Vertical heterogeneity of DNA ploidy level assessed by flow cytometry in calli of Passiflora Cincinnata

During in vitro culture conditions, callus tissue is exposed to different intensities of environmental stress, which may induce somaclonal variation. Among the possible resulting abnormalities, callus cells can exhibit distinct DNA ploidy levels, a type of somaclonal variation associated with euploidy and/or aneuploidy. As somaclonal variation has been regarded as both a positive and negative phenomenon, the development of strategies to carefully assess the stability of DNA ploidy level within callus tissue is highly valuable. To this end, the present work aimed to evaluate the presence of intra- and inter-calli heterogeneity in relation to DNA ploidy level and nuclei density by flow cytometry. Calli were induced from cotyledonary leaves of Passiflora cincinnata, a wild passion fruit species. Embryogenic friable calli cultivated for 2, 6, and 9 mo were classified as young, intermediary, and old, respectively. These calli were horizontally sliced from the bottom-up at approximately the same thickness, and a total of 160 layers were evaluated by flow cytometry. Inter- and intra-calli heterogeneities were detected in relation to nuclei density and DNA ploidy level. Additional analysis was performed to identify the most proliferative layer. We conclude that care must be taken when using callus as source material for flow cytometry, since one portion cannot represent the whole cell mass. Moreover, in order to prevent the emergence of undesired ploidies during clonal propagation, callus culture time should not be prolonged.     

Changes in cell volume of bacteria and heterotrophic nanoflagellates in a hypereutrophic pond

Changes in cell volume of planktonic bacteria and heterotrophic nanoflagellates (HNF) were examined in a hypereutrophic pond from April to October, 1997. There were marked changes in the abundance of bacteria, HNF and ciliates and in protistan bacterivory during this period. The cell volume of free-living bacteria (0.121 ± 0.031 m³, mean ± SD) was large relative to that reported in the literature. The cell volumes of HNF was 71.1 ± 24.8 m³. Both cell volumes did not follow a seasonal trend. The dominant size class of bacteria was seasonally variable, whereas density of filamentous bacteria was relatively high between August and September. Biomass of filamentous bacteria accounted for up to 33.6% of total bacterial biomass. A correlation analysis for cell volume of bacteria and HNF, density of filamentous bacteria and some microbial variates was performed. The positive correlations detected (p<0.05) were between density of bacteria and cell volume of HNF, and between density of filamentous bacteria and cell volume of HNF.     

Analysis of cell cycle activity and population dynamics in heterogeneous plant cell suspensions using flow cytometry

Flow cytometry was used to measure cell cycle parameters in Solanum aviculare plant cell suspensions. Methods for bromodeoxyuridine (BrdU) labeling of plant nuclei were developed so that cell cycle times and the proportion of cells participating in growth could be determined as a function of culture time and conditions. The percentage of cells active in the cell cycle at 25 degrees C decreased from 52% to 19% within 7.6 d of culture; presence of a relatively large proportion of non-active cells was reflected in the results for culture growth. While the maximum specific growth rate of the suspensions at 25 degrees C was 0.34 d-1 (doubling time: 2.0 d), the specific growth rate of active cells was significantly greater at 0.67 d-1, corresponding to a cell cycle time of 1.0 d. A simple model of culture growth based on exponential and linear growth kinetics and the assumption of constant cell cycle time was found to predict with reasonable accuracy the proportion of active cells in the population as a function of time. Reducing the temperature to 17 degrees C lowered the culture growth rate but prolonged the exponential growth phase compared with 25 degrees C; the percentage of cells participating in the cell cycle was also higher. Exposure of plant cells to different agitation intensities in shake flasks had a pronounced effect on the distribution of cells within the cell cycle. The proportion of cells in S phase was 1.8 times higher at a shaker speed of 160 rpm than at 100 rpm, while the frequency of G0 + G1 cells decreased by up to 27%. Because of the significant levels of intraculture heterogeneity in suspended plant cell systems, flow cytometry is of particular value in characterizing culture properties and behavior.     

