scholarly journals Decision letter: High-throughput, single-particle tracking reveals nested membrane domains that dictate KRasG12D diffusion and trafficking

2019 ◽  
2019 ◽  
Author(s):  
Yerim Lee ◽  
Carey Phelps ◽  
Tao Huang ◽  
Barmak Mostofian ◽  
Lei Wu ◽  
...  

AbstractMembrane nanodomains have been implicated in Ras signaling, but what these domains are and how they interact with Ras remain obscure. Using high throughput single particle tracking with photoactivated localization microscopy and detailed trajectory analysis, here we show that distinct membrane domains dictate KRas diffusion and trafficking in U2OS cells. KRas exhibits an immobile state in domains ∼70 nm in size, each embedded in a larger domain (∼200 nm) that confers intermediate mobility, while the rest of the membrane supports fast diffusion. Moreover, KRas is continuously removed from the membrane via the immobile state and replenished to the fast state, likely coupled to internalization and recycling. Importantly, both the diffusion and trafficking properties of KRas remain invariant over a broad range of protein expression levels. Our results reveal how membrane organization dictates KRas diffusion and trafficking and offer insight into how Ras signaling may be regulated through spatial mechanisms.


2016 ◽  
Vol 215 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Yu-Mei Huang ◽  
Matthew N. Rasband

What prevents the movement of membrane molecules between axonal and somatodendritic domains is unclear. In this issue, Albrecht et. al. (2016. J. Cell Biol. http://dx.doi.org/10.1083/jcb.201603108) demonstrate via high-speed single-particle tracking and superresolution microscopy that lipid-anchored molecules in the axon initial segment are confined to membrane domains separated by periodically spaced actin rings.


2020 ◽  
Author(s):  
Robert Molenaar ◽  
Swarupa Chatterjee ◽  
Mireille M. A. E Claessens ◽  
Christian Blum

<p>Plastic particles have been found almost everywhere in the environment, in oceans, terrestrial water bodies, sediments and air. The extend of this unwanted contamination is difficult to fully capture. Existing quantification methods focus on the detection of millimeter to micrometer sized plastic particles, while plastic breakdown processes continue to smaller, nanometer sized, particles. For these nanoplastics methods that are inexpensive and can be (semi-) automated for high throughput analysis of dilute nanoplastic particle suspensions, are lacking. ​​​​​​​​​​​​​​Here we combine sensitive fluorescence video microsopy, NileRed staining of plastic particles, and Single Particle Tracking (SPT) to count and size nanoplastics. With this approach we show that particle diameters as low as 40 nm can be extracted, mixing ratios can be recovered, and number concentrations as low as 2·10<sup>6</sup> particles/ml can be determined. These results indicate that this approach is promising for the quantification of sizes and concentrations of nanoplastics in environmental samples.</p>


2020 ◽  
Author(s):  
Robert Molenaar ◽  
Swarupa Chatterjee ◽  
Mireille M. A. E Claessens ◽  
Christian Blum

<p>Plastic particles have been found almost everywhere in the environment, in oceans, terrestrial water bodies, sediments and air. The extend of this unwanted contamination is difficult to fully capture. Existing quantification methods focus on the detection of millimeter to micrometer sized plastic particles, while plastic breakdown processes continue to smaller, nanometer sized, particles. For these nanoplastics methods that are inexpensive and can be (semi-) automated for high throughput analysis of dilute nanoplastic particle suspensions, are lacking. ​​​​​​​​​​​​​​Here we combine sensitive fluorescence video microsopy, NileRed staining of plastic particles, and Single Particle Tracking (SPT) to count and size nanoplastics. With this approach we show that particle diameters as low as 40 nm can be extracted, mixing ratios can be recovered, and number concentrations as low as 2·10<sup>6</sup> particles/ml can be determined. These results indicate that this approach is promising for the quantification of sizes and concentrations of nanoplastics in environmental samples.</p>


eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Yerim Lee ◽  
Carey Phelps ◽  
Tao Huang ◽  
Barmak Mostofian ◽  
Lei Wu ◽  
...  

Membrane nanodomains have been implicated in Ras signaling, but what these domains are and how they interact with Ras remain obscure. Here, using single particle tracking with photoactivated localization microscopy (spt-PALM) and detailed trajectory analysis, we show that distinct membrane domains dictate KRasG12D (an active KRas mutant) diffusion and trafficking in U2OS cells. KRasG12D exhibits an immobile state in ~70 nm domains, each embedded in a larger domain (~200 nm) that confers intermediate mobility, while the rest of the membrane supports fast diffusion. Moreover, KRasG12D is continuously removed from the membrane via the immobile state and replenished to the fast state, reminiscent of Ras internalization and recycling. Importantly, both the diffusion and trafficking properties of KRasG12D remain invariant over a broad range of protein expression levels. Our results reveal how membrane organization dictates membrane diffusion and trafficking of Ras and offer new insight into the spatial regulation of Ras signaling.


Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 498
Author(s):  
Chen Zhang ◽  
Kevin Welsher

In this work, we present a 3D single-particle tracking system that can apply tailored sampling patterns to selectively extract photons that yield the most information for particle localization. We demonstrate that off-center sampling at locations predicted by Fisher information utilizes photons most efficiently. When performing localization in a single dimension, optimized off-center sampling patterns gave doubled precision compared to uniform sampling. A ~20% increase in precision compared to uniform sampling can be achieved when a similar off-center pattern is used in 3D localization. Here, we systematically investigated the photon efficiency of different emission patterns in a diffraction-limited system and achieved higher precision than uniform sampling. The ability to maximize information from the limited number of photons demonstrated here is critical for particle tracking applications in biological samples, where photons may be limited.


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