to that obtained by FCM. DNA quantification and ploidy classification of 27 cases of primary colorectal carcinoma was performed on archival paraffin-embedded tissue by both FCM and ICM; 70% (19) of the tumors were classified as nondiploid by ICM while 56% (15) were similarly classified by FCM. Diploid tumors were associated with Dukes' stage A while nondiploid tumors were associated with Dukes' stage D. The overall five-year survival rate was 75% for patients with ICM diploid tumors and 67% for patients with FCM diploid tumors. The five-year survival was only 53% for patients with nondiploid tumors identified by both techniques. This study confirmed that DNA quantification is an important prognostic indicator for patients with colorectal carcinoma. It also showed that ICM provides data comparable to that of FCM and may be more sensitive.     

DNA image cytometry. An alternative method in osteoblast proliferation assays

OBJECTIVE: To assess whether DNA image cytometry can be used as an alternative method to tritiated thymidine uptake quantification in osteoblast proliferation assays. STUD DESIGN: Proliferation of normal human osteoblasts incubated with normal human serum at 0%, 2.5%, 5%, 10%, 20% and 40% was quantified by tritiated thymidine uptake quantification and DNA image cytometry. RESULTS: Tritiated thymidine uptake quantification showed that normal human serum stimulated the proliferation of normal human osteoblasts and that the degree of stimulation was directly related to the concentration of serum in the culture medium. Similar results were obtained when the DNA image cytometry assay was used. A highly significant linear relationship between the ranks of both methods was found (Spearman's r = 1.00, P = .0253). CONCLUSION: DNA image cytometry may be a valuable alternative when the use of radioactive material is not desired and/or subsequent morphologic or immunocytochemical characterization of cells under study is required.     

High‐throughput cell quantification assays for use in cell purification development – enabling technologies for cell production

High‐throughput screening (HTS) technology is gaining increasing importance in downstream process development of cell‐based products. The development of such HTS‐technologies, however, is highly dependent on the availability of robust, accurate, and sensitive high‐throughput cell quantification methods. In this article, we compare state‐of‐the‐art cell quantification methods with focus on their applicability in HTS‐platforms for downstream processing of cell‐based products. Sensitivity, dynamic range, and precision were evaluated for four methods that differ in their respective mechanism. In addition, we evaluated the performance of these methods over a range of buffer compositions, medium densities, and viscosities, representing conditions found in many downstream processing methods. We found that CellTiter‐Glo? and flow cytometry are excellent tools for high‐throughput cell quantification. Both methods have broad working ranges (3–4 log) and performed well over a wide range of buffer compositions. In comparison, CyQuant® Direct and CellTracker? had smaller working ranges and were more sensitive to changes in buffer composition. For fast and sensitive quantification of a single cell type, CellTiter‐Glo? performed best, while for more complex cell mixtures flow cytometry is the method of choice. Our analysis will facilitate the selection of the most suitable method for a specific application and provides a benchmark for future HTS development in downstream processing of cell‐based products.     

Comparison between histopathology and DNA histogram of testis

From January to July 1989, the DNA histogram of testicular open biopsies was done for 11 patients of primary infertility and 7 patients of a control group. There were 2 failures in these 36 specimens. The flow cytometric analysis revealed characteristic patterns in the relative numbers of haploid (1C), diploid (2C), and tetraploid (4C) cells. In the presence of normal spermatogenesis, the haploid compartment contained the majority of cells, followed by the diploid, and then the tetraploid (1C greater than 2C greater than 4C). The other diagnostic criteria of flow cytometry were as follows: hypospermatogenesis (2C greater than 1C greater than 4C), the maturation arrest (2C greater than 4C greater than 1C), and Sertoli-cell-only syndrome (2C, near 100%). According to the aforementioned diagnostic criteria, the results of DNA histograms were compared with the histopathology diagnosed by junior or senior pathologists. These patterns of DNA histograms correlated with the diagnoses by senior pathologists in 28 of 34 specimens (82.6%), while there were only 20 of 36 pathologic diagnoses (55.6%) which matched between junior and senior pathologists. It is shown that abundant experience is needed for testis pathologists to diagnose accurately. The DNA histograms correlate well with pathological findings, with the advantages of quantification and fewer specimens needed. In conclusion, testicular tubular cell DNA histograms appear to be a reliable modality in the evaluation of spermatogenesis. They provide the quantitative information of sperm maturation and help in making appropriate decisions in the management of male infertility.     

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.     

