Conceptual and Experimental Tools to Understand Spatial Effects and Transport Phenomena in Nonlinear Biochemical Networks Illustrated with Patchy Switching
Abstract
Many biochemical systems are spatially heterogeneous and exhibit nonlinear behaviors, such as state switching in response to small changes in the local concentration of diffusible molecules. Systems as varied as blood clotting, intracellular calcium signaling, and tissue inflammation are all heavily influenced by the balance of rates of reaction and mass transport phenomena including flow and diffusion. Transport of signaling molecules is also affected by geometry and chemoselective confinement via matrix binding. In this review, we use a phenomenon referred to as patchy switching to illustrate the interplay of nonlinearities, transport phenomena, and spatial effects. Patchy switching describes a change in the state of a network when the local concentration of a diffusible molecule surpasses a critical threshold. Using patchy switching as an example, we describe conceptual tools from nonlinear dynamics and chemical engineering that make testable predictions and provide a unifying description of the myriad possible experimental observations. We describe experimental microfluidic and biochemical tools emerging to test conceptual predictions by controlling transport phenomena and spatial distribution of diffusible signals, and we highlight the unmet need for in vivo tools.
Additional Information
© 2017 Annual Reviews. This work was supported in part by a National Institutes of Health Director's Pioneer Award (DP10D003584, R.F.I.), a Jacobs Institute for Molecular Engineering for Medicine Award (R.F.I.), a National Science Foundation Emerging Frontiers in Research and Innovation Award (1137089, R.F.I.), an Individual Biomedical Research Award from The Hartwell Foundation (R.R.P.), and a Canadian Institutes of Health Research Award (MSH-130166, C.J.K.). We thank Natasha Shelby for contributions to writing and editing this manuscript. The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review.Files
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Additional details
- Eprint ID
- 78633
- Resolver ID
- CaltechAUTHORS:20170628-083437438
- PMCID
- PMC10852032
- DOI
- 10.1146/annurev-biochem-060815-014207
- NIH
- DP10D003584
- Jacobs Institute for Molecular Engineering for Medicine
- NSF
- EFMA-1137089
- Hartwell Foundation
- Canadian Institutes of Health
- MSH-130166
- Created
-
2017-06-28Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field
- Caltech groups
- Jacobs Institute for Molecular Engineering for Medicine