A bi-stable neuronal model of Gibbs distribution

2015 ◽  
Vol 429 ◽  
pp. 118-124
Author(s):  
Eitan Gross
2016 ◽  
Author(s):  
Daniele Quintella Mendes ◽  
Luís Alfredo V. Carvalho ◽  
Roseli S. Wedemann
Keyword(s):  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chialin Cheng ◽  
Surya A. Reis ◽  
Emily T. Adams ◽  
Daniel M. Fass ◽  
Steven P. Angus ◽  
...  

AbstractMutations in MAPT (microtubule-associated protein tau) cause frontotemporal dementia (FTD). MAPT mutations are associated with abnormal tau phosphorylation levels and accumulation of misfolded tau protein that can propagate between neurons ultimately leading to cell death (tauopathy). Recently, a p.A152T tau variant was identified as a risk factor for FTD, Alzheimer's disease, and synucleinopathies. Here we used induced pluripotent stem cells (iPSC) from a patient carrying this p.A152T variant to create a robust, functional cellular assay system for probing pathophysiological tau accumulation and phosphorylation. Using stably transduced iPSC-derived neural progenitor cells engineered to enable inducible expression of the pro-neural transcription factor Neurogenin 2 (Ngn2), we generated disease-relevant, cortical-like glutamatergic neurons in a scalable, high-throughput screening compatible format. Utilizing automated confocal microscopy, and an advanced image-processing pipeline optimized for analysis of morphologically complex human neuronal cultures, we report quantitative, subcellular localization-specific effects of multiple kinase inhibitors on tau, including ones under clinical investigation not previously reported to affect tau phosphorylation. These results demonstrate the potential for using patient iPSC-derived ex vivo models of tauopathy as genetically accurate, disease-relevant systems to probe tau biochemistry and support the discovery of novel therapeutics for tauopathies.


2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Alessandra Lucchetti ◽  
Mogens H. Jensen ◽  
Mathias L. Heltberg

2012 ◽  
Vol 49 (03) ◽  
pp. 612-626
Author(s):  
Boris L. Granovsky ◽  
Alexander V. Kryvoshaev

We prove that a stochastic process of pure coagulation has at any timet≥ 0 a time-dependent Gibbs distribution if and only if the rates ψ(i,j) of single coagulations are of the form ψ(i;j) =if(j) +jf(i), wherefis an arbitrary nonnegative function on the set of positive integers. We also obtain a recurrence relation for weights of these Gibbs distributions that allow us to derive the general form of the solution and the explicit solutions in three particular cases of the functionf. For the three corresponding models, we study the probability of coagulation into one giant cluster by timet> 0.


2006 ◽  
Vol 929 (1) ◽  
pp. 152-165 ◽  
Author(s):  
STANISLAS DEHAENE ◽  
MICHEL KERSZBERG ◽  
JEAN-PIERRE CHANGEUX

2002 ◽  
Vol 17 (S3) ◽  
pp. S49-S62 ◽  
Author(s):  
Jerrold L. Vitek
Keyword(s):  

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