Related Experiment Video
Updated: May 27, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
Published on: March 10, 2011
Regulatory Effects of Cooperativity and Signal Profile on Adaptive Dynamics in Incoherent Feedforward Loop Networks
Necmettin Yildirim1, Thomas Brew2, Ahmet Ay3
1Division of Natural Sciences, New College of Florida, Sarasota, FL, USA.
Cooperativity significantly impacts how biological systems adapt to signals. Positive cooperativity generally improves adaptation, but specific signal types and high levels can hinder it, while negative cooperativity disrupts adaptation.
Area of Science:
- Systems biology
- Molecular biology
- Biophysics
Background:
- Cellular adaptation to external signals is crucial for biological functions.
- The Incoherent Feedforward Loop (IFFL) network motif is a fundamental biological circuit.
- Understanding regulatory network dynamics is key in systems biology.
Purpose of the Study:
- To investigate the effect of cooperativity on the adaptation response of the IFFL network motif.
- To analyze IFFL responses to constant and pulse-type signals under varying cooperativity levels.
- To elucidate the interplay between cooperativity and signal profiles in cellular adaptation.
Main Methods:
- Computational simulations were employed to model the IFFL network.
- The study analyzed responses to different signal profiles (constant and pulse-type).
- Varying levels of cooperativity (positive and negative) were systematically explored.
Main Results:
- Positive cooperativity generally enhances IFFL adaptation to diverse signal profiles.
- High positive cooperativity can decrease adaptability for specific signals.
- Negative cooperativity leads to a breakdown of the adaptive response.
- Cooperativity affects response amplitude, speed, and return times to the pre-stimulus state.
- For pulse signals, cooperativity amplifies the oscillatory response amplitude.
Conclusions:
- Cooperativity plays a critical role in modulating the adaptive capabilities of IFFL networks.
- The impact of cooperativity is highly dependent on the specific signal profile.
- These findings offer insights into the design principles of biological regulatory networks.
More Related Videos
11:54Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
Related Concept Videos
Cooperative Allosteric Transitions
Cell Signaling Feedback Loops
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Effects of feedback
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Positive and Negative Feedback Loops
Root Loci for Positive-Feedback Systems
The construction rules for the root locus in positive feedback systems are similar to those in...