scholarly journals A coherent feed‐forward loop with a SUM input function prolongs flagella expression in Escherichia coli

2005 ◽  
Vol 1 (1) ◽  
Author(s):  
Shiraz Kalir ◽  
Shmoolik Mangan ◽  
Uri Alon
Keyword(s):  
Escherichia Coli ◽  
Input Function ◽  
Feed Forward ◽  
Feed Forward Loop ◽  
Expression In Escherichia Coli

scholarly journals A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake

2008 ◽  
Vol 24 (5) ◽  
pp. 704-710 ◽  
Author(s):  
A. Kremling ◽  
K. Bettenbrock ◽  
E. D. Gilles
Keyword(s):  
Escherichia Coli ◽  
Feed Forward ◽  
Feed Forward Loop

The Incoherent Feed-forward Loop Accelerates the Response-time of the gal System of Escherichia coli

2006 ◽  
Vol 356 (5) ◽  
pp. 1073-1081 ◽  
Author(s):  
S. Mangan ◽  
S. Itzkovitz ◽  
A. Zaslaver ◽  
U. Alon
Keyword(s):  
Escherichia Coli ◽  
Response Time ◽  
Feed Forward ◽  
Feed Forward Loop

scholarly journals Organisation of feed-forward loop motifs reveals architectural principles in natural and engineered networks

2017 ◽  
Author(s):  
Thomas E. Gorochowski ◽  
Claire S. Grierson ◽  
Mario di Bernardo
Keyword(s):  
Escherichia Coli ◽  
Functional Analysis ◽  
Broad Spectrum ◽  
Building Blocks ◽  
Networked Systems ◽  
Network Motifs ◽  
Feed Forward ◽  
Feed Forward Loop ◽  
Architectural Principles ◽  
Important Nodes

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.

Sign in / Sign up

Export Citation Format

Share Document