Positive feedback loops are common regulatory elements in metabolic
and protein signalling pathways. The length of such feedback loops deter-
mines stability and sensitivity to network perturbations. Here we provide a
mathematical analysis of arbitrary length positive feedback loops with protein
production and degradation. These loops serve as an abstraction of typical
regulation patterns in protein signalling pathways. We first perform a steady
state analysis and, independently of the chain length, identify exactly two
steady states that represent either biological activity or inactivity. We thereby
provide two formulas for the steady state protein concentrations as a function
of feedback length, strength of feedback, as well as protein production and
degradation rates. Using a control theory approach, analysing the frequency
response of the linearisation of the system and exploiting the Small Gain The-
orem, we provide conditions for local stability for both steady states. Our
results demonstrate that, under some parameter relationships, once a biolog-
ical meaningful on steady state arises, it is stable, while the off steady state,
where all proteins are inactive, becomes unstable. We apply our results to a
three-tier feedback of caspase activation in apoptosis and demonstrate how an intermediary protein in such a loop may be used as a signal amplifier within
the cascade. Our results provide a rigorous mathematical analysis of positive
feedback chains of arbitrary length, thereby relating pathway structure and
stability.
Ireland ->
Maynooth University ->
Academic Unit = Faculty of Science and Engineering: Research Institutes
Ireland ->
Maynooth University ->
Type = Article
Ireland ->
Maynooth University ->
Academic Unit = Faculty of Science and Engineering
Ireland ->
Maynooth University ->
Academic Unit = Faculty of Science and Engineering: Research Institutes: Hamilton Institute
Ireland ->
Maynooth University ->
Status = Published
Ireland ->
Maynooth University ->
Open Access DRIVERset
Heinrich J. Huber,
Richard H. Middleton,
Fernando Lopez-Caamal