Evidence map›Paper›PMID 28161522›Full record

ReviewDevelopmental biology2017

eMouseAtlas: An atlas-based resource for understanding mammalian embryogenesis.

Chris Armit, Lorna Richardson, Shanmugasundaram Venkataraman, Liz Graham, Nicholas Burton, Bill Hill, Yiya Yang, Richard A Baldock

Abstract readReview
In one paragraph

Review in Developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The development of the amnion in mice and other amniotes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  7. Article
  8. Review
  9. Clinical and translational values of spatial transcriptomics.Signal transduction and targeted therapy · 2022
    Review
  10. Article
  11. Article
  12. Encoding Method of Single-cell Spatial Transcriptomics Sequencing.International journal of biological sciences · 2020
    Review
  13. High-resolution contrast-enhanced microCT reveals the true three-dimensional morphology of the murine placenta.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chris ArmitMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Lorna RichardsonMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Shanmugasundaram VenkataramanMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Liz GrahamMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Nicholas BurtonMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Bill HillMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Yiya YangMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.
Richard A BaldockMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road, EH4 2XU, UK.

Funding

Medical Research Council MC_PC_U127527203Medical Research Council MC_U127527203Wellcome TrustWellcome Trust 100160/Z/12/
6 · The paper itself

Abstract

The eMouseAtlas resource is an online database of 3D digital models of mouse development, an ontology of mouse embryo anatomy and a gene-expression database with about 30K spatially mapped gene-expression patterns. It is closely linked with the MGI/GXD database at the Jackson Laboratory and holds links to almost all available image-based gene-expression data for the mouse embryo. In this resource article we describe the novel web-based tools we have developed for 3D visualisation of embryo anatomy and gene expression. We show how mapping of gene expression data onto spatial models delivers a framework for capturing gene expression that enhances our understanding of development, and we review the exploratory tools utilised by the EMAGE gene expression database as a means of defining co-expression of in situ hybridisation, immunohistochemistry, and lacZ-omic expression patterns. We report on recent developments of the eHistology atlas and our use of web-services to support embedding of the online 'The Atlas of Mouse Development' in the context of other resources such as the DMDD mouse phenotype database. In addition, we discuss new developments including a cellular-resolution placental atlas, third-party atlas models, clonal analysis data and a new interactive eLearning resource for developmental processes.

Indexed as

Atlases as TopicEmbryonic DevelopmentAnatomy, ArtisticAnimalsEmbryo, MammalianGene Expression Regulation, DevelopmentalInternetMice

Identifiers

PMID28161522
PMCPMC5442644

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.