Phagocytosis of apoptotic cells assessed by flow cytometry using 7-Aminoactinomycin D

BACKGROUND: Apoptotic cells are recognized specifically by macrophages and are cleared rapidly by phagocytosis. However, the recognition mechanisms involved in the clearance of apoptotic cells by macrophages are still not fully understood. Therefore, new methods must be designed to better our understanding of the mechanisms of interaction between macrophages and apoptotic cells. 7-Aminoactinomycin D (7-AAD) is a fluorescent DNA-binding stain usually used as a single agent to detect apoptotic cells by flow cytometry. We propose the use of 7-AAD-stained apoptotic cells as targets for a new flow cytometry phagocytosis assay. METHODS: Murine T-cell lymphoma YAC-1 cells were treated with etoposide to induce apoptosis. Etoposide-treated YAC-1 target cells were stained subsequently with 7-AAD and then coincubated with resident peritoneal macrophages to allow phagocytosis. The samples were analyzed by flow cytometry. Macrophages that had phagocytosed 7-AAD-stained apoptotic cells were identified by their bright red fluorescence and the resulting values were expressed as the percentage of cells. RESULTS: The phagocytic cells appeared as a distinct population characterized by bright fluorescence, which could not be detected in the negative controls. The effects of a phagocytic enhancer (interferon-gamma [IFN-gamma]) or inhibitor (incubation at 4 degrees C) were assessed accurately with this flow cytometric method. CONCLUSIONS: We describe the use of 7-AAD in an assay that is easy and quick to perform. This flow cytometric-based assay allows the quantification of phagocytosis of apoptotic cells by macrophages.     

Engineered single‐ and multi‐cell chemotaxis pathways in E. coli

We have engineered the chemotaxis system of Escherichia coli to respond to molecules that are not attractants for wild‐type cells. The system depends on an artificially introduced enzymatic activity that converts the target molecule into a ligand for an E. coli chemoreceptor, thereby enabling the cells to respond to the new attractant. Two systems were designed, and both showed robust chemotactic responses in semisolid and liquid media. The first incorporates an asparaginase enzyme and the native E. coli aspartate receptor to produce a response to asparagine; the second uses penicillin acylase and an engineered chemoreceptor for phenylacetic acid to produce a response to phenylacetyl glycine. In addition, by taking advantage of a ‘hitchhiker’ effect in which cells producing the ligand can induce chemotaxis of neighboring cells lacking enzymatic activity, we were able to design a more complex system that functions as a simple microbial consortium. The result effectively introduces a logical ‘AND’ into the system so that the population only swims towards the combined gradients of two attractants.     

Effects of hydrophobic and electrostatic cell surface properties of bacteria on feeding rates of heterotrophic nanoflagellates

The influence of cell surface hydrophobicity and electrostatic charge of bacteria on grazing rates of three common species of interception-feeding nanoflagellates was examined. The hydrophobicity of bacteria isolated from freshwater plankton was assessed by using two different methods (bacterial adhesion to hydrocarbon and hydrophobic interaction chromatography). The electrostatic charge of the cell surface (measured as zeta potential) was analyzed by microelectrophoresis. Bacterial ingestion rates were determined by enumerating bacteria in food vacuoles by immunofluorescence labelling via strain-specific antibodies. Feeding rates varied about twofold for each flagellate species but showed no significant dependence on prey hydrophobicity or surface charge. Further evidence was provided by an experiment involving flagellate grazing on complex bacterial communities in a two-stage continuous culture system. The hydrophobicity values of bacteria that survived protozoan grazing were variable, but the bacteria did not tend to become more hydrophilic. We concluded that variability in bacterial cell hydrophobicity and variability in surface charge do not severely affect uptake rates of suspended bacteria or food selection by interception-feeding flagellates.     

Correlation of grade of urothelial cell carcinomas and DNA histogram features assessed by flow cytometry and automated image cytometry.

OBJECTIVE: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder. MATERIALS AND METHODS: Two-hundred-and twenty-eight consensus cases were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCM and ICM in 202 of these cases. FCM and optimised ICM measurements were performed on the 202 UCs. To discriminate between different grades, single- and multivariate analyses was performed on DNA histogram features obtained with the MultiCycle program (using DNA index (DI) and SPF). RESULTS: Overall measurement time of the adapted ICM method was 10.7 minutes per case (range 5.9-29.8 min.) and required little additional interactive object rejection (average 152 objects (84-298) on 3000 objects per case measured, which took 9.9 minutes on average, range 8.3-15.5 minutes). The ICM histograms looked much "cleaner" with less noise than the FCM graphs. The coefficient of variation (CV) of the diploid peak for ICM (5.4%) was significantly lower than for FCM (5.9%) (p<0.0001). ICM features were more strongly correlated to grade than FCM features. In multivariate analysis, the best discriminating set of features was DNA ploidy and SPF (both by ICM). CONCLUSIONS: The adapted fully automated DNA ICM works very well for UCs. Low CV DNA ICM histograms are obtained in a time comparable to FCM. The DNA ICM results have stronger discriminative power than DNA FCM for grade in TaT1 UCs.     

