Characterising the diffusion of biological nanoparticles on fluid and cross-linked membranes

Debets, Vincent E.; Janssen, Liesbeth M. C.; Šarić, Anđela

doi:10.1039/d0sm00712a

Cited by 13 publications

(15 citation statements)

References 60 publications

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“…Berbagai metode telah dikembangkan dalam mengkaji segala proses biologis yang terjadi dalam tubuh. Pada dasarnya, banyak aktivitas biologis dalam tubuh manusia melibatkan sistem difusi dan proses reaksi [1][2][3][4]. Salah satu bentuk peristiwa difusi yang terjadi dalam tubuh adalah proses transpor oksigen menuju sel darah merah [5][6][7].…”

Section: Pendahuluanunclassified

Difusi Bebas 1D dan 2D dengan Monte Carlo: Perbandingan Distribusi Bilangan Random Normal dan Seragam dengan Box-Müller

2021

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Many biological processes in the human body are based on the diffusion system. Diffusion is defined as a process of random movement of the particle whose the direction is from high concentrations to low concentrations. Many of various study of diffusion have been done both experimentally and computationally. Because the particle interaction is stochastic, the Monte Carlo (MC) method is used in performing particle simulations. The main of MC method is the use of random numbers. Many software have provided uniform random number generators. But based on the analytic results, the solution is normal distribution. Therefore, Box-Müller can be used as a transformation of particle distribution. The software used, MATLAB, has a normal random generator. Therefore, the aims of this study is comparing particle distribution of these two different random number generator with MATLAB and showing the impact of timestep parameter to these random number generator. This result can be used as based for the modelling of more complex biological systems.

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Section: Pendahuluanunclassified

Difusi Bebas 1D dan 2D dengan Monte Carlo: Perbandingan Distribusi Bilangan Random Normal dan Seragam dengan Box-Müller

2021

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“…[7][8][9][10][11] Over the past decades, the diffusion of probe particles in crowded media has been widely studied both experimentally 4,[12][13][14][15][16][17][18][19] and theoretically. [20][21][22][23][24][25][26][27][28][29] However, most of these studies focus on the passive diffusion of particles in crowded heterogeneous environments, but in the context of cellular biology, there are plenty of examples of diffusion of active particles such as molecular motors, [30][31][32] active filaments, 33 microtubules 34 etc. More recently, researchers have come up with artificial microswimmers like self-propelled Janus particles or chiral particles mimicking the role of biological swimmers.…”

Section: Introductionmentioning

confidence: 99%

Transport of a self-propelled tracer through a hairy cylindrical channel: interplay of stickiness and activity

2022

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“…Over the past decades, the diffusion of probe particles in crowded media has been widely studied both experimentally 4,[12][13][14][15][16][17][18][19] and theoretically [20][21][22][23][24][25][26][27][28][29] . However, most of these studies focus on the passive diffusion of particles in crowded heterogeneous environments, but in the context of cellular biology, there are plenty of examples of diffusion of active particles such as molecular motors [30][31][32] , active filaments 33 , microtubules 34 etc.…”

Section: Introductionmentioning

confidence: 99%

Transport of a self-propelled tracer through a hairy cylindrical channel: interplay of stickiness and activity

Sahoo,

Theeyancheri,

Chakrabarti

2022

Preprint

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Active transport of biomolecules assisted by motor proteins is imperative for the proper functioning of cellular activities. Inspired by the diffusion of active agents in crowded cellular channels, we computationally investigate the transport of an active tracer through a polymer grafted cylindrical channel by varying the activity of the tracer and stickiness of the tracer to the polymers. Our results reveal that the passive tracer exhibits profound subdiffusion with increasing stickiness by exploring deep into the grafted polymeric zone, while purely repulsive one prefers to diffuse through the pore-like space created along the cylindrical axis of the channel. In contrast, the active tracer shows faster dynamics and intermediate superdiffusion even though the tracer preferentially stays close to the dense polymeric region. This observation is further supported by the sharp peaks in the density profile of the probability of radial displacement of the tracer. We discover that the activity plays an important role in deciding the pathway that the tracer takes through the narrow channel. Interestingly, increasing the activity washes out the effect of stickiness. Adding to this, van-Hove functions manifest that the active tracer dynamics deviates from Gaussianity, and the degree of deviation grows with the activity. Our work has direct implications on how effective transportation and delivery of cargo can be achieved through a confined medium where activity, interactions, and crowding are interplaying. Looking ahead, these factors will be crucial for understanding the mechanism of artificial self-powered machines navigating through the cellular channels and performing in vivo challenging tasks.

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Characterising the diffusion of biological nanoparticles on fluid and cross-linked membranes

Abstract: Tracing the motion of macromolecules, viruses, and nanoparticles adsorbed onto cell membranes is currently the most direct way of probing the complex dynamic interactions behind vital biological processes, including cell...

Cited by 13 publications

References 60 publications

Difusi Bebas 1D dan 2D dengan Monte Carlo: Perbandingan Distribusi Bilangan Random Normal dan Seragam dengan Box-Müller

Difusi Bebas 1D dan 2D dengan Monte Carlo: Perbandingan Distribusi Bilangan Random Normal dan Seragam dengan Box-Müller

Transport of a self-propelled tracer through a hairy cylindrical channel: interplay of stickiness and activity

Transport of a self-propelled tracer through a hairy cylindrical channel: interplay of stickiness and activity

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