IDEAS home Printed from https://ideas.repec.org/a/plo/pcbi00/1000122.html
   My bibliography  Save this article

Memory Switches in Chemical Reaction Space

Author

Listed:
  • Naren Ramakrishnan
  • Upinder S Bhalla

Abstract

Just as complex electronic circuits are built from simple Boolean gates, diverse biological functions, including signal transduction, differentiation, and stress response, frequently use biochemical switches as a functional module. A relatively small number of such switches have been described in the literature, and these exhibit considerable diversity in chemical topology. We asked if biochemical switches are indeed rare and if there are common chemical motifs and family relationships among such switches. We performed a systematic exploration of chemical reaction space by generating all possible stoichiometrically valid chemical configurations up to 3 molecules and 6 reactions and up to 4 molecules and 3 reactions. We used Monte Carlo sampling of parameter space for each such configuration to generate specific models and checked each model for switching properties. We found nearly 4,500 reaction topologies, or about 10% of our tested configurations, that demonstrate switching behavior. Commonly accepted topological features such as feedback were poor predictors of bistability, and we identified new reaction motifs that were likely to be found in switches. Furthermore, the discovered switches were related in that most of the larger configurations were derived from smaller ones by addition of one or more reactions. To explore even larger configurations, we developed two tools: the “bistabilizer,” which converts almost-bistable systems into bistable ones, and frequent motif mining, which helps rank untested configurations. Both of these tools increased the coverage of our library of bistable systems. Thus, our systematic exploration of chemical reaction space has produced a valuable resource for investigating the key signaling motif of bistability.Author Summary: How does a cell know what type of cell it is supposed to become? How do external chemical signals change the underlying “state” of the cell? How are response pathways triggered on the application of a stress? Such questions of differentiation, signal transduction, and stress response, while seemingly diverse, all pertain to the storage of state information, or “memory,” by biochemical switches. Just as a computer memory unit can store a bit of 0 or 1 through electrical signals, a biochemical switch can be in one of two states, where chemical signals are on or off. This lets the cell record the presence/absence of an environmental stimulus, the level of a signaling molecule, or the result of a cell fate decision. There are a small number of published ways by which a group of chemical reactions come together to realize a switch. We undertook an exhaustive computational exploration to see if chemical switches are indeed rare and found, surprisingly, that they are actually abundant, highly diverse, but related to one another. Our catalog of switches opens up new bioinformatics approaches to understanding cellular decision making and cellular memory.

Suggested Citation

  • Naren Ramakrishnan & Upinder S Bhalla, 2008. "Memory Switches in Chemical Reaction Space," PLOS Computational Biology, Public Library of Science, vol. 4(7), pages 1-9, July.
  • Handle: RePEc:plo:pcbi00:1000122
    DOI: 10.1371/journal.pcbi.1000122
    as

    Download full text from publisher

    File URL: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000122
    Download Restriction: no

    File URL: https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000122&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pcbi.1000122?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arnold Hayer & Upinder S Bhalla, 2005. "Molecular Switches at the Synapse Emerge from Receptor and Kinase Traffic," PLOS Computational Biology, Public Library of Science, vol. 1(2), pages 1-1, July.
    2. Paul Miller & Anatol M Zhabotinsky & John E Lisman & Xiao-Jing Wang, 2005. "The Stability of a Stochastic CaMKII Switch: Dependence on the Number of Enzyme Molecules and Protein Turnover," PLOS Biology, Public Library of Science, vol. 3(4), pages 1-1, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matthew C Pharris & Neal M Patel & Tyler G VanDyk & Thomas M Bartol & Terrence J Sejnowski & Mary B Kennedy & Melanie I Stefan & Tamara L Kinzer-Ursem, 2019. "A multi-state model of the CaMKII dodecamer suggests a role for calmodulin in maintenance of autophosphorylation," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-26, December.
    2. Hiromu Takizawa & Noriko Hiroi & Akira Funahashi, 2012. "Mathematical Modeling of Sustainable Synaptogenesis by Repetitive Stimuli Suggests Signaling Mechanisms In Vivo," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-22, December.
    3. Mariam Ordyan & Tom Bartol & Mary Kennedy & Padmini Rangamani & Terrence Sejnowski, 2020. "Interactions between calmodulin and neurogranin govern the dynamics of CaMKII as a leaky integrator," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-29, July.
    4. David M Santucci & Sridhar Raghavachari, 2008. "The Effects of NR2 Subunit-Dependent NMDA Receptor Kinetics on Synaptic Transmission and CaMKII Activation," PLOS Computational Biology, Public Library of Science, vol. 4(10), pages 1-16, October.
    5. Rajesh Ramaswamy & Ivo F Sbalzarini & Nélido González-Segredo, 2011. "Noise-Induced Modulation of the Relaxation Kinetics around a Non-Equilibrium Steady State of Non-Linear Chemical Reaction Networks," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-10, January.
    6. Andrew Chay & Ilaria Zamparo & Andreas Koschinski & Manuela Zaccolo & Kim T Blackwell, 2016. "Control of βAR- and N-methyl-D-aspartate (NMDA) Receptor-Dependent cAMP Dynamics in Hippocampal Neurons," PLOS Computational Biology, Public Library of Science, vol. 12(2), pages 1-32, February.
    7. Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
    8. Daniel R Romano & Matthew C Pharris & Neal M Patel & Tamara L Kinzer-Ursem, 2017. "Competitive tuning: Competition's role in setting the frequency-dependence of Ca2+-dependent proteins," PLOS Computational Biology, Public Library of Science, vol. 13(11), pages 1-26, November.
    9. Moritz Deger & Moritz Helias & Stefan Rotter & Markus Diesmann, 2012. "Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex," PLOS Computational Biology, Public Library of Science, vol. 8(9), pages 1-13, September.
    10. Lu Li & Melanie I Stefan & Nicolas Le Novère, 2012. "Calcium Input Frequency, Duration and Amplitude Differentially Modulate the Relative Activation of Calcineurin and CaMKII," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-17, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1000122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.