Single particle dynamics of supercooled water and the kinetic glass transition

Plant plasma-membrane (PM) proteins are involved in several vital processes, such as detection of pathogens, solute transport, and cellular signaling. For these proteins to function effectively there needs to be structure within the PM allowing, for example, proteins in the same signaling cascade to be spatially organized. Here we demonstrate that several proteins with divergent functions are located in clusters of differing size in the membrane using subdiffraction-limited Airyscan confocal microscopy. Single particle tracking reveals that these proteins move at different rates within the membrane. Actin and microtubule cytoskeletons appear to significantly regulate the mobility of one of these proteins (the pathogen receptor FLS2) and we further demonstrate that the cell wall is critical for the regulation of cluster size by quantifying single particle dynamics of proteins with key roles in morphogenesis (PIN3) and pathogen perception (FLS2). We propose a model in which the cell wall and cytoskeleton are pivotal for regulation of protein cluster size and dynamics, thereby contributing to the formation and functionality of membrane nanodomains.

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Hamiltonian Formulation of Single Particle Dynamics

Contemporary Accelerator Physics ◽

10.1142/9789812794734_0001 ◽

2004 ◽

pp. 1-16

Keyword(s):

Single Particle ◽

Hamiltonian Formulation ◽

Particle Dynamics

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Crossover from picosecond collective to single particle dynamics defines the mechanism of lateral lipid diffusion

Biochimica et Biophysica Acta (BBA) - Biomembranes ◽

10.1016/j.bbamem.2018.07.004 ◽

2018 ◽

Vol 1860 (11) ◽

pp. 2446-2455 ◽

Cited By ~ 8

Author(s):

Dima Bolmatov ◽

Yong Q. Cai ◽

Dmitry Zav’yalov ◽

Mikhail Zhernenkov

Keyword(s):

Single Particle ◽

Particle Dynamics ◽

Lipid Diffusion

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Experience with online modeling tools during the CBETA fractional arc test and single pass commissioning

International Journal of Modern Physics A ◽

10.1142/s0217751x19420399 ◽

2019 ◽

Vol 34 (36) ◽

pp. 1942039

Author(s):

C. Gulliford ◽

D. Sagan ◽

A. Bartnik ◽

J. Dobbins ◽

J. S. Berg ◽

...

Keyword(s):

Control System ◽

Single Particle ◽

Energy Recovery ◽

Particle Dynamics ◽

Initial Experience ◽

Online Program ◽

Modeling Tools ◽

Online Modeling ◽

Energy Recovery Linac ◽

Pass Energy

The Cornell-Brookhaven CBETA machine is a four-pass Energy Recovery Linac (ERL) with a Non-scaling Fixed-Field Alternating gradient (NS-FFA) arc. For online modeling of single particle dynamics in CBETA, a customized version of the Tao program, which is based upon the Bmad toolkit, has been developed. This online program, called CBETA-V, is interfaced to CBETA’s EPICS control system. This work describes the online modeling system and initial experience during machine running, as well as subsequent developments since its first implementation.

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