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eLearning at eMouseAtlas

Posted by , on 24 November 2016

A new eLearning resource that provides short and interactive vignettes in embryo (primarily vertebrate) development, from gametogenesis through to organogenesis, is available from the eMouseAtlas1,2 website (

The current eLearning content are the tutorials produced by Professor José García Monterde of the University of Córdoba, and the presentation from collaboration between Professor Monterde and the eMouseAtlas project.

The resource describes the development of various anatomical systems including the cardiovascular system, nervous system, and musculo-skeletal system, and additionally introduces core developmental biology concepts such as gastrulation, placentation, and the formation of the germ layers.


eLearning combines animations that enable conceptual understanding of key principles of embryonic development with 3D visualisations of embryo anatomy.


eLearning Topics


The resource combines illustrative animations of embryonic development with interactive 3D visualisations of mouse developmental anatomy. The newly developed 3D viewer enables arbitrary sections to be sliced through embryo models.


The eLearning tutorials additionally link to gene expression patterns associated with developing organ systems, the cellular-resolution eHistology atlas and the DMDD ( database of embryonic lethal phenotypes.


eLearning is freely available for both teaching and research purposes. eMouseAtlas continues to develop tools and resources that enable students and researchers to understand the concepts underpinning embryonic development. In this context we are willing to host learning materials on behalf of the community.



  1. Armit C, Richardson L, Hill B, Yang Y, Baldock RA (2015) eMouseAtlas Informatics: Embryo Atlas and Gene Expression Database. Mamm Genome. 26:431-40. doi: 10.1007/s00335-015-9596-5
  2. Richardson L, Venkataraman S, Stevenson P, Yang Y, Moss J, Graham L, Burton N, Hill B, Rao J, Baldock RA, Armit C (2014). EMAGE mouse embryo spatial gene expression database: (2014 update) Nucleic Acids Res. 42(1):D835-44. doi: 10.1093/nar/gkt1155
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