Volume 5, Issue 1, March 2019, Page: 28-34
A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery
Vahe Nahapetyan, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Shiela Delos Santos, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Kristel Joy Crocker, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Dayana Tobar, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Dante Nazarian, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Hovannes Chirishyan, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Gerard Beltran, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Rachel Dubin, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Leticia Reque, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Prabkiran Singh, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Brandie Cardona, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Graciel Royce Bachinela, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Lillyt Sarkisyan, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Gregory Zem, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Steven Oppenheimer, Department of Biology and Center for Cancer and Developmental Biology, California State University, Northridge, United States
Received: May 12, 2019;       Accepted: Jun. 10, 2019;       Published: Jun. 24, 2019
DOI: 10.11648/j.ajasr.20190501.15      View  128      Downloads  25
Abstract
Manual cell counting assays are often considered as a gold standard in some applications because of direct observation of results. Here a manual kinetic cell counting method is used to evaluate the efficacy of reagents to unclump cells in a fixed yeast (Saccharomyces cerevisae) model. Clumped cells are more dangerous than single cells in many human venues such as cancer spread, thrombocytic blockages and biofilm infectivity. In this study percentage of single cells are analyzed over time in the presence or absence of specific reagents and the number of cell clumps and cells per clump are also assessed. The results show that when the percentage of single cells increases, the number of clumps and cells per clump decrease, helping to validate the assay. These findings suggest that this assay can be a gold standard for evaluating the effects of specific reagents on cell unclumping in a model system that can be used in drug discovery investigations. This study is part of a program that won a U.S. Presidential Award for science mentoring presented by President Obama at the White House. The experiments are easily accomplished by undergraduate students and can be done by research classes without background in complex science methodology.
Keywords
Cell Unclumping Kinetic Assay, Fixed Yeast Model, Drug Discovery
To cite this article
Vahe Nahapetyan, Shiela Delos Santos, Kristel Joy Crocker, Dayana Tobar, Dante Nazarian, Hovannes Chirishyan, Gerard Beltran, Rachel Dubin, Leticia Reque, Prabkiran Singh, Brandie Cardona, Graciel Royce Bachinela, Lillyt Sarkisyan, Gregory Zem, Steven Oppenheimer, A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery, American Journal of Applied Scientific Research. Vol. 5, No. 1, 2019, pp. 28-34. doi: 10.11648/j.ajasr.20190501.15
Copyright
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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