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Research Article

Academia Journal of Scientific Research 8(11): 342-353, November 2020
DOI: 10.15413/ajsr.2020.0145
ISSN 2315-7712
2020 Academia Publishing

Abstract


Manifold learning on single-molecule trajectories of receptor proteins in the plasma membranes of living cells
 

 

Accepted 20th November, 2020

Jung Y. Huang

The T.K.B. Research Center for Photonics, Chiao Tung University, 1001 Ta-Hsueh Road, Hsinchu 300, Taiwan.

Retrieving valuable information from a large trajectory dataset is an important issue in single-molecule imaging and tracking. To help retrieve such information, it was developed two data analysis techniques that yield a better view of the diffusive motion of receptor proteins in live cells. It was shown that a contour plot on the plane of normalized variance and local mean-squared displacements can reveal the type of force and the distribution of hidden states encountered by receptor proteins in an inhomogeneous cellular environment. A spectral embedding analysis (SEA) provides further information about the diffusive eigenmodes of the molecules of interest. The combination of these two methods (a contour plot and SEA) enabled us to examine the detailed motion of liganded epidermal growth factor receptors (EGFRs) in live cells. It was found that two neighboring activated EGFRs moved correlatively with interaction that was regulated by membrane cholesterol. The SEA result of the present study showed that those correlated EGFRs may diffuse in a unidirectional force field, presumably stemming from the combined influence of the dynamic self-organizing actomyosin network and flows. The link of signal-transducing proteins, such as EGFRs, with active processes of actomyosin may offer additional insights into the regulation of cellular signaling processes.

Key words: Single-molecule imaging, trajectory, Langevin equation, mean-squared displacement, spectral embedding, epidermal growth factor receptor, correlated motion, cellular signaling.
 

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article as:

Huang JY (2020). Manifold learning on single-molecule trajectories of receptor proteins in the plasma membranes of living cells. Acad. J. Sci. Res. 8(11): 342-353.

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