Cell-to-Cell Variability in Protein Expression during Viral Infection: Monte-Carlo Simulation and Validation based on Confocal Imaging*

Saxena, Abha and Upadhyay, Vikas and Jana, Soumya and et al, . (2019) Cell-to-Cell Variability in Protein Expression during Viral Infection: Monte-Carlo Simulation and Validation based on Confocal Imaging*. In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 23-27 July 2019, Berlin, Germany.

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Abstract

One of the major challenges is to identify the statistical model underlying the heterogeneity in viral protein expression in single cells. In this endeavor, we propose a computational tool to address the cell-to-cell variability in protein expression by random variate generation following probability distributions. Here, we show that statistical modeling using the probability density function of various distribution offers considerable potential for providing stochastic inputs to Monte Carlo simulation. Specifically, we present the ranking between three distribution families including gamma, normal and Weibull distribution using a comparison of cumulative frequency obtained from experiment and simulation. The major contribution of the proposed simulation method is to identify the underlying statistical model in kinetic parameters that capture the variability in protein expression in single cells obtained through imaging using confocal microscopy.

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IITH Creators:
IITH CreatorsORCiD
Jana, SoumyaUNSPECIFIED
Giri, Lopamudrahttp://orcid.org/0000-0002-2352-7919
Item Type: Conference or Workshop Item (Paper)
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 17 Jan 2020 11:27
Last Modified: 17 Jan 2020 11:27
URI: http://raiith.iith.ac.in/id/eprint/7346
Publisher URL: http://doi.org/10.1109/EMBC.2019.8856612
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