Mechanistic Understanding of Surface Migration Dynamics with DNA Walkers

2021 ◽  
Vol 125 (2) ◽  
pp. 507-517
Author(s):  
Yancheng Du ◽  
Jing Pan ◽  
Hengming Qiu ◽  
Chengde Mao ◽  
Jong Hyun Choi
Keyword(s):  
Surface Migration ◽  
Migration Dynamics ◽  
Mechanistic Understanding ◽  
Dna Walkers

scholarly journals Mechanistic Understanding of Surface Migration Dynamics with DNA Walkers

2020 ◽  
Author(s):  
yancheng Du ◽  
Jing Pan ◽  
Hengming Qiu ◽  
Chengde Mao ◽  
Jong Hyun Choi
Keyword(s):  
Model System ◽  
Mechanistic Study ◽  
Enzymatic Reactions ◽  
Strand Displacement ◽  
Dna Walker ◽  
Surface Migration ◽  
Mean Squared Displacement ◽  
Theoretical Predictions ◽  
Migration Dynamics ◽  
Dna Walkers

<p>Dynamic DNA walkers can move cargoes on a surface through various mechanisms including enzymatic reactions and strand displacement. While they have demonstrated high processivity and speed, their motion dynamics are not well understood. Here, we utilize an enzyme-powered DNA walker as a model system and adopt a random walk model to provide new insight on migration dynamics. Four distinct migration modes (ballistic, Lévy, self-avoiding, and diffusive motions) are identified. Each mode shows unique step time and velocity distributions which are related to mean squared displacement (MSD) scaling. Experimental results are in excellent agreement with the theoretical predictions. With a better understanding of the dynamics, we performed a mechanistic study, elucidating the effects of cargo types and sizes, walker sequence designs, and environmental conditions. Finally, this study provides a set of design principles for tuning the behaviors of DNA walkers. The DNA walkers from this work could serve as a versatile platform for mathematical studies and open new opportunities for bioengineering.</p>

scholarly journals Mechanistic Understanding of Surface Migration Dynamics with DNA Walkers

2020 ◽  
Author(s):  
yancheng Du ◽  
Jing Pan ◽  
Hengming Qiu ◽  
Chengde Mao ◽  
Jong Hyun Choi
Keyword(s):  
Model System ◽  
Mechanistic Study ◽  
Enzymatic Reactions ◽  
Strand Displacement ◽  
Dna Walker ◽  
Surface Migration ◽  
Mean Squared Displacement ◽  
Theoretical Predictions ◽  
Migration Dynamics ◽  
Dna Walkers

<p>Dynamic DNA walkers can move cargoes on a surface through various mechanisms including enzymatic reactions and strand displacement. While they have demonstrated high processivity and speed, their motion dynamics are not well understood. Here, we utilize an enzyme-powered DNA walker as a model system and adopt a random walk model to provide new insight on migration dynamics. Four distinct migration modes (ballistic, Lévy, self-avoiding, and diffusive motions) are identified. Each mode shows unique step time and velocity distributions which are related to mean squared displacement (MSD) scaling. Experimental results are in excellent agreement with the theoretical predictions. With a better understanding of the dynamics, we performed a mechanistic study, elucidating the effects of cargo types and sizes, walker sequence designs, and environmental conditions. Finally, this study provides a set of design principles for tuning the behaviors of DNA walkers. The DNA walkers from this work could serve as a versatile platform for mathematical studies and open new opportunities for bioengineering.</p>

Surface migration dynamics of a planar organic molecule studied by pulsed molecular beam scattering

2000 ◽  
Vol 470 (1-2) ◽  
pp. L52-L56 ◽  
Author(s):  
T Shimada ◽  
R Hashimoto ◽  
J Koide ◽  
Y Kamimuta ◽  
A Koma
Keyword(s):  
Organic Molecule ◽  
Molecular Beam ◽  
Molecular Beam Scattering ◽  
Surface Migration ◽  
Beam Scattering ◽  
Migration Dynamics

Autómatas Celulares Aplicados al Comportamiento de Células de Cáncer Cervicouterino

2019 ◽  
Vol 6 (1) ◽  
pp. 44-49
Author(s):  
Tania Muñoz Jiménez ◽  
Aurora Torres Soto ◽  
María Dolores Torres Soto
Keyword(s):  
Cellular Automaton ◽  
Medical Model ◽  
Research Process ◽  
Simulation Algorithm ◽  
Stages Of Development ◽  
Literary Research ◽  
Migration Dynamics ◽  
Three Stages ◽  
And Migration ◽  
Best Parameters

En este documento se describe el desarrollo e implementación de un modelo para simular computacionalmente la dinámica del crecimiento y migración del cáncer cervicouterino, considerando sus principales características: proliferación, migración y necrosis, así como sus etapas de desarrollo. El modelo se desarrolló mediante un autómata celular con enfoques paralelo y secuencial. El autómata celular se basó en el modelo de Gompertz para simular las etapas de desarrollo de este cáncer, el cual se dividió en tres etapas cada una con diferentes comportamientos durante la simulación. Se realizó un diseño experimental con parámetros de entrada que se seleccionaron a partir de la investigación literaria y su discusión con médicos expertos. Al final del proceso de investigación, se logró obtener un algoritmo computacional de simulación muy bueno comparado con el modelo médico de Gompertz y se encontraron los mejores parámetros para su ejecución mediante un diseño factorial soportado estadísticamente. This paper describes the development and implementation of a model to computationally simulate the growth and migration dynamics of cervical cancer, considering its main characteristics: proliferation, migration and necrosis, as well as its stages of development. The model was developed by means of a cellular automaton with parallel and sequential approaches. The cellular automaton was based on the model of Gompertz to simulate the stages of development of this cancer, which was divided into three stages, each with different behaviors during the simulation. An experimental design was carried out with input parameters that were selected from literary research and its discussion with expert physicians. At the end of the research process, a very good simulation algorithm was obtained compared to the Gompertz medical model and the best parameters for its execution were found by means of a statistically supported factorial design.

Pescadores migrantes: análisis de su dinámica e integración Social

2019 ◽  
Vol 37 (3) ◽  
pp. 18
Author(s):  
Fernando González Laxe
Keyword(s):  
Renewable Resources ◽  
Sustainable Management ◽  
Social Groups ◽  
Technological Innovations ◽  
Social Competition ◽  
Factors Affecting ◽  
Fish Stocks ◽  
Fishery Resources ◽  
Migration Dynamics ◽  
The Many

The globalization of the economy encourages massive population displacements and inevitably generates a cosmopolitization of societies. This leads to concern, misunderstanding and rejection. The most vulnerable social groups in society can perceive the population as intruders and enemies in social competition. Undoubtedly, the extreme spatial instability of fishery resources is among the many factors affecting migration dynamics. Various reasons for the mobility of fishermen are relevant around this concept. These include aspect related to traditions, to the capitalisation of activity, to technological innovations, and to innovation exchanges concerning the location of fish stocks. This article reflects on spatial increase of fishermen’s. The analyse are part of the paradigm of the sustainable management of common renewable resources, in particular fishery resources. It presents three lines of analysis: the reason for mobility; the choice of destination; and are the integration into host units.

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