A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery

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

doi:doi:10.11648/j.ajasr.20190501.15

A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery

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

Published in American Journal of Applied Scientific Research (Volume 5, Issue 1)

Received: 12 May 2019 Accepted: 10 June 2019 Published: 24 June 2019

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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.

Published in	American Journal of Applied Scientific Research (Volume 5, Issue 1)
DOI	10.11648/j.ajasr.20190501.15
Page(s)	28-34
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cell Unclumping Kinetic Assay, Fixed Yeast Model, Drug Discovery

References

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[2]	G. Zem, A. Chimayan, V. Aleksanyan, J. Gordon, F. Gomez, A. Seyedroubari, J. Chang, T. Botello, N. Tan, D. Arefin, D. Tobar, A. Khachekian, L. Gama, E. Durodola, J. Batty, C. Plascencia, L. Barillas, A. Roverud, S. Kreuz, L. Sarkisyan, F. Lee, J. Munoz, L. Reque, V. Abed, L. Kinog, S. B. Oppenheimer A kinetic assay for non-automated drug screening FASEB J, 32 (2018), abstract 113.
[3]	G. Zem, V. Nahapetyan, K. Crocker, D. Tobar, S. Delos Santos, D. Nazarian, J. Hovannes, G. Beltran, R. Dubin, L. Reque, P. Singh, L. sarkisyan, B. Cardona, G. Bachinela, S. B. Oppenheimer Validation of a manual cell counting assay for assessing the kinetics of cell unclumping reagents in drug discovery FASEB J, 33 (2019), abstract 19.
[4]	National Science Foundation Excellence Awards in Science and Engineering Program: Presidential Awards for Excellence in Science, Mathematics and Engineering Mentoring (EASE: PAESMEM). Solicitation 16-534. 2019.
[5]	OSTP and NSF to honor 140 individuals and organizations with highest US award for teachers and mentors. News Release 18-043, June 25, 2018.
[6]	Presidential Awards for Excellence in Science, Mathematics and Engineering Mentoring, NSF Home Page, 2019.
[7]	NSF Proposal 07316333, March 6, 2007, Individual-Steven Oppenheimer Mentor, Researcher, Teacher.
[8]	Herstein, O. Steven Oppenheimer CSUN Magazine, no. 67 (2016), p. 20.
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[11]	K. Germanovich, E. Alessandra Femiaq, C. Y. Cheng, N. Dovlatova, M. Cattaneo Effects of pH and concentration of sodium citrate anticoagulant on platelet aggregation measured by light transmission aggregometry induced by adenosine diphosphate Platelets, 29 (2018), pp. 21-26.
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APA Style

Vahe Nahapetyan, Shiela Delos Santos, Kristel Joy Crocker, Dayana Tobar, Dante Nazarian, et al. (2019). A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. American Journal of Applied Scientific Research, 5(1), 28-34. https://doi.org/10.11648/j.ajasr.20190501.15

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ACS Style

Vahe Nahapetyan; Shiela Delos Santos; Kristel Joy Crocker; Dayana Tobar; Dante Nazarian, et al. A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. Am. J. Appl. Sci. Res. 2019, 5(1), 28-34. doi: 10.11648/j.ajasr.20190501.15

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AMA Style

Vahe Nahapetyan, Shiela Delos Santos, Kristel Joy Crocker, Dayana Tobar, Dante Nazarian, et al. A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. Am J Appl Sci Res. 2019;5(1):28-34. doi: 10.11648/j.ajasr.20190501.15

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@article{10.11648/j.ajasr.20190501.15,
  author = {Vahe Nahapetyan and Shiela Delos Santos and Kristel Joy Crocker and Dayana Tobar and Dante Nazarian and Hovannes Chirishyan and Gerard Beltran and Rachel Dubin and Leticia Reque and Prabkiran Singh and Brandie Cardona and Graciel Royce Bachinela and Lillyt Sarkisyan and Gregory Zem and Steven Oppenheimer},
  title = {A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery},
  journal = {American Journal of Applied Scientific Research},
  volume = {5},
  number = {1},
  pages = {28-34},
  doi = {10.11648/j.ajasr.20190501.15},
  url = {https://doi.org/10.11648/j.ajasr.20190501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20190501.15},
  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.},
 year = {2019}
}

