Literature DB >> 11472773

The role of membrane patch size and flow in regulating a proteolytic feedback threshold on a membrane: possible application in blood coagulation.

E Beltrami1, J Jesty.   

Abstract

Positive feedback controls in proteolytic systems are characterized by thresholds which are regulated by the concentration of the initial stimulus and the kinetic parameters for enzyme generation and inhibition. Significant complexity is added when a positive feedback is localized on a membrane in contact with a flowing medium, such as seen in the early steps of blood coagulation. A partial differential equation model of an archetypal feedback loop is examined in which a proteolytic enzyme catalyzes its own formation from a zymogen on a membrane in contact with a flowing medium. As predicted from prior solution-phase and membrane-phase analyses, the threshold conditions for activation of the system are regulated by the kinetics of enzyme generation and inhibition and by the density of reactant-binding sites on the membrane; but the present analysis also establishes how the feedback threshold is controlled by the flow rate of the adjacent medium and the physical size of the membrane patch on which the feedback loop is localized. For given systems of particular kinetic properties, lower flow rates or larger active patches of membrane can result in the activation threshold being exceeded, whereas higher flow rates or smaller membrane patches can prevent initiation. In addition to numerical simulation, a simplified non-flowing model is analyzed to formulate an approximate mathematical statement of the dependence of the minimum activatable patch size on the kinetic and other parameters.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11472773     DOI: 10.1016/s0025-5564(01)00064-5

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  14 in total

1.  Task-oriented modular decomposition of biological networks: trigger mechanism in blood coagulation.

Authors:  Mikhail A Panteleev; Anna N Balandina; Elena N Lipets; Mikhail V Ovanesov; Fazoil I Ataullakhanov
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

2.  Positive feedback loops for factor V and factor VII activation supply sensitivity to local surface tissue factor density during blood coagulation.

Authors:  A N Balandina; A M Shibeko; D A Kireev; A A Novikova; I I Shmirev; M A Panteleev; F I Ataullakhanov
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

3.  Modular chemical mechanism predicts spatiotemporal dynamics of initiation in the complex network of hemostasis.

Authors:  Christian J Kastrup; Matthew K Runyon; Feng Shen; Rustem F Ismagilov
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-16       Impact factor: 11.205

4.  Using chemistry and microfluidics to understand the spatial dynamics of complex biological networks.

Authors:  Christian J Kastrup; Matthew K Runyon; Elena M Lucchetta; Jessica M Price; Rustem F Ismagilov
Journal:  Acc Chem Res       Date:  2008-01-25       Impact factor: 22.384

5.  Rate of mixing controls rate and outcome of autocatalytic processes: theory and microfluidic experiments with chemical reactions and blood coagulation.

Authors:  Rebecca R Pompano; Hung-Wing Li; Rustem F Ismagilov
Journal:  Biophys J       Date:  2008-04-18       Impact factor: 4.033

6.  A multiscale model of thrombus development.

Authors:  Zhiliang Xu; Nan Chen; Malgorzata M Kamocka; Elliot D Rosen; Mark Alber
Journal:  J R Soc Interface       Date:  2008-07-06       Impact factor: 4.118

7.  Threshold of microvascular occlusion: injury size defines the thrombosis scenario.

Authors:  Aleksey V Belyaev; Mikhail A Panteleev; Fazly I Ataullakhanov
Journal:  Biophys J       Date:  2015-07-21       Impact factor: 4.033

8.  Grow with the flow: a spatial-temporal model of platelet deposition and blood coagulation under flow.

Authors:  Karin Leiderman; Aaron L Fogelson
Journal:  Math Med Biol       Date:  2010-05-03       Impact factor: 1.854

Review 9.  Blood flow and mass transfer regulation of coagulation.

Authors:  Kuldeepsinh Rana; Keith B Neeves
Journal:  Blood Rev       Date:  2016-04-29       Impact factor: 8.250

10.  Blood flow controls coagulation onset via the positive feedback of factor VII activation by factor Xa.

Authors:  Alexey M Shibeko; Ekaterina S Lobanova; Mikhail A Panteleev; Fazoil I Ataullakhanov
Journal:  BMC Syst Biol       Date:  2010-01-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.