Literature DB >> 24769183

Phenotyping the central nervous system of the embryonic mouse by magnetic resonance microscopy.

M A Martínez-Martínez1, J Pacheco-Torres2, V Borrell3, S Canals4.   

Abstract

Genetic mouse models of neurodevelopmental disorders are being massively generated, but technologies for their high-throughput phenotyping are missing. The potential of high-resolution magnetic resonance imaging (MRI) for structural phenotyping has been demonstrated before. However, application to the embryonic mouse central nervous system has been limited by the insufficient anatomical detail. Here we present a method that combines staining of live embryos with a contrast agent together with MR microscopy after fixation, to provide unprecedented anatomical detail at relevant embryonic stages. By using this method we have phenotyped the embryonic forebrain of Robo1/2(-/-) double mutant mice enabling us to identify most of the well-known anatomical defects in these mutants, as well as novel more subtle alterations. We thus demonstrate the potential of this methodology for a fast and reliable screening of subtle structural abnormalities in the developing mouse brain, as those associated to defects in disease-susceptibility genes of neurologic and psychiatric relevance.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain; Development; Embryo; Gadolinium; MRI; Mouse

Mesh:

Substances:

Year:  2014        PMID: 24769183     DOI: 10.1016/j.neuroimage.2014.04.043

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  3 in total

Review 1.  Diverse application of MRI for mouse phenotyping.

Authors:  Yijen L Wu; Cecilia W Lo
Journal:  Birth Defects Res       Date:  2017-05-22       Impact factor: 2.344

2.  A Deep Learning Approach for Segmentation, Classification, and Visualization of 3-D High-Frequency Ultrasound Images of Mouse Embryos.

Authors:  Ziming Qiu; Tongda Xu; Jack Langerman; William Das; Chuiyu Wang; Nitin Nair; Orlando Aristizabal; Jonathan Mamou; Daniel H Turnbull; Jeffrey A Ketterling; Yao Wang
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2021-06-29       Impact factor: 3.267

3.  Brain size regulations by cbp haploinsufficiency evaluated by in-vivo MRI based volumetry.

Authors:  Juan C Ateca-Cabarga; Alejandro Cosa; Vicente Pallarés; José P López-Atalaya; Ángel Barco; Santiago Canals; David Moratal
Journal:  Sci Rep       Date:  2015-11-06       Impact factor: 4.379

  3 in total

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