The molecular machinery of cell cycle control is known in more detail for budding yeast, Saccharomyces cerevisiae, than for any other eukaryotic organism. In recent years, many elegant experiments on budding yeast have dissected the roles of cyclin molecules (Cln1-3 and Clb1-6) in coordinating the events of DNA synthesis, bud emergence, spindle formation, nuclear division, and cell separation. These experimental clues suggest a mechanism for the principal molecular interactions controlling cyclin synthesis and degradation. Using standard techniques of biochemical kinetics, we convert the mechanism into a set of differential equations, which describe the time courses of three major classes of cyclin-dependent kinase activities. Model in hand, we examine the molecular events controlling "Start" (the commitment step to a new round of chromosome replication, bud formation, and mitosis) and "Finish" (the transition from metaphase to anaphase, when sister chromatids are pulled apart and the bud separates from the mother cell) in wild-type cells and 50 mutants. The model accounts for many details of the physiology, biochemistry, and genetics of cell cycle control in budding yeast.
A one-step procedure is presented for simultaneous measurement of cell number and DNA content in cultured plant cells by flow cytometry. In order to obtain nuclei representative of the growth stadium of the culture and of all phases of the cell cycle, cells were carefully sampled and immediately fixed. Next, nuclei were isolated by enzymatic and mechanical maceration, and stained with a DNA-specific fluorescent dye. In the resultant preparation, cells can be counted at relative ease by means of a fluorescence microscope. However, flow-cytometric counting appeared to be superior to manual counting since the time needed for flow-cytometric counting was one-fourth that for manual counting and the variance between counts of the samples was significantly less. In addition, from the same routine, accurate DNA distributions were obtained as a second important parameter of the population dynamics.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.