Intracellular reactions are intrinsically stochastic. Nonetheless, cells can reliably respond to the changing environment by sensing their target molecules sensitively and specifically, even with the existence of abundant structurally-similar non-target molecules. The mechanism of how the cells can balance and achieve such different characteristics is not yet fully understood. In this work, we demonstrate that these characteristics can be attained by a ligand-induced stochastic cluster formation of receptors via the noise-induced symmetry breaking, in which the intrinsic stochasticity works to enhance sensitivity and specificity. We also show that the noise-induced cluster formation enables cells to detect the target ligand reliably by compensating the abundant non-target ligands in the environment. The proposed mechanism may lead to a deeper understanding of a biological function of the receptor clustering and provide an alternative candidate for the reliable ligand detection to the kinetic proofreading.
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January 2020
Research Article|
January 24 2020
Reliable target ligand detection by noise-induced receptor cluster formation
Masashi K. Kajita
;
Masashi K. Kajita
a)
1
Institute of Industrial Science, The University of Tokyo
, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
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Kazuyuki Aihara
;
Kazuyuki Aihara
1
Institute of Industrial Science, The University of Tokyo
, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
2
International Research Center for Neurointelligence (IRCN), The University of Tokyo
, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
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Tetsuya J. Kobayashi
Tetsuya J. Kobayashi
1
Institute of Industrial Science, The University of Tokyo
, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
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a)
Author to whom correspondence should be addressed: mkajita@sat.t.u-tokyo.ac.jp
Chaos 30, 011104 (2020)
Article history
Received:
December 03 2019
Accepted:
December 27 2019
Citation
Masashi K. Kajita, Kazuyuki Aihara, Tetsuya J. Kobayashi; Reliable target ligand detection by noise-induced receptor cluster formation. Chaos 1 January 2020; 30 (1): 011104. https://doi.org/10.1063/1.5140714
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