Evidence map›Paper›PMID 27742664›Full record

ArticleBriefings in bioinformatics2018

A bioimage informatics platform for high-throughput embryo phenotyping.

James M Brown, Neil R Horner, Thomas N Lawson, Tanja Fiegel, Simon Greenaway, Hugh Morgan, Natalie Ring, Luis Santos, Duncan Sneddon, Lydia Teboul and 4 more

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. aXonica: A support package for MRI based Neuroimaging.Biotechnology notes (Amsterdam, Netherlands) · 2024
    Article
  4. Cleft palate and minor metabolic disturbances in a mouse global Arl15 gene knockout.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  5. Article
  6. Article
  7. A novel knockout mouse for the small EDRK-rich factor 2 (Serf2) showing developmental and other deficits.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
    Article
  8. Article
  9. New models for human disease from the International Mouse Phenotyping Consortium.Mammalian genome : official journal of the International Mammalian Genome Society · 2019
    Review
  10. Sensor, Signal, and Imaging Informatics.Yearbook of medical informatics · 2017
    Review
  11. 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

14 authors.

James M Brown
Neil R Horner
Thomas N Lawson
Tanja Fiegel
Simon Greenaway
Hugh Morgan
Natalie Ring
Luis Santos
Duncan Sneddon
Lydia Teboul
Jennifer Vibert
Gagarine Yaikhom
Henrik Westerberg
Ann-Marie Mallon

Funding

Mouse Phenotyping Informatics Infrastruture - MP12U54HG006370 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BROWN, STEVE, FLICEK, PAUL · 2011 to 2015
$11.4M
Medical Research Council MC_U142684171Medical Research Council MC_UP_1502/3NHGRI NIH HHS U54 HG006370
6 · The paper itself

Abstract

High-throughput phenotyping is a cornerstone of numerous functional genomics projects. In recent years, imaging screens have become increasingly important in understanding gene-phenotype relationships in studies of cells, tissues and whole organisms. Three-dimensional (3D) imaging has risen to prominence in the field of developmental biology for its ability to capture whole embryo morphology and gene expression, as exemplified by the International Mouse Phenotyping Consortium (IMPC). Large volumes of image data are being acquired by multiple institutions around the world that encompass a range of modalities, proprietary software and metadata. To facilitate robust downstream analysis, images and metadata must be standardized to account for these differences. As an open scientific enterprise, making the data readily accessible is essential so that members of biomedical and clinical research communities can study the images for themselves without the need for highly specialized software or technical expertise. In this article, we present a platform of software tools that facilitate the upload, analysis and dissemination of 3D images for the IMPC. Over 750 reconstructions from 80 embryonic lethal and subviable lines have been captured to date, all of which are openly accessible at mousephenotype.org. Although designed for the IMPC, all software is available under an open-source licence for others to use and develop further. Ongoing developments aim to increase throughput and improve the analysis and dissemination of image data. Furthermore, we aim to ensure that images are searchable so that users can locate relevant images associated with genes, phenotypes or human diseases of interest.

Indexed as

SoftwareAnimalsAutomationEmbryo, MammalianHigh-Throughput Screening AssaysImage Processing, Computer-AssistedImaging, Three-DimensionalMiceMice, Inbred C57BLMice, Mutant StrainsMolecular ImagingPhenotypeautomated analysisbioimage informaticsembryonic phenotypinghigh-throughputimage processingsoftware tools

Identifiers

PMID27742664
PMCPMC5862285

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.