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A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice

Several techniques, allowing the reconstruction and visualization of functional, anatomical or molecular information from tissue and organ slices, have been developed over the years. Yet none allow direct comparison without reprocessing the same slices. Alternative methods using publicly available r...

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Autores principales: Vreysen, Samme, Scheyltjens, Isabelle, Laramée, Marie-Eve, Arckens, Lutgarde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239821/
https://www.ncbi.nlm.nih.gov/pubmed/28144216
http://dx.doi.org/10.3389/fnana.2017.00001
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author Vreysen, Samme
Scheyltjens, Isabelle
Laramée, Marie-Eve
Arckens, Lutgarde
author_facet Vreysen, Samme
Scheyltjens, Isabelle
Laramée, Marie-Eve
Arckens, Lutgarde
author_sort Vreysen, Samme
collection PubMed
description Several techniques, allowing the reconstruction and visualization of functional, anatomical or molecular information from tissue and organ slices, have been developed over the years. Yet none allow direct comparison without reprocessing the same slices. Alternative methods using publicly available reference maps like the Allen Brain Atlas lack flexibility with respect to age and species. We propose a new approach to reconstruct a segmented region of interest from serial slices by projecting the optical density values representing a given molecular signal to a plane of view of choice, and to generalize the results into a reference map, which is built from the individual maps of all animals under study. Furthermore, to allow quantitative comparison between experimental conditions, a non-parametric pseudo t-test has been implemented. This new mapping tool was applied, optimized and validated making use of an in situ hybridization dataset that represents the spatiotemporal expression changes for the neuronal activity reporter gene zif268, in relation to cortical plasticity induced by monocular enucleation, covering the entire mouse visual cortex. The created top view maps of the mouse brain allow precisely delineating and interpreting 11 extrastriate areas surrounding mouse V1. As such, and because of the opportunity to create a planar projection of choice, these molecular maps can in the future easily be compared with functional or physiological imaging maps created with other techniques such as Ca(2+), flavoprotein and optical imaging.
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spelling pubmed-52398212017-01-31 A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice Vreysen, Samme Scheyltjens, Isabelle Laramée, Marie-Eve Arckens, Lutgarde Front Neuroanat Neuroscience Several techniques, allowing the reconstruction and visualization of functional, anatomical or molecular information from tissue and organ slices, have been developed over the years. Yet none allow direct comparison without reprocessing the same slices. Alternative methods using publicly available reference maps like the Allen Brain Atlas lack flexibility with respect to age and species. We propose a new approach to reconstruct a segmented region of interest from serial slices by projecting the optical density values representing a given molecular signal to a plane of view of choice, and to generalize the results into a reference map, which is built from the individual maps of all animals under study. Furthermore, to allow quantitative comparison between experimental conditions, a non-parametric pseudo t-test has been implemented. This new mapping tool was applied, optimized and validated making use of an in situ hybridization dataset that represents the spatiotemporal expression changes for the neuronal activity reporter gene zif268, in relation to cortical plasticity induced by monocular enucleation, covering the entire mouse visual cortex. The created top view maps of the mouse brain allow precisely delineating and interpreting 11 extrastriate areas surrounding mouse V1. As such, and because of the opportunity to create a planar projection of choice, these molecular maps can in the future easily be compared with functional or physiological imaging maps created with other techniques such as Ca(2+), flavoprotein and optical imaging. Frontiers Media S.A. 2017-01-17 /pmc/articles/PMC5239821/ /pubmed/28144216 http://dx.doi.org/10.3389/fnana.2017.00001 Text en Copyright © 2017 Vreysen, Scheyltjens, Laramée and Arckens. 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) or licensor 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
Vreysen, Samme
Scheyltjens, Isabelle
Laramée, Marie-Eve
Arckens, Lutgarde
A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title_full A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title_fullStr A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title_full_unstemmed A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title_short A Tool for Brain-Wide Quantitative Analysis of Molecular Data upon Projection into a Planar View of Choice
title_sort tool for brain-wide quantitative analysis of molecular data upon projection into a planar view of choice
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5239821/
https://www.ncbi.nlm.nih.gov/pubmed/28144216
http://dx.doi.org/10.3389/fnana.2017.00001
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