On solid substrate, growing yeast colonies alternately acidify and alkalinize the medium. Using morphological, cytochemical, genetic, and DNA microarray approaches, we characterized six temporal steps in the "acid-to-alkali" colony transition. This transition is connected with the production of volatile ammonia acting as starvation signal between colonies. We present evidence that the three membrane proteins Ato1p, Ato2p, and Ato3p, members of the YaaH family, are involved in ammonia production in Saccharomyces cerevisiae colonies. The acid-to-alkali transition is connected with decrease of mitochondrial oxidative catabolism and by peroxisome activation, which in parallel with activation of biosynthetic pathways contribute to decrease the general stress level in colonies. These metabolic features characterize a novel survival strategy used by yeast under starvation conditions prevalent in nature.
In the present work, we introduce a new type of DNA variation detection. This method represents a transfer of melting gel technique onto multicapillary electrophoresis DNA sequencing instrument with further improvements to achieve maximum sample throughput while maintaining a high performance. The main improvement comes from application of cycling (revolving) temporal temperature gradient in place of a single-sweep gradient, commonly used in similar gel-based techniques. This improvement enables utilization of multiple-injection technique, in which multiple samples are injected into the same capillary (or sets of capillaries) separated by predefined time intervals of partial electrophoresis. The periodic oscillation of the temperature results in identical separation conditions of all samples injected in such series. Using this novel approach, we demonstrate a dramatic increase in separation throughput by turning a standard commercial 96-capillary array instrument into a semicontinuous flow mutation detection system capable to screen over 15 000 samples in 24 h of operation on a single 96-capillary commercial instrument. This represents a 10-fold increase in sample throughput over the current comparable technology.
A previously introduced technique of cycling gradient capillary electrophoresis (CGCE) was applied to monitoring of molecular changes during adenoma-carcinoma transition in progression of sporadic colorectal cancer. The purpose of this work was optimization of separation parameters for selected mutation regions in tumor suppressor genes involved in the early stages of colorectal carcinogenesis, followed by scanning for these mutations in clinical tissue samples from patients with adenomatous polyps and early carcinomas. A total of 47 colorectal tumors in various stages of progression were examined. Main emphasis was given to evaluation of mutation detection sensitivity and specificity required for effective early disease detection. A total of 7 different somatic mutations was identified among 32 K-ras mutant samples, 1 inherited mutation and 5 somatic mutations were identified among 15 adenomatous polyposis coli (APC) mutated samples. None of the two previously reported "deleted in colorectal carcinomas" (DCC) mutations was found in any of the clinical samples. In addition to simple optimization of running conditions, CGCE has demonstrated sensitivity and selectivity allowing detecting small mutant fractions as well as combination of multiple mutants within a single target sequence.
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