Calcium Activity Dynamics Correlate with Neuronal Phenotype at a Single Cell Level and in a Threshold-Dependent Manner
Abstract
Calcium is a ubiquitous signaling molecule that plays a vital role in many physiological processes. Recent work has shown that calcium activity is especially critical in vertebrate neural development. Here, we investigated if calcium activity and neuronal phenotype are correlated only on a population level or on the level of single cells. Using Xenopus primary cell culture in which individual cells can be unambiguously identified and associated with a molecular phenotype, we correlated calcium activity with neuronal phenotype on the single-cell level. This analysis revealed that, at the neural plate stage, a high frequency of low-amplitude spiking activity correlates with an excitatory, glutamatergic phenotype, while high-amplitude spiking activity correlates with an inhibitory, GABAergic phenotype. Surprisingly, we also found that high-frequency, low-amplitude spiking activity correlates with neural progenitor cells and that differentiating cells exhibit higher spike amplitude. Additional methods of analysis suggested that differentiating marker tubb2b-expressing cells exhibit relatively persistent and predictable calcium activity compared to the irregular activity of neural progenitor cells. Our study highlights the value of using a range of thresholds for analyzing calcium activity data and underscores the importance of employing multiple methods to characterize the often irregular, complex patterns of calcium activity during early neural development.
Additional Information
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Received: 20 March 2019; Accepted: 10 April 2019; Published: 16 April 2019. Author Contributions: Conceptualization, MSS; Experimental Design, E.A., A.H., J.M., M.S. and M.S.S.; Data acquisition, E.A., M.S., S.P.; Data analysis, E.A., A.H., P.K., J.M., S.P., A.R., M.S., and M.S.S.; Software: J.M., A.H., A.R., and P.K.; Writing manuscript, E.A., S.P., M.S.S.; Editing and revising manuscript, E.A., A.H., P.K., J.M., S.P., A.R., M.S. and M.S.S. This work was supported by grants from the National Institutes of Health (1R15NS067566-01, 1R15HD077624-01 and 1R15HD096415-01) to MSS. We gratefully acknowledge Wendy Herbst and Lindsay Schleifer who assisted with developing this project. The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.Attached Files
Published - ijms-20-01880.pdf
Supplemental Material - ijms-20-01880-s001.zip
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Additional details
- PMCID
- PMC6515432
- Eprint ID
- 94743
- Resolver ID
- CaltechAUTHORS:20190417-104113860
- 1R15NS067566-01
- NIH
- 1R15HD077624-01
- NIH
- 1R15HD096415-01
- NIH
- Created
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2019-04-17Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field