Probabilistic Modeling of Pseudorabies Virus Infection in a Neural Circuit

Journal of computational biology: A journal of computational molecular cell biology

Matthew P.Taylor^3¹  Siamak K.Sorooshyari^1,2³  H. VincentPoor^4⁶ 

[1] Johnson, Bridgewater, NJ 08807^1;Johnson, Bridgewater, New Jersey^2;Address correspondence to: Mr. Siamak K. Sorooshyari, Johnson &Department of Electrical Engineering, Princeton University, Princeton, New Jersey^4;Department of Microbiology and Immunology, Montana State University, Bozeman, Montana^3;Johnson &

关键词: probabilistic modeling;    pseudorabies virus;    viral tracing;   

DOI  :  10.1089/cmb.2017.0131

学科分类：生物科学（综合）

来源: Mary Ann Liebert, Inc. Publishers

【 摘 要 】

Viral transneuronal tracing methods effectively label synaptically connected neurons in a time-dependent manner. However, the modeling of viral vectors has been largely absent. An objective of this article is to motivate and initiate a basis for computational modeling of viral labeling and the questions that can be investigated through modeling of pseudorabies virus (PRV) virion progression in a neural circuit. In particular, a mathematical model is developed for quantitative analysis of PRV infection. Probability expressions are presented to evaluate the progression of viral labeling along the neural circuit. The analysis brings forthvarious parameters, the numerical values of which must be attained through future experiments. This is the first computational model for PRV viral labeling of a neural circuit.

【 授权许可】

Unknown