The Feulgen reaction 75 years on

 The Feulgen reaction proposed by Feulgen and Rossenbeck 75 years ago is one of the cytohistochemical reactions most widely used in biology and medicine. It allows DNA in situ to be specifically stained based on the reaction of Schiff or Schiff-like reagents with aldehyde groups engendered in the deoxyribose molecules by HCl hydrolysis. The staining intensity is proportional to the DNA concentration. Current applications of the Feulgen reaction are mainly concerned with DNA quantification in cell nuclei by image cytometry for ploidy evaluation in tumor pathology. From the morphological point of view, specific demonstration of DNA in cell structures at the light microscopic level is very little used nowadays. On the other hand, application of the Feulgen principles to electron microscopy have recently allowed specific DNA-staining procedures to be developed for the study of the structural organization of DNA in situ. Accepted: 13 January 1999     

Three-dimensional DNA image cytometry by confocal scanning laser microscopy in thick tissue blocks.

A method for the quantification of nuclear DNA in thick tissue blocks by confocal scanning laser microscopy is presented. Tissues were stained en bloc for DNA by chromomycin A3. Three-dimensional images, 60 microns deep, were obtained by stacking up confocal fluorescent images obtained with an MRC-500 (Bio-Rad, Richmond, CA). The effects due to bleaching and attenuation by depth of fluorescence emission were corrected mathematically. The DNA contents were estimated by summing up the detected emission intensities (discretized into pixel gray levels) from each segmented nucleus. Applications to an adult rat liver and to a human in situ carcinoma of theesophagus are shown to demonstrate, respectively, the precision of the method and its potential usefulness in histopathology. Comparisons are made with DNA histograms obtained on the same materials by image cytometry on smears and by flow cytometry. Ploidy peaks obtained with the confocal method, although wider than with other methods, are well separated. Confocal image cytometry offers the invaluable advantage of preserving the tissue architecture and therefore allowing, for instance, the selection of histological regions and the evaluation of the degree of heterogeneity of a tumor.     

Clinical aspects for the use of DNA image cytometry in detection of bladder cancer: a valuable tool?

The employment of DNA flow or image cytometry for oncological diagnostic procedures is favored because of its high correlation to tumor biological behavior. Prognostic statements and therapeutic strategies therefore are based on the high validity of DNA cytometric measurements. Using 151 bladder washings from patients suspected of bladder cancer for this study, we examined the clinical value of various common methods of DNA single cell (SCI) and stemline interpretations (SLI). Comparing the specificity and sensitivity of DNA image cytometry in detection of bladder tumors, we found 81 and 52%, respectively, for SCI of Boecking, 84 and 45% for SLI of Boecking, 61 and 58% for SLI of Fu, and 82 and 40% for conventional stemline interpretation. To improve diagnostic and prognostic validity of DNA image cytometry, we designed our own method of interpretation. In consequence, we identified six single DNA parameters out of all recorded measurements that correlated most to histopathological grading (G1-G3). Creating reference values at random and rating by points, we used a cytometric grading system for ranking. In detection of bladder cancer specificity and sensitivity ultimately arrived at almost 70% in application of our method. Thus, by this study, we were able to show that sensitivity of DNA examination can be increased by combining various DNA parameters. Apart from our own scheme, the discrepancy in interpretation of DNA image cytometry does not allow us to recommend this procedure as the only diagnostic in detection of bladder cancer. However, in regard to prognostic statements, particularly tumor biological behavior, DNA image cytometry appears to be useful.     

Laser scanning cytometry for comet assay analysis

BACKGROUND: The comet assay (single-cell gel electrophoresis) is a sensitive method for evaluating nuclear DNA damage. Previously used evaluation methods for the comet assay are time consuming and have an inherent risk of biased selection of comets due to manual selection and categorization of comet images. Laser scanning cytometry (LSC), the principle of which is equivalent to flow cytometry, enables quantification of fluorescence emitted from the cells on a microscope slide. In the present study, we explored whether LSC could be used to determine the degree of DNA damage demonstrated by the comet assay. METHODS: DNA damage was induced by ultraviolet A irradiation of keratinocytes and visualized by the comet assay. The evaluation included (a) LSC determination of DNA-specific fluorescence in 1,000 comet heads (undamaged DNA), (b) image acquisition of comets by rescanning of the microscope slide, and (c) digital image analysis and computation of tail moment and DNA content in the comet tails. RESULTS: Cells with damaged DNA were observed in a sub-G(1) area because the comet head loses DNA to the tail. We found a strong inverse correlation between tail moment and DNA content per nucleus. CONCLUSIONS: LSC enables an automated method for cell recognition and evaluation of the comets, thus providing quantitative information about nuclear DNA damage without subjective selection of analyzed comets.     

