scholarly journals A Stochastic Model for Virus Growth in a Cell Population

2014 ◽  
Vol 51 (03) ◽  
pp. 599-612
Author(s):  
J. E. Björnberg ◽  
T. Britton ◽  
E. I. Broman ◽  
E. Natan
Keyword(s):  
Stochastic Model ◽  
Host Cell ◽  
Cell Population ◽  
Branching Process ◽  
Virus Population ◽  
Virus Growth ◽  
Optimal Balance ◽  
Large Numbers ◽  
A Cell

In this work we introduce a stochastic model for the spread of a virus in a cell population where the virus has two ways of spreading: either by allowing its host cell to live and duplicate, or by multiplying in large numbers within the host cell, causing the host cell to burst and thereby let the virus enter new uninfected cells. The model is a kind of interacting Markov branching process. We focus in particular on the probability that the virus population survives and how this depends on a certain parameter λ which quantifies the ‘aggressiveness’ of the virus. Our main goal is to determine the optimal balance between aggressive growth and long-term success. Our analysis shows that the optimal strategy of the virus (in terms of survival) is obtained when the virus has no effect on the host cell's life cycle, corresponding to λ = 0. This is in agreement with experimental data about real viruses.

scholarly journals A Stochastic Model for Virus Growth in a Cell Population

2014 ◽  
Vol 51 (3) ◽  
pp. 599-612 ◽  
Author(s):  
J. E. Björnberg ◽  
T. Britton ◽  
E. I. Broman ◽  
E. Natan
Keyword(s):  
Stochastic Model ◽  
Host Cell ◽  
Cell Population ◽  
Branching Process ◽  
Virus Population ◽  
Virus Growth ◽  
Optimal Balance ◽  
Large Numbers ◽  
A Cell

In this work we introduce a stochastic model for the spread of a virus in a cell population where the virus has two ways of spreading: either by allowing its host cell to live and duplicate, or by multiplying in large numbers within the host cell, causing the host cell to burst and thereby let the virus enter new uninfected cells. The model is a kind of interacting Markov branching process. We focus in particular on the probability that the virus population survives and how this depends on a certain parameter λ which quantifies the ‘aggressiveness’ of the virus. Our main goal is to determine the optimal balance between aggressive growth and long-term success. Our analysis shows that the optimal strategy of the virus (in terms of survival) is obtained when the virus has no effect on the host cell's life cycle, corresponding to λ = 0. This is in agreement with experimental data about real viruses.

Long-term culture of a cell population from Siberian sturgeon (Acipenser baerii) head kidney

2008 ◽  
Vol 34 (4) ◽  
pp. 367-372 ◽  
Author(s):  
P. Ciba ◽  
S. Schicktanz ◽  
E. Anders ◽  
E. Siegl ◽  
A. Stielow ◽  
...  
Keyword(s):  
Cell Population ◽  
Head Kidney ◽  
Siberian Sturgeon ◽  
Acipenser Baerii ◽  
Long Term Culture ◽  
A Cell

Computer Analyses in Preventive Health Research

1967 ◽  
Vol 06 (01) ◽  
pp. 8-14 ◽  
Author(s):  
M. F. Collen
Keyword(s):  
Medical Research ◽  
Preventive Medicine ◽  
Health Research ◽  
Large Scale ◽  
Preventive Health ◽  
New Era ◽  
Large Numbers ◽  
Normal Test ◽  
Computer Analyses

The utilization of an automated multitest laboratory as a data acquisition center and of a computer for trie data processing and analysis permits large scale preventive medical research previously not feasible. Normal test values are easily generated for the particular population studied. Long-term epidemiological research on large numbers of persons becomes practical. It is our belief that the advent of automation and computers has introduced a new era of preventive medicine.

scholarly journals Multiciliated cell basal bodies align in stereotypical patterns coordinated by the apical cytoskeleton

2016 ◽  
Vol 214 (5) ◽  
pp. 571-586 ◽  
Author(s):  
Elisa Herawati ◽  
Daisuke Taniguchi ◽  
Hatsuho Kanoh ◽  
Kazuhiro Tateishi ◽  
Shuji Ishihara ◽  
...  
Keyword(s):  
Fluorescent Protein ◽  
Imaging System ◽  
Basal Bodies ◽  
Large Numbers ◽  
Multiciliated Cells ◽  
Alignment Process ◽  
Flow Through ◽  
Linear Alignment ◽  
Green Fluorescent

Multiciliated cells (MCCs) promote fluid flow through coordinated ciliary beating, which requires properly organized basal bodies (BBs). Airway MCCs have large numbers of BBs, which are uniformly oriented and, as we show here, align linearly. The mechanism for BB alignment is unexplored. To study this mechanism, we developed a long-term and high-resolution live-imaging system and used it to observe green fluorescent protein–centrin2–labeled BBs in cultured mouse tracheal MCCs. During MCC differentiation, the BB array adopted four stereotypical patterns, from a clustering “floret” pattern to the linear “alignment.” This alignment process was correlated with BB orientations, revealed by double immunostaining for BBs and their asymmetrically associated basal feet (BF). The BB alignment was disrupted by disturbing apical microtubules with nocodazole and by a BF-depleting Odf2 mutation. We constructed a theoretical model, which indicated that the apical cytoskeleton, acting like a viscoelastic fluid, provides a self-organizing mechanism in tracheal MCCs to align BBs linearly for mucociliary transport.

An electrical counter for cell population studies

1965 ◽  
Vol s3-106 (76) ◽  
pp. 311-314
Author(s):  
W. GALBRAITH
Keyword(s):  
Cell Population ◽  
Population Studies ◽  
A Cell ◽  
Different Characteristics ◽  
Simultaneous Assessment

A cheap and simple electrical counter is described which is convenient for the simultaneous assessment of the frequencies of several different characteristics in a cell population.

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