scholarly journals Emergent order in hydrodynamic spin lattices

Nature ◽  
2021 ◽  
Vol 596 (7870) ◽  
pp. 58-62
Author(s):  
Pedro J. Sáenz ◽  
Giuseppe Pucci ◽  
Sam E. Turton ◽  
Alexis Goujon ◽  
Rodolfo R. Rosales ◽  
...  
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2018 ◽  
Vol 3 (10) ◽  
Author(s):  
Pedro J. Sáenz ◽  
Giuseppe Pucci ◽  
Alexis Goujon ◽  
Tudor Cristea-Platon ◽  
Jörn Dunkel ◽  
...  
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2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Joris J. B. Messelink ◽  
Muriel C. F. van Teeseling ◽  
Jacqueline Janssen ◽  
Martin Thanbichler ◽  
Chase P. Broedersz

AbstractThe order and variability of bacterial chromosome organization, contained within the distribution of chromosome conformations, are unclear. Here, we develop a fully data-driven maximum entropy approach to extract single-cell 3D chromosome conformations from Hi–C experiments on the model organism Caulobacter crescentus. The predictive power of our model is validated by independent experiments. We find that on large genomic scales, organizational features are predominantly present along the long cell axis: chromosomal loci exhibit striking long-ranged two-point axial correlations, indicating emergent order. This organization is associated with large genomic clusters we term Super Domains (SuDs), whose existence we support with super-resolution microscopy. On smaller genomic scales, our model reveals chromosome extensions that correlate with transcriptional and loop extrusion activity. Finally, we quantify the information contained in chromosome organization that may guide cellular processes. Our approach can be extended to other species, providing a general strategy to resolve variability in single-cell chromosomal organization.


Entropy ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. 1095
Author(s):  
Andrew J. E. Seely

Understanding how nature drives entropy production offers novel insights regarding patient care. Whilst energy is always preserved and energy gradients irreversibly dissipate (thus producing entropy), increasing evidence suggests that they do so in the most optimal means possible. For living complex non-equilibrium systems to create a healthy internal emergent order, they must continuously produce entropy over time. The Maximum Entropy Production Principle (MEPP) highlights nature’s drive for non-equilibrium systems to augment their entropy production if possible. This physical drive is hypothesized to be responsible for the spontaneous formation of fractal structures in space (e.g., multi-scale self-similar tree-like vascular structures that optimize delivery to and clearance from an organ system) and time (e.g., complex heart and respiratory rate variability); both are ubiquitous and essential for physiology and health. Second, human entropy production, measured by heat production divided by temperature, is hypothesized to relate to both metabolism and consciousness, dissipating oxidative energy gradients and reducing information into meaning and memory, respectively. Third, both MEPP and natural selection are hypothesized to drive enhanced functioning and adaptability, selecting states with robust basilar entropy production, as well as the capacity to enhance entropy production in response to exercise, heat stress, and illness. Finally, a targeted focus on optimizing our patients’ entropy production has the potential to improve health and clinical outcomes. With the implications of developing a novel understanding of health, illness, and treatment strategies, further exploration of this uncharted ground will offer value.


2016 ◽  
Vol 93 (4) ◽  
Author(s):  
Sumantra Sarkar ◽  
Dapeng Bi ◽  
Jie Zhang ◽  
Jie Ren ◽  
R. P. Behringer ◽  
...  
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2016 ◽  
Vol 55 (18) ◽  
pp. 9240-9249 ◽  
Author(s):  
Liurukara. D. Sanjeewa ◽  
Michael A. McGuire ◽  
Colin D. McMillen ◽  
Daniel Willett ◽  
George Chumanov ◽  
...  
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2010 ◽  
Vol 81 (13) ◽  
Author(s):  
Hui Xing ◽  
Mi He ◽  
Chunmu Feng ◽  
Hanjie Guo ◽  
Hao Zeng ◽  
...  

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