Zheru Zhang

Correlating Cell Cycle With Metabolism in Single Cells: Combination of Image and Metabolic Cytometry

BACKGROUND We coin two terms: First, chemical cytometry describes the use of high-sensitivity chemical analysis techniques to study single cells. Second, metabolic cytometry is a form of chemical cytometry that monitors a cascade of biosynthetic and biodegradation products generated in a single cell. In this paper, we describe the combination of metabolic cytometry with image cytometry to correlate oligosaccharide metabolic activity with cell cycle. We use this technique to measure DNA ploidy, the uptake of a fluorescent disaccharide, and the amount of metabolic products in a single cell. METHODS A colon adenocarcinoma cell line (HT29) was incubated with a fluorescent disaccharide, which was taken up by the cells and converted into a series of biosynthetic and biodegradation products. The cells were also treated with YOYO-3 and Hoechst 33342. The YOYO-3 signal was used as a live-dead assay, while the Hoechst 33342 signal was used to estimate the ploidy of live cells by fluorescence image cytometry. After ploidy analysis, a cell was injected into a fused-silica capillary, where the cell was lysed. Fluorescent metabolic products were then separated by capillary electrophoresis and detected by laser-induced fluorescence. RESULTS Substrate uptake measured with metabolic cytometry gave rise to results similar to those measured by use of laser scanning confocal microscopy. The DNA ploidy histogram obtained with our simple image cytometry technique was similar to that obtained using flow cytometry. The cells in the G(1) phase did not show any biosynthetic activity in respect to the substrate. Several groups of cells with unique biosynthetic patterns were distinguished within G(2)/M cells. CONCLUSIONS This is the first report that combined metabolic and image cytometry to correlate formation of metabolic products with cell cycle. A complete enzymatic cascade is monitored on a cell-by-cell basis and correlated with cell cycle.

Separation of proteins by sodium dodecylsulfate capillary electrophoresis in hydroxypropylcellulose sieving matrix with laser-induced fluorescence detection

Sodium dodecyl sulfate capillary electrophoresis by using hydroxypropylcellulose as the sieving matrix was developed for separation of proteins. 3-(2-furoyl)quinoline-2-carboxaldehyde, a fluorogenic dye, was used as the pre-column reagent to label proteins, which allows the use of laser-induced fluorescence to improve the detection sensitivity. Five standard proteins within the molecular mass range of 14,000-97,000 were used to test this method and a calibration curve was obtained between the molecular mass of these proteins and their peak migration times. This method was also applied to the separation of proteins from HT29 human colon adenocarcinoma cell extracts, and, typically, nearly 30 protein components could be resolved in a 20-min separation. Similar separation patterns were observed for the cell extract proteins when three running buffer systems were employed, indicating that buffer composition did not have much influence on the separation based on HPC sieving.

Single-cell analysis avoids sample processing bias

Microscale separation tools such as capillary chromatography and capillary electrophoresis (CE) allow the study of metabolism in individual cells. In this work, we demonstrate that single-cell analysis describes metabolism more accurately than analysis of cellular extracts. We incubated HT29 cells (human colon adenocarcinoma) with a fluorescently labeled metabolic probe. This disaccharide, LacNAc, was labeled with a fluorescent dye, tetramethylrhodamine (TMR). The probe was taken up by the cells and metabolized to a number of products that retained the fluorescent label. We then split the cells into two batches. A cellular extract was prepared from one batch and analyzed by CE with laser-induced fluorescence (LIF) detection. The cells from the second batch were used for single-cell analysis by CE-LIF. Separation and detection conditions were identical for extract and single-cell analyses. We found that the electropherogram obtained by averaging the results from a number of single cells differed significantly from the cell extract electropherogram. Differences were due to sample processing during extract preparation. Disruption of the cells liberated enzymes that were compartmentalized within the cell, which allowed non-metabolic reactions to proceed. The accumulation of these non-metabolic products introduced a bias in the cell extract assay. During single-cell analysis, cells were lysed inside the capillary and the separation voltage was applied immediately to separate the enzymes from their substrates and prevent non-metabolic reactions. This paper is the first to report that CE analysis of single cells provides more accurate metabolic information than the CE analysis of a cellular extract.

Manipulation of protein fingerprints during on-column fluorescent labeling: protein fingerprinting of six Staphylococcus species by capillary electrophoresis.

Bacterial proteomes were analyzed by use of electrophoretically mediated microanalysis (EMMA) and field‐enhanced stacking. A water‐soluble protein fraction was injected onto a capillary. Next, a fluorogenic reagent was injected and allowed to react with the protein mixture, producing fluorescent products that were separated by submicellar capillary electrophoresis and detected by laser‐induced fluorescence. By use of a low‐ionic strength sample buffer and a brief electrophoretic step, slow moving anionic proteins were stacked at the reagent‐sample interface and were preferentially labeled. By reversing the order of sample injection and labeling reagent, fast moving cationic proteins were preferentially labeled. By adjustment of the sample buffer pH, proteins with different isoelectric points were selectively labeled. Electrophoresis fingerprints were generated for the water‐soluble protein fraction from six Staphylococcus species. The protein patterns produced were species‐specific and were used to construct a phylogenetic tree.

Protein analysis of an individual Caenorhabditis elegans single-cell embryo by capillary electrophoresis.

We present a simple one-dimensional electrophoretic map of the expressed proteins in a Caenorhabditis elegans embryo. The embryo was taken from an adult nematode, injected into a 50-microm I.D. capillary, and lysed. The proteins were fluorescently labeled and then separated by capillary electrophoresis and detected by laser-induced fluorescence. Over 20 components were resolved in the 22-min separation. The dynamic range was outstanding for this separation, noise in the baseline was less than 0.01% the amplitude of the largest component.

Molecular cytometry: analysis of proteins in single cells

Molecular cytometry refers to ultrasensitive analysis tools that are used to separate and identify entire classes of molecules in single cells. Recently, we described two molecular cytometry methods to analyze proteins at the single cell level. The first one was based on capillary gel electrophoresis with sheath-flow cuvette laser-induced fluorescence (LIF). A vacuum pulse was employed to introduce a single HT29 human colon cancer cell into the capillary. Once the cell was lysed, proteins were denatured with SDS, labeled with 3-(2-furoyl)-quinoline-2-carboxaldehyde (FQ), and then separated according to their size by using pullulan as the sieving matrix. The second one was based on submicellar capillary electrophoresis with sheath-flow cuvette LIF. Once a single cell was introduced and lysed, the cellular proteins were labeled with FQ and then separated in a submicellar buffer. This method has been applied to analysis of proteins in a single HT29 human cancer cell as well as single-cell stage Caenorhabditis elegans embryo.