Phasic oxygen dynamics confounds fast choline-sensitive biosensor signals in the brain of behaving rodents

  1. Ricardo M Santos  Is a corresponding author
  2. Anton Sirota  Is a corresponding author
  1. Ludwig Maximillian University Munchen, Germany

Abstract

Cholinergic fast time-scale modulation of cortical physiology is critical for cognition, but direct local measurement of neuromodulators in vivo is challenging. Choline oxidase (ChOx)-based electrochemical biosensors have been used to capture fast cholinergic signals in behaving animals. However, these transients might be biased by local field potential and O2-evoked enzymatic responses. Using a novel Tetrode-based Amperometric ChOx (TACO) sensor we performed highly sensitive and selective simultaneous measurement of ChOx activity (COA) and O2. In vitro and in vivo experiments, supported by mathematical modeling, revealed that non-steady-state enzyme responses to O2 give rise to phasic COA dynamics. This mechanism accounts for most of COA transients in the hippocampus, including those following locomotion bouts and sharp-wave/ripples Our results suggest that it is unfeasible to probe phasic cholinergic signals under most behavioral paradigms with current ChOx biosensors. This confound is generalizable to any oxidase-based biosensor, entailing rigorous controls and new biosensor designs.

Data availability

Raw and intermediate data is provided for the in vitro analysis of biosensor's O2 dependence (Figure 7). The code used to model biosensor responses in vitro and obtain the plots in Figure 8 is also provided. Raw data is deposited at http://doi.org/10.5281/zenodo.4020348.

Article and author information

Author details

  1. Ricardo M Santos

    Faculty of Medicine, Cognition and Neural Plasticity, Ludwig Maximillian University Munchen, Planegg, Germany
    For correspondence
    santos@bio.lmu.de
    Competing interests
    The authors declare that no competing interests exist.
  2. Anton Sirota

    Faculty of Medicine, Cognition and Neural Plasticity, Ludwig Maximillian University Munchen, Planegg, Germany
    For correspondence
    sirota@bio.lmu.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4700-6587

Funding

Bundesministerium für Bildung und Forschung (01GQ0440)

  • Anton Sirota

Deutsche Forschungsgemeinschaft, Excellence Initiative, Munich Cluster for Systems Neurology (SyNergy EXC 1010)

  • Anton Sirota

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: All experimental procedures were established, and have been approved in accordance with the stipulations of the German animal welfare law (Tierschutzgesetz )(ROB-55.2-2532.Vet_02-16-170).

Copyright

© 2021, Santos & Sirota

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 795
    views
  • 132
    downloads
  • 4
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Ricardo M Santos
  2. Anton Sirota
(2021)
Phasic oxygen dynamics confounds fast choline-sensitive biosensor signals in the brain of behaving rodents
eLife 10:e61940.
https://doi.org/10.7554/eLife.61940

Share this article

https://doi.org/10.7554/eLife.61940

Further reading

    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology
    A Sofia F Oliveira, Fiona L Kearns ... Adrian J Mulholland
    Short Report

    The spike protein is essential to the SARS-CoV-2 virus life cycle, facilitating virus entry and mediating viral-host membrane fusion. The spike contains a fatty acid (FA) binding site between every two neighbouring receptor-binding domains. This site is coupled to key regions in the protein, but the impact of glycans on these allosteric effects has not been investigated. Using dynamical nonequilibrium molecular dynamics (D-NEMD) simulations, we explore the allosteric effects of the FA site in the fully glycosylated spike of the SARS-CoV-2 ancestral variant. Our results identify the allosteric networks connecting the FA site to functionally important regions in the protein, including the receptor-binding motif, an antigenic supersite in the N-terminal domain, the fusion peptide region, and another allosteric site known to bind heme and biliverdin. The networks identified here highlight the complexity of the allosteric modulation in this protein and reveal a striking and unexpected link between different allosteric sites. Comparison of the FA site connections from D-NEMD in the glycosylated and non-glycosylated spike revealed that glycans do not qualitatively change the internal allosteric pathways but can facilitate the transmission of the structural changes within and between subunits.

    1. Biochemistry and Chemical Biology
    2. Genetics and Genomics
    Conor J Howard, Nathan S Abell ... Nathan B Lubock
    Research Article

    Deep Mutational Scanning (DMS) is an emerging method to systematically test the functional consequences of thousands of sequence changes to a protein target in a single experiment. Because of its utility in interpreting both human variant effects and protein structure-function relationships, it holds substantial promise to improve drug discovery and clinical development. However, applications in this domain require improved experimental and analytical methods. To address this need, we report novel DMS methods to precisely and quantitatively interrogate disease-relevant mechanisms, protein-ligand interactions, and assess predicted response to drug treatment. Using these methods, we performed a DMS of the melanocortin-4 receptor (MC4R), a G-protein-coupled receptor (GPCR) implicated in obesity and an active target of drug development efforts. We assessed the effects of >6600 single amino acid substitutions on MC4R’s function across 18 distinct experimental conditions, resulting in >20 million unique measurements. From this, we identified variants that have unique effects on MC4R-mediated Gαs- and Gαq-signaling pathways, which could be used to design drugs that selectively bias MC4R’s activity. We also identified pathogenic variants that are likely amenable to a corrector therapy. Finally, we functionally characterized structural relationships that distinguish the binding of peptide versus small molecule ligands, which could guide compound optimization. Collectively, these results demonstrate that DMS is a powerful method to empower drug discovery and development.