Digital image analysis in pathology: benefits and obligation

Pathology has recently entered the era of personalized medicine. This brings new expectations for the accuracy and precision of tissue-based diagnosis, in particular, when quantification of histologic features and biomarker expression is required. While for many years traditional pathologic diagnosis has been regarded as ground truth, this concept is no longer sufficient in contemporary tissue-based biomarker research and clinical use. Another major change in pathology is brought by the advancement of virtual microscopy technology enabling digitization of microscopy slides and presenting new opportunities for digital image analysis. Computerized vision provides an immediate benefit of increased capacity (automation) and precision (reproducibility), but not necessarily the accuracy of the analysis. To achieve the benefit of accuracy, pathologists will have to assume an obligation of validation and quality assurance of the image analysis algorithms. Reference values are needed to measure and control the accuracy. Although pathologists' consensus values are commonly used to validate these tools, we argue that the ground truth can be best achieved by stereology methods, estimating the same variable as an algorithm is intended to do. Proper adoption of the new technology will require a new quantitative mentality in pathology. In order to see a complete and sharp picture of a disease, pathologists will need to learn to use both their analogue and digital eyes.     

Chromatin Texture Analysis in Living Cells

In recent years, there has been an increasing interest in applications of fluorescence measurements to studies on many physiological mechanisms in living cells. However, few studies have taken advantage of DNA quantification by fluorometry for dynamic assessment of chromatin organization. This type of approach involves both optimal conditions for DNA staining and the use of image cytometry. In this context, this report describes the application of an internal grey-level segmentation method for the assessment of real time modifications of chromatin organization in living cells. These developments are based on a specific, stoichiometric method for nuclear DNA content measurement. Preliminary data obtained from Hela cells suggests the possibility of following variations of nuclear texture (heterogeneity, granularity, condensation, radial distribution) related to the cell cycle progression of cells that are maintained alive.     

Biotechnology offers revolution to fish health management

Biotechnology has many applications in fish health management. The application of monoclonal antibodies (mAbs) provides a rapid means of pathogen identification; antibodies to immunoglobulins from different fish species can be used to monitor the host response following vaccination; and mAbs also have the potential for screening broodstock for previous exposure to pathogens. Luminex technology exemplifies a novel antibody-based method that can be applied to both pathogen detection and vaccine development. Molecular technologies, such as the polymerase chain reaction (PCR), real time PCR and nucleic acid sequence-based amplification (NASBA), have enabled detection, identification and quantification of extremely low levels of aquatic pathogens, and microarray technologies offer a new dimension to multiplex screening for pathogens and host response. Recombinant DNA technology permits large-scale, low-cost vaccine production, moreover DNA vaccination, proteomics, adjuvant design and oral vaccine delivery will undoubtedly foster the development of effective fish vaccines in the future.     

DNA quantification as a prognostic factor in colorectal adenocarcinoma

OBJECTIVE: To determine if DNA quantification, studied in cytologic samples obtained by fiberendoscopy, has predictive value in colorectal adenocarcinoma. STUDY DESIGN: Thirty patients with colorectal cancer diagnosed by cytology, endoscopy and microbiopsy, were selected. The study covered > 10 years. Smears were stained with progressive hematoxylin and processed by computer for DNA evaluation by image cytometry. RESULTS: Four different types of histograms that directly related to malignancy were obtained. These histograms were characterized by the value of entropy, and we established four grades of aggressiveness. Finally, we obtained two large groups: high and low grade of malignancy. We studied the survival times in both groups and used a Kaplan-Meier survival curve for the high grade group. We confirmed the results statistically and found that there was a significant relationship, with P < .05. CONCLUSION: We strongly advise the use of DNA quantification by image cytometry in daily surgery as a prognostic indicator of survival time in colorectal cancer.     

Direct quantification of polymerase chain reaction fragments using field-amplified sample injection in capillary zone electrophoresis for gene dosage estimation

To assess gene dosages for clinical application, especially for prognostication of cancer, we developed a direct quantification method for polymerase chain reaction products. We report on an application of field amplified sample injection (FASI) to capillary zone electrophoresis which allows the quantification of PCR products without sample preparation. Using an external standard and UV detection for the quantification of DNA, a low coefficient of variation has been obtained. Overall, the described method provides a fast and easy tool for PCR product quantification in clinical laboratories.     

Automated fluorescence image cytometry. DNA quantification and detection of chlamydial infections

Digitized fluorescence microscopy in conjunction with automated image segmentation is a promising approach for screening clinical specimens quickly and reliably. This paper describes the hardware and software of a prototype image-based cytometer that can identify fluorescent objects, discriminate true objects from artifacts and divide overlapping pairs of objects. The use of this image cytometer is discussed for: (1) the measurement of the DNA ploidy distribution of isolated mature rat liver nuclei labeled with 4',6-diamidine-2-phenylindole; (2) the comparison of the DNA ploidy distributions of the same samples measured by image cytometry (ICM) and flow cytometry (FCM); and (3) the quantification of chlamydial infection by double labeling cells with antichlamydiae antibody and Hoechst 33258 for nuclear DNA analysis. Ploidy distributions measured by the automated image cytometer compared favorably to those obtained by FCM. All pairs of overlapping nuclei were automatically detected by an additional computer algorithm, and those pairs that were clearly more than one nucleus by visual inspection were correctly divided. The irregular morphology of the chlamydiae-infected cells meant that 26% of them were not correctly identified in the fluorescein-stained images (as judged by manual inspection), but all cells were nevertheless detected correctly from the images of the Hoechst-stained samples. Automated fluorescence ICM yielded results similar to those obtained with FCM and had the additional benefit of maintaining cell and tissue architecture while preserving the opportunity for subsequent manual inspection of the specimen.     