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TY  - JOUR
T1  - A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery
AU  - Vahe Nahapetyan
AU  - Shiela Delos Santos
AU  - Kristel Joy Crocker
AU  - Dayana Tobar
AU  - Dante Nazarian
AU  - Hovannes Chirishyan
AU  - Gerard Beltran
AU  - Rachel Dubin
AU  - Leticia Reque
AU  - Prabkiran Singh
AU  - Brandie Cardona
AU  - Graciel Royce Bachinela
AU  - Lillyt Sarkisyan
AU  - Gregory Zem
AU  - Steven Oppenheimer
Y1  - 2019/06/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ajasr.20190501.15
DO  - 10.11648/j.ajasr.20190501.15
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 28
EP  - 34
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20190501.15
AB  - 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.
VL  - 5
IS  - 1
ER  -

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Author Information

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

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Plain Text BibTeX RIS

APA Style

Vahe Nahapetyan, Shiela Delos Santos, Kristel Joy Crocker, Dayana Tobar, Dante Nazarian, et al. (2019). A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. American Journal of Applied Scientific Research, 5(1), 28-34. https://doi.org/10.11648/j.ajasr.20190501.15

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ACS Style

Vahe Nahapetyan; Shiela Delos Santos; Kristel Joy Crocker; Dayana Tobar; Dante Nazarian, et al. A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. Am. J. Appl. Sci. Res. 2019, 5(1), 28-34. doi: 10.11648/j.ajasr.20190501.15

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AMA Style

Vahe Nahapetyan, Shiela Delos Santos, Kristel Joy Crocker, Dayana Tobar, Dante Nazarian, et al. A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery. Am J Appl Sci Res. 2019;5(1):28-34. doi: 10.11648/j.ajasr.20190501.15

Copy | Download

@article{10.11648/j.ajasr.20190501.15,
  author = {Vahe Nahapetyan and Shiela Delos Santos and Kristel Joy Crocker and Dayana Tobar and Dante Nazarian and Hovannes Chirishyan and Gerard Beltran and Rachel Dubin and Leticia Reque and Prabkiran Singh and Brandie Cardona and Graciel Royce Bachinela and Lillyt Sarkisyan and Gregory Zem and Steven Oppenheimer},
  title = {A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery},
  journal = {American Journal of Applied Scientific Research},
  volume = {5},
  number = {1},
  pages = {28-34},
  doi = {10.11648/j.ajasr.20190501.15},
  url = {https://doi.org/10.11648/j.ajasr.20190501.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajasr.20190501.15},
  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.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - A Manual Kinetic Assay in a Fixed Yeast Model for Drug Discovery
AU  - Vahe Nahapetyan
AU  - Shiela Delos Santos
AU  - Kristel Joy Crocker
AU  - Dayana Tobar
AU  - Dante Nazarian
AU  - Hovannes Chirishyan
AU  - Gerard Beltran
AU  - Rachel Dubin
AU  - Leticia Reque
AU  - Prabkiran Singh
AU  - Brandie Cardona
AU  - Graciel Royce Bachinela
AU  - Lillyt Sarkisyan
AU  - Gregory Zem
AU  - Steven Oppenheimer
Y1  - 2019/06/24
PY  - 2019
N1  - https://doi.org/10.11648/j.ajasr.20190501.15
DO  - 10.11648/j.ajasr.20190501.15
T2  - American Journal of Applied Scientific Research
JF  - American Journal of Applied Scientific Research
JO  - American Journal of Applied Scientific Research
SP  - 28
EP  - 34
PB  - Science Publishing Group
SN  - 2471-9730
UR  - https://doi.org/10.11648/j.ajasr.20190501.15
AB  - 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.
VL  - 5
IS  - 1
ER  -

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