ArticleJournal of neurophysiology2012
Neuromodulation independently determines correlated channel expression and conductance levels in motor neurons of the stomatogastric ganglion.
Article in Journal of neurophysiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed, 106 citations in OpenAlex.
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- Neuron populations use variable combinations of short-term feedback mechanisms to stabilize firing rate.PLoS biology · 2023Article
- Oscillatory network spontaneously recovers both activity and robustness after prolonged removal of neuromodulators.Frontiers in cellular neuroscience · 2023Article
- Thermal acclimation and habitat-dependent differences in temperature robustness of a crustacean motor circuit.Frontiers in cellular neuroscience · 2023Article
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- Characterization of laryngeal motor neuron properties in the American bullfrog, Lithobates catesbieanus.Respiratory physiology & neurobiology · 2021Article
- Temperature-robust activity patterns arise from coordinated axonal Sodium channel properties.PLoS computational biology · 2020Article
- Circuit Stability to Perturbations Reveals Hidden Variability in the Balance of Intrinsic and Synaptic Conductances.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- The differential contribution of pacemaker neurons to synaptic transmission in the pyloric network of the Jonah crab,Journal of neurophysiology · 2019Article
- Membrane Voltage Is a Direct Feedback Signal That Influences Correlated Ion Channel Expression in Neurons.Current biology : CB · 2019Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Neuronal identity depends on the regulated expression of numerous molecular components, especially ionic channels, which determine the electrical signature of a neuron. Such regulation depends on at least two key factors, activity itself and neuromodulatory input. Neuronal electrical activity can modify the expression of ionic currents in homeostatic or nonhomeostatic fashion. Neuromodulators typically modify activity by regulating the properties or expression levels of subsets of ionic channels. In the stomatogastric system of crustaceans, both types of regulation have been demonstrated. Furthermore, the regulation of the coordinated expression of ionic currents and the channels that carry these currents has been recently reported in diverse neuronal systems, with neuromodulators not only controlling the absolute levels of ionic current expression but also, over long periods of time, appearing to modify their correlated expression. We hypothesize that neuromodulators may regulate the correlated expression of ion channels at multiple levels and in a cell-type-dependent fashion. We report that in two identified neuronal types, three ionic currents are linearly correlated in a pairwise manner, suggesting their coexpression or direct interactions, under normal neuromodulatory conditions. In each cell, some currents remain correlated after neuromodulatory input is removed, whereas the correlations between the other pairs are either lost or altered. Interestingly, in each cell, a different suite of currents change their correlation. At the transcript level we observe distinct alterations in correlations between channel mRNA amounts, including one of the cell types lacking a correlation under normal neuromodulatory conditions and then gaining the correlation when neuromodulators are removed. Synaptic activity does not appear to contribute, with one possible exception, to the correlated expression of either ionic currents or of the transcripts that code for the respective channels. We conclude that neuromodulators regulate the correlated expression of ion channels at both the transcript and the protein levels.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.