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Cited by 192Ion channel regulation and functionNeural dynamics and brain functionstochastic dynamics and bifurcation

Correlations in ion channel expression emerge from homeostatic tuning rules

Open access
O'Leary, Timothy, Williams, Alex H., Caplan, Jonathan S., Marder, Eve·2013·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.1309966110PMC PMC3710808
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Abstract

Significance: A deep puzzle in neuroscience is how neurons maintain their electrical properties despite continuous ion channel turnover and activity perturbations. Previous work proposed that activity-dependent homeostatic rules ensure robust development of excitability by regulating channel density, although it is not understood how these rules shape the distribution of ion channel types nor how finely tuned these rules must be. We show that generic homeostatic regulation rules impose correlations in the steady-state distribution of ion channels, as has been recently observed experimentally. Specific correlations depend on relative expression rates, and the regulation rules themselves are far more robust than previously thought.

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  • It is common for investigators to look for correlations between the expression of individual components or features to obtain insight into how individual system components contribute to system behavior.

    “It is common for investigators to look for correlations between the expression of individual components or features to obtain insight into how individual system components contribute to system behavior [26,[60][61][62].”

    From A feature and not a bug: Replication failures can lead to new biology (2026) · cites this paper as [60]

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Authors
O'Leary, T., Williams, A. H., Caplan, J. S., & Marder, E.
Affiliations
  • Volen Center for Complex Systems, Department of Biology, Brandeis University, Waltham, MA 02454
  • Brandeis University (US)
ORCID
Venue
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Published
2013-06-24
Volume
110
Issue
28
Pages
E2645-54
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.1309966110
PMC
PMC3710808
OpenAlex
W1973517385
Cited by
192
References
3
Citations by year
2026: 4 · 2025: 13 · 2024: 10 · 2023: 14 · 2022: 12 · 2021: 15 · 2020: 11 · 2019: 20 · 2018: 25 · 2017: 10 · 2016: 16 · 2015: 22 · 2014: 19
FWCI
7.16
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Cambridge University Engineering Department Publications Database (submittedVersion)
  • Apollo (University of Cambridge) (submittedVersion)
  • Apollo
Funders
  • National Institutes of Health (MH 46742)
  • National Institute of Mental Health (T32MH019929, MH 46742, R37MH046742, R01MH046742)
  • National Institute on Drug Abuse (T90DA032435)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
Keywords
ion channel expression, homeostatic regulation, neural variability, degeneracy, neuronal electrical properties
MeSH terms
Action Potentials, Homeostasis, Ion Channels, Models, Biological, Neurons

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