DNA image cytometry on machine-selected breast cancer cells and a comparison between flow cytometry and scanning cytophotometry

A DNA image cytometry method, implemented on the LEYTAS image processing system, has been applied to acriflavine-Feulgen-stained breast cancer cytology specimens. An essential feature of the LEYTAS image cytometry method (LCM) is the automated selection of single nuclei according to predetermined specifications. Visual interaction has been used to reject remaining artefacts like overlapping nuclei. DNA profiles obtained with LCM have been compared with DNA profiles obtained by scanning cytophotometry (SCM) or flow cytometry (FCM). The resolution of DNA profiles obtained with LCM is similar to that from SCM but lower than that from FCM. However, a high correlation is found for the DNA indices measured with LCM and FCM (r = 0.97). The LCM profiles of aneuploid tumours generally showed lower accessory diploid fractions than FCM profiles due to the automated rejection of leukocyte nuclei. Also, LCM profiles frequently showed the presence of minor subpopulations of highly aneuploid/polyploid tumour cells that could not be identified by FCM. Therefore, LCM appears to be supplementary to FCM for studying tumour cell stemline heterogeneity.     

Plant Genome Size Measurement with DNA Image Cytometry

To test the reliability of DNA image cytometry for the measurement of nuclear DNA content in plant material, we conducted independent experiments in two laboratories using different image analysis instruments for densitometric measurement of nuclear DNA amount in Feulgen-stained squash preparations of root tips. The 2C nuclear DNA content of the nine species studied spanned a 100-fold range (approx. 0.3–33 pg). The estimates of nuclear DNA content measured with image cytometry methods were comparable to values obtained previously using both photometric cytometry and flow cytometry. Image cytometry methods showed little variation among repeated experiments within each laboratory or among different operators using the same instrument. Furthermore, the interphase-peak method (measurement of several hundred interphase nuclei per slide) was comparable to the classical prophase/telophase approach (measurement of ten early prophase and ten late telophase nuclei per slide). Hence, DNA image cytometry gives accurate and reproducible results and may be used as an alternative to photometric cytometry in plant nuclear DNA content measurements. In the present study, we propose that two standards for quality control of nuclear DNA content measurement are used in plant DNA image cytometry: (1) the coefficient of variation of the peak should be lower than 6%, and (2) the 4C/2C ratio should be between 1.9 and 2.1.     

Quantitative, longitudinal profiling of the primate fecal microbiota reveals idiosyncratic, dynamic communities

We used slot blot hybridization, quantitative polymerase chain reaction (qPCR), and flow cytometry microarrays to quantify specific 16S rDNAs in weekly fecal specimens from four monkeys housed in a research vivarium for periods ranging from five to 8 months. Even in these uniformly housed and fed animals the gut microbiota is idiosyncratic, very dynamic on short timescales, and shows significant positive and negative correlations among some bacteria as well as responses to heavy metal exposure. The relative quantification (fmol targets per total fmol bacterial 16S rDNA) afforded by flow cytometry microarrays agreed well with the absolute quantification (nanogram of target DNA per nanogram of fecal DNA) afforded by slot blots and qPCR. We also noted strengths and weaknesses in inter-method comparisons for DNA-based quantification of these complex bacterial communities.     

Quantification of the presence and activity of specific microorganisms in nature

Traditional techniques for assessment of microbial numbers and activity generally lack the specificity required for risk assessment following environmental release of genetically engineered microbial inocula. Immunological and molecular-based techniques, such as DNA probing and genetic tagging, were initially used to determine the presence or absence of microorganisms in environmental samples. Increasingly they are being developed for quantification of populations of specific organisms, either indigenous or introduced, in the environment. In addition, they are being used to quantify the activity of particular organisms or groups of organisms, greatly extending the range of techniques available to the microbial ecologist. This article reviews the use of traditional techniques for the quantification of microbial population size and activity and the application of molecular techniques, including DNA probing, genetic marking, use of fluorescent probes, and quantitative PCR, in combination with advanced cell detection techniques such as confocal laser scanning microscopy and flow cytometry.