Evidence map›Paper›PMID 36194175›Full record

ArticleDisease models & mechanisms2022

A new network for the synergistic translation of mouse research.

Owen Sansom

Open access · goldAbstract readEditorial
In one paragraph

Article in Disease models & mechanisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 51% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Synergistic modelling of human disease.Disease models & mechanisms · 2024
    Article
  2. Impactful in disease research: a DMM year in review.Disease models & mechanisms · 2023
    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

1 author at 1 institution in 1 country.

Owen SansomThe Beatson Institute for Cancer Research, Glasgow University, Garscube Estate, Glasgow G61 1BD, UK.ORCID 0000-0001-9540-3010
Cancer Research UK Scotland Institute · GB

Funding

Medical Research Council MC_PC_21039Medical Research Council MC_PC_21048
6 · The paper itself

Abstract

Over the past 20 years, the UK has become a leading force in the generation and use of complex mouse models in the precise investigation of human disease. Nevertheless, there remains a great challenge in improving how research in animals is translated to clinical benefits. Developing and expanding connections between basic scientists and clinicians to ensure that animal models accurately recapitulate human disease will be key to this effort. This is the focus of the new UK Medical Research Council (MRC) National Mouse Genetics Network (https://nmgn.mrc.ukri.org/), which we believe will hugely impact our ability to harness recent advances in mouse genetics. The National Mouse Genetics Network is a major £22 million investment initially comprising seven challenge-led research clusters with members distributed across the UK. At its core, the Mary Lyon Centre at MRC Harwell will act as a repository for, and provider of, genetically altered mice, as well as generate and share data, training, specialist facilities and resources. Importantly, each cluster will