An improved cell separation technique for marine subsurface sediments: applications for high‐throughput analysis using flow cytometry and cell sorting

Development of an improved technique for separating microbial cells from marine sediments and standardization of a high‐throughput and discriminative cell enumeration method were conducted. We separated microbial cells from various types of marine sediment and then recovered the cells using multilayer density gradients of sodium polytungstate and/or Nycodenz, resulting in a notably higher percent recovery of cells than previous methods. The efficiency of cell extraction generally depends on the sediment depth; using the new technique we developed, more than 80% of the total cells were recovered from shallow sediment samples (down to 100 meters in depth), whereas ～ 50% of cells were recovered from deep samples (100–365 m in depth). The separated cells could be rapidly enumerated using flow cytometry (FCM). The data were in good agreement with those obtained from manual microscopic direct counts over the range 10⁴–10⁸ cells cm^?3. We also demonstrated that sedimentary microbial cells can be efficiently collected using a cell sorter. The combined use of our new cell separation and FCM/cell sorting techniques facilitates high‐throughput and precise enumeration of microbial cells in sediments and is amenable to various types of single‐cell analyses, thereby enhancing our understanding of microbial life in the largely uncharacterized deep subseafloor biosphere.     

Using single‐cell genomics to understand developmental processes and cell fate decisions

High‐throughput ‐omics techniques have revolutionised biology, allowing for thorough and unbiased characterisation of the molecular states of biological systems. However, cellular decision‐making is inherently a unicellular process to which “bulk” ‐omics techniques are poorly suited, as they capture ensemble averages of cell states. Recently developed single‐cell methods bridge this gap, allowing high‐throughput molecular surveys of individual cells. In this review, we cover core concepts of analysis of single‐cell gene expression data and highlight areas of developmental biology where single‐cell techniques have made important contributions. These include understanding of cell‐to‐cell heterogeneity, the tracing of differentiation pathways, quantification of gene expression from specific alleles, and the future directions of cell lineage tracing and spatial gene expression analysis.     

Mammalian cell culture scale-up and fed-batch control using automated flow cytometry

Detailed knowledge of mammalian cell culture proliferation kinetics is important to determine fed-batch strategies for industrial bioreactor operations. In particular, predicting the end of exponential proliferation in batch culture is a critical process parameter during culture scale-up. Using automated flow cytometry we show that an increase in the non-viable sub-population in CHO cell culture can predict the onset of stationary phase by approximately 40 h. This enables a completely automated culture scale-up process as well as a reliable and reproducible control of fed-batch additions during culture expansion. It is shown that the automated scale-up results in a significantly higher total cell count in the reactor than manual scale up initiated in stationary growth phase. During individual, subsequent culture expansions, a significant variation in the proliferation rate was observed despite control of bulk culture parameters. Thus, automated flow cytometry is critical to uncovering useful process parameters that enable new control strategies. Such improved process supervision derived from knowledge-based data analysis is central to the FDA's Process Analytical Technology (PAT) initiative and is expected to result in better and higher quality products.     

Assessment of cell concentration and viability of isolated hepatocytes using flow cytometry

The assessment of cell concentration and viability of freshly isolated hepatocyte preparations has been traditionally performed using manual counting with a Neubauer counting chamber and staining for trypan blue exclusion. Despite the simple and rapid nature of this assessment, concerns about the accuracy of these methods exist. Simple flow cytometry techniques which determine cell concentration and viability are available yet surprisingly have not been extensively used or validated with isolated hepatocyte preparations. We therefore investigated the use of flow cytometry using TRUCOUNT Tubes and propidium iodide staining to measure cell concentration and viability of isolated rat hepatocytes in suspension. Analysis using TRUCOUNT Tubes provided more accurate and reproducible measurement of cell concentration than manual cell counting. Hepatocyte viability, assessed using propidium iodide, correlated more closely than did trypan blue exclusion with all indicators of hepatocyte integrity and function measured (lactate dehydrogenase leakage, cytochrome p450 content, cellular ATP concentration, ammonia and lactate removal, urea and albumin synthesis). We conclude that flow cytometry techniques can be used to measure cell concentration and viability of isolated hepatocyte preparations. The techniques are simple, rapid, and more accurate than manual cell counting and trypan blue staining and the results are not affected by protein-containing media.     

Analysis of viability and cell types of macroalgal protoplasts using flow cytometry

The ability to rapidly distinguish viable sub-populations of cells within populations of macroalgal protoplast isolations was demonstrated using flow cytometry. Viable protoplasts from Ulva sp. and Porphyra perforata J. Ag. were distinguished from non-viable protoplasts based on differential fluorescein accumulation. The identities of cortical and epidermal protoplasts from Macrocystis pyrifera (L.) C. Ag. were inferred based on light-scattering and chlorophyll a autofluorescence. Three cell types could be distinguished among protoplasts released from thalli of P. perforata based on chlorophyll a and phycoerythrin autofluorescence. Mixed protoplast populations of Ulva sp. and P. perforata were also discernable based on relative chlorophyll a and phycoerythrin autofluorescence. The ability to screen heterogenous protoplast populations rapidly, combined with the cell sorting capabilities of many flow cytometers, should prove valuable for seaweed biotechnology.     

Microbial response to single‐cell protein production and brewery wastewater treatment

As global fisheries decline, microbial single‐cell protein (SCP) produced from brewery process water has been highlighted as a potential source of protein for sustainable animal feed. However, biotechnological investigation of SCP is difficult because of the natural variation and complexity of microbial ecology in wastewater bioreactors. In this study, we investigate microbial response across a full‐scale brewery wastewater treatment plant and a parallel pilot bioreactor modified to produce an SCP product. A pyrosequencing survey of the brewery treatment plant showed that each unit process selected for a unique microbial community. Notably, flow equalization basins were dominated by Prevotella, methanogenesis effluent had the highest levels of diversity, and clarifier wet‐well samples were sources of sequences for the candidate bacterial phyla of TM7 and BD1‐5. Next, the microbial response of a pilot bioreactor producing SCP was tracked over 1 year, showing that two different production trials produced two different communities originating from the same starting influent. However, SCP production resulted generally in enrichment of several clades of rhizospheric diazotrophs of Alphaproteobacteria and Betaproteobacteria in the bioreactor and even more so in the final product. These diazotrophs are potentially useful as the basis of a SCP product for commercial feed production.     

Genome size and base composition of Bromeliaceae species assessed by flow cytometry

Flow cytometry (FCM) has been used to estimate the nuclear DNA content of Bromeliaceae species, which constitutes relevant information for studies of taxonomy, evolution, genetic diversity, and reproductive biology in bromeliads. Nevertheless, C values have only been estimated for 58 out of the 3,140 existing Bromeliaceae species. Aiming to contribute to the genome database of Bromeliaceae, the current study was carried out to measure the nuclear DNA content and base composition of Bromelioideae and Tillandsioideae species occurring in the Atlantic Rainforest. The most adequate FCM procedure provided histograms exhibiting G₀/G₁ peaks with coefficients of variation below 5%, so that these histograms were used to measure the mean 2C and AT% values for all collected Bromelioideae and Tillandsioideae species. These values were statistically compared, and dendrograms were plotted. A second comparison was performed among all mean 2C values reported for Pitcairnioideae, Tillandsioideae, and Bromelioideae species. In accordance with previous statistical comparisons, two groups were formed: cluster 1, composed by Tillandsia loliacea, Tillandsia usneoides, and Tillandsia cyanea, and cluster 2, gathering other 69 species. Based on these results, we concluded that FCM was a rapid, accurate, and reliable technique to assess genome size and base composition. Furthermore, the FCM data reported here will contribute to the Monocot and Bromeliaceae database, which still displays several ongoing gaps, especially for endemic species.     

Myeloid cell differentiation in normal bone marrow and acute myeloid leukemia assessed by multi-dimensional flow cytometry.

A detailed analysis of normal myeloid differentiation was performed using mutlidimensional flow cytometry. Based on two light scattering and three color immunofluorescence signals, the normal maturation pathways of both the monocyte and neutrophil lineages could be elucidated. Gradual changes of light scattering properties and cell surface antigen expression defined the pathways of each of the lineages. The consistency of the location of these lineage specific pathways found in normal individuals provided the basis for the discrimination between normal and leukemic cells in acute myeloid leukemia (ANLL). The position of leukemic cells in patients with ANLL in a five-dimensional space was compared with the position of the maturation tracks in normal individuals. The expression of normal antigens on leukemic cells provided the tools to: (1) distinguish normal from clonal populations of leukemic cells in all 15 patients; (2) detect a lineage predominance, either monocytic or neutrophilic, in all 15 patients; (3) detect maturation heterogeneity in all 15 patients. Although maturation pathways of the monocytic and the neutrophilic lineages were analogous to the normal patterns they were distinct in several ways. The expression of normal antigens on leukemic cells may provide the tools to: (1) obtain a new frame-work for classification of leukemia based on the ability to quantify the aberrant antigen expression and to define a 'distance from normal' based on the characteristics studied (the maturation heterogeneity of the leukemic cells also can be correlated with the clinical outcome of the patients); (2) detect minimal residual disease using the difference in locations of the leukemic cells in the multidimensional space from the normal maturation pathways (3) monitor relapse and changes in phenotypes which may accompany chemotherapy, suggesting the appearance of variant or new clones.