Dynamical behaviour of biological regulatory networks--I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state
- PMID: 7703920
- DOI: 10.1007/BF02460618
Dynamical behaviour of biological regulatory networks--I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state
Abstract
In the field of biological regulation, models dictated by experimental work are usually complex networks comprising intertwined feedback loops. In this paper the biological roles of individual positive loops (multistationarity, differentiation) and negative loops (homeostasis, with or without oscillations, buffering of gene dosage effect) are discussed. The relationship between feedback loops and steady states is then clarified, and the problem: "How can one conveniently disentangle complex networks?" is then considered. Initiated long ago, logical descriptions have been generalized from various viewpoints; these developments are briefly discussed. The recent concept of the loop-characteristic state, defined as the logical state located at the level of the thresholds involved in the loop, together with its application, are then presented. Biological applications are also discussed.
Similar articles
-
Identification, visualization, statistical analysis and mathematical modeling of high-feedback loops in gene regulatory networks.BMC Bioinformatics. 2021 Oct 4;22(1):481. doi: 10.1186/s12859-021-04405-z. BMC Bioinformatics. 2021. PMID: 34607562 Free PMC article.
-
A minimal mathematical model combining several regulatory cycles from the budding yeast cell cycle.IET Syst Biol. 2007 Nov;1(6):326-41. doi: 10.1049/iet-syb:20070018. IET Syst Biol. 2007. PMID: 18203579
-
On the functional diversity of dynamical behaviour in genetic and metabolic feedback systems.BMC Syst Biol. 2009 May 11;3:51. doi: 10.1186/1752-0509-3-51. BMC Syst Biol. 2009. PMID: 19432996 Free PMC article.
-
Positive feedback circuits and memory.C R Acad Sci III. 2000 Jan;323(1):69-79. doi: 10.1016/s0764-4469(00)00112-8. C R Acad Sci III. 2000. PMID: 10742912 Review.
-
Emergence of complex behaviour from simple circuit structures.C R Biol. 2003 Feb;326(2):205-14. doi: 10.1016/s1631-0691(03)00063-5. C R Biol. 2003. PMID: 12754938 Review.
Cited by
-
Expanding the concepts and tools of metabolic engineering to elucidate cancer metabolism.Biotechnol Prog. 2012 Nov-Dec;28(6):1409-18. doi: 10.1002/btpr.1629. Epub 2012 Oct 18. Biotechnol Prog. 2012. PMID: 22961737 Free PMC article. Review.
-
Predicting missing expression values in gene regulatory networks using a discrete logic modeling optimization guided by network stable states.Nucleic Acids Res. 2013 Jan 7;41(1):e8. doi: 10.1093/nar/gks785. Epub 2012 Aug 31. Nucleic Acids Res. 2013. PMID: 22941654 Free PMC article.
-
High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology.BMC Syst Biol. 2018 Jul 17;12(1):76. doi: 10.1186/s12918-018-0599-1. BMC Syst Biol. 2018. PMID: 30016990 Free PMC article.
-
The role of coupled positive feedback in the expression of the SPI1 type three secretion system in Salmonella.PLoS Pathog. 2010 Jul 29;6(7):e1001025. doi: 10.1371/journal.ppat.1001025. PLoS Pathog. 2010. PMID: 20686667 Free PMC article.
-
Qualitative networks: a symbolic approach to analyze biological signaling networks.BMC Syst Biol. 2007 Jan 8;1:4. doi: 10.1186/1752-0509-1-4. BMC Syst Biol. 2007. PMID: 17408511 Free PMC article.
References
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources