Bifurcation analysis of a modular model of embryonic kidney development

Many biological processes show switching behaviors in response to parameter changes. Although numerous surveys have been conducted on bifurcations in biological systems, they commonly focus on over-represented parts of signaling cascades, known as motifs, ignoring the multi-motif structure of biological systems and the communication links between these building blocks. In this paper, a method is proposed which partitions molecular interactions to modules based on a control theory point of view. The modules are defined so that downstream effect of one module is a regulator for its neighboring modules. Communication links between these modules are then considered as bifurcation parameters to reveal change in steady state status of each module. As a case-study, we generated a molecular interaction map of signaling molecules during the development of mammalian embryonic kidneys. The whole system was divided to modules, where each module is defined as a group of interacting molecules that result in expression of a vital downstream regulator. Bifurcation analysis was then performed on these modules by considering the communication signals as bifurcation parameters. Two-parameter bifurcation analysis was then performed to assess the effects of simultaneous input signals on each module behavior. In the case where a module had more than two inputs, a series of two parameter bifurcation diagrams were calculated each corresponding to different values of the third parameter. We detected multi-stability for RET which its different activity levels have been suggested to affect cell arrangement in nephric duct, tip and trunk of the bud in embryonic kidney. These results are in agreement with experimental data indicating that cells involved in Embryonic kidney development are bi-potential and they form tip or trunk of the bud based on their RET activity level. Our findings also indicate that Glial cell-derived neurotrophic factor (GDNF), a known potent regulator of kidney development, exerts its fate-determination function on cell placement through destruction of saddle node bifurcation points in RET steady states and confining RET activity level to high activity. In conclusion, embryonic cells usually show a huge decision making potential; the proposed modular modeling of the system in association with bifurcation analysis provides a quantitative holistic view of organ development.

[1]  Pablo Villoslada,et al.  Transient oscillatory dynamics of interferon beta signaling in macrophages , 2013, BMC Systems Biology.

[2]  Eduardo Sontag,et al.  Untangling the wires: A strategy to trace functional interactions in signaling and gene networks , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[3]  F. Costantini GDNF/Ret signaling and renal branching morphogenesis , 2010, Organogenesis.

[4]  S. Wiggins Introduction to Applied Nonlinear Dynamical Systems and Chaos , 1989 .

[5]  K. Reidy,et al.  Cell and molecular biology of kidney development. , 2009, Seminars in nephrology.

[6]  F. Costantini,et al.  The role of GDNF/Ret signaling in ureteric bud cell fate and branching morphogenesis. , 2005, Developmental cell.

[7]  S. Bleyl,et al.  Development of the Urogenital System , 2009 .

[8]  J. Tyson,et al.  Bistability, Oscillations, and Traveling Waves in Frog Egg Extracts , 2015, Bulletin of mathematical biology.

[9]  Jing Yu,et al.  The ureteric bud epithelium: Morphogenesis and roles in metanephric kidney patterning , 2015, Molecular reproduction and development.

[10]  Bard Ermentrout,et al.  Simulating, analyzing, and animating dynamical systems - a guide to XPPAUT for researchers and students , 2002, Software, environments, tools.

[11]  Odyssé Michos Kidney development: from ureteric bud formation to branching morphogenesis. , 2009, Current opinion in genetics & development.

[12]  Alexander G. Fletcher,et al.  An extended model for culture-dependent heterogenous gene expression and proliferation dynamics in mouse embryonic stem cells , 2017, npj Systems Biology and Applications.

[13]  Complex dynamics in biological systems arising from multiple limit cycle bifurcation , 2016, Journal of biological dynamics.

[14]  F. Costantini,et al.  The transcription factors Etv4 and Etv5 mediate formation of the ureteric bud tip domain during kidney development , 2010, Development.

[15]  Jinde Cao,et al.  Hopf bifurcation analysis in a fractional-order survival red blood cells model and PDα$\mathit{PD}^{\alpha} $ control , 2018 .

[16]  Walter de Back,et al.  Transdifferentiation of pancreatic cells by loss of contact-mediated signaling , 2013, BMC Systems Biology.

[17]  John J Tyson,et al.  Functional motifs in biochemical reaction networks. , 2010, Annual review of physical chemistry.

[18]  Jacob G Foster,et al.  A model of sequential branching in hierarchical cell fate determination. , 2009, Journal of theoretical biology.

[19]  Lutz Brusch,et al.  On the role of lateral stabilization during early patterning in the pancreas , 2013, Journal of The Royal Society Interface.

[20]  F. Costantini,et al.  Patterning a complex organ: branching morphogenesis and nephron segmentation in kidney development. , 2010, Developmental cell.

[21]  T.W.Sadler Langman's Medical Embryology , 1969 .

[22]  A. McMahon,et al.  Mammalian kidney development: principles, progress, and projections. , 2012, Cold Spring Harbor perspectives in biology.

[23]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[24]  Peter Szmolyan,et al.  Geometric analysis of the Goldbeter minimal model for the embryonic cell cycle , 2016, Journal of mathematical biology.

[25]  Lutz Brusch,et al.  Predicting Pancreas Cell Fate Decisions and Reprogramming with a Hierarchical Multi-Attractor Model , 2011, PloS one.

[26]  Lilia Alberghina,et al.  The modular systems biology approach to investigate the control of apoptosis in Alzheimer's disease neurodegeneration , 2006, BMC Neuroscience.

[27]  Ingo Roeder,et al.  Nanog Variability and Pluripotency Regulation of Embryonic Stem Cells - Insights from a Mathematical Model Analysis , 2010, PloS one.