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Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis

Recent advances in fast volumetric imaging have enabled rapid generation of large amounts of multi-dimensional functional data. While many computer frameworks exist for data storage and analysis of the multi-gigabyte Ca(2+) imaging experiments in neurons, they are less useful for analyzing Ca(2+) dy...

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Autores principales: Savtchouk, Iaroslav, Carriero, Giovanni, Volterra, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908897/
https://www.ncbi.nlm.nih.gov/pubmed/29706870
http://dx.doi.org/10.3389/fncel.2018.00098
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author Savtchouk, Iaroslav
Carriero, Giovanni
Volterra, Andrea
author_facet Savtchouk, Iaroslav
Carriero, Giovanni
Volterra, Andrea
author_sort Savtchouk, Iaroslav
collection PubMed
description Recent advances in fast volumetric imaging have enabled rapid generation of large amounts of multi-dimensional functional data. While many computer frameworks exist for data storage and analysis of the multi-gigabyte Ca(2+) imaging experiments in neurons, they are less useful for analyzing Ca(2+) dynamics in astrocytes, where transients do not follow a predictable spatio-temporal distribution pattern. In this manuscript, we provide a detailed protocol and commentary for recording and analyzing three-dimensional (3D) Ca(2+) transients through time in GCaMP6f-expressing astrocytes of adult brain slices in response to axonal stimulation, using our recently developed tools to perform interactive exploration, filtering, and time-correlation analysis of the transients. In addition to the protocol, we release our in-house software tools and discuss parameters pertinent to conducting axonal stimulation/response experiments across various brain regions and conditions. Our software tools are available from the Volterra Lab webpage at https://wwwfbm.unil.ch/dnf/group/glia-an-active-synaptic-partner/member/volterra-andrea-volterra in the form of software plugins for Image J (NIH)—a de facto standard in scientific image analysis. Three programs are available: MultiROI_TZ_profiler for interactive graphing of several movable ROIs simultaneously, Gaussian_Filter5D for Gaussian filtering in several dimensions, and Correlation_Calculator for computing various cross-correlation parameters on voxel collections through time.
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spelling pubmed-59088972018-04-27 Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis Savtchouk, Iaroslav Carriero, Giovanni Volterra, Andrea Front Cell Neurosci Neuroscience Recent advances in fast volumetric imaging have enabled rapid generation of large amounts of multi-dimensional functional data. While many computer frameworks exist for data storage and analysis of the multi-gigabyte Ca(2+) imaging experiments in neurons, they are less useful for analyzing Ca(2+) dynamics in astrocytes, where transients do not follow a predictable spatio-temporal distribution pattern. In this manuscript, we provide a detailed protocol and commentary for recording and analyzing three-dimensional (3D) Ca(2+) transients through time in GCaMP6f-expressing astrocytes of adult brain slices in response to axonal stimulation, using our recently developed tools to perform interactive exploration, filtering, and time-correlation analysis of the transients. In addition to the protocol, we release our in-house software tools and discuss parameters pertinent to conducting axonal stimulation/response experiments across various brain regions and conditions. Our software tools are available from the Volterra Lab webpage at https://wwwfbm.unil.ch/dnf/group/glia-an-active-synaptic-partner/member/volterra-andrea-volterra in the form of software plugins for Image J (NIH)—a de facto standard in scientific image analysis. Three programs are available: MultiROI_TZ_profiler for interactive graphing of several movable ROIs simultaneously, Gaussian_Filter5D for Gaussian filtering in several dimensions, and Correlation_Calculator for computing various cross-correlation parameters on voxel collections through time. Frontiers Media S.A. 2018-04-13 /pmc/articles/PMC5908897/ /pubmed/29706870 http://dx.doi.org/10.3389/fncel.2018.00098 Text en Copyright © 2018 Savtchouk, Carriero and Volterra. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Savtchouk, Iaroslav
Carriero, Giovanni
Volterra, Andrea
Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title_full Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title_fullStr Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title_full_unstemmed Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title_short Studying Axon-Astrocyte Functional Interactions by 3D Two-Photon Ca(2+) Imaging: A Practical Guide to Experiments and “Big Data” Analysis
title_sort studying axon-astrocyte functional interactions by 3d two-photon ca(2+) imaging: a practical guide to experiments and “big data” analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5908897/
https://www.ncbi.nlm.nih.gov/pubmed/29706870
http://dx.doi.org/10.3389/fncel.2018.00098
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