Effect of inhibitory firing patterns on the stochastic resonance in feed-forward-loop neuronal network motifs

Author(s):  
Shan Liu ◽  
Xinmeng Guo ◽  
Guosheng Yi ◽  
Zhenxi Song ◽  
Jiang Wang
2015 ◽  
Vol 16 (S1) ◽  
Author(s):  
Ali Calim ◽  
Ugur Ileri ◽  
Muhammet Uzuntarla ◽  
Mahmut Ozer

2017 ◽  
Author(s):  
Thomas E. Gorochowski ◽  
Claire S. Grierson ◽  
Mario di Bernardo

AbstractNetwork motifs are significantly expressed sub-graphs that have been proposed as building blocks for natural and engineered networks. Detailed functional analysis has been performed for many types of motif in isolation, but less is known about how motifs work together to perform complex tasks. To address this issue we measure the aggregation of network motifs via methods that extract precisely how these structures are connected. Applying this approach to a broad spectrum of networked systems and focusing on the widespread feed-forward loop motif, we uncover striking differences in motif organisation. The types of connection are often highly constrained, differ between domains, and clearly capture architectural principles. We show how this information can be used to effectively predict functionally important nodes in the metabolic network ofEscherichia coli. Our findings have implications for understanding how networked systems are constructed from motif parts and elucidates constraints that guide their evolution.


2018 ◽  
Author(s):  
Alberto Carignano ◽  
Sumit Mukherjee ◽  
Abhyudai Singh ◽  
Georg Seelig

AbstractMicroRNA mediated incoherent feed forward loops (IFFLs) are recurrent network motifs in mammalian cells and have been a topic of study for their noise rejection and buffering properties. Previous work showed that IFFLs can adapt to varying promoter activity and are less prone to noise than similar circuits without the feed forward loop. Furthermore, it has been shown that microRNAs are better at rejecting extrinsic noise than intrinsic noise. This work studies the biological mechanisms that lead to extrinsic noise rejection for microRNA mediated feed forward network motifs. Specifically, we compare the effects of microRNA-induced mRNA degradation and translational inhibition on extrinsic noise rejection, and identify the parameter regimes where noise is most efficiently rejected. In the case of static extrinsic noise, we find that translational inhibition can expand the regime of extrinsic noise rejection. We then analyze rejection of dynamic extrinsic noise in the case of a single-gene feed forward loop (sgFFL), a special case of the IFFL motif where the microRNA and target mRNA are co-expressed. For this special case, we demonstrate that depending on the time-scale of fluctuations in the extrinsic variable compared to the mRNA and microRNA decay rates, the feed forward loop can both buffer or amplify fluctuations in gene product copy numbers.


Author(s):  
Pascal A. Pieters ◽  
Bryan L. Nathalia ◽  
Ardjan J. van der Linden ◽  
Peng Yin ◽  
Jongmin Kim ◽  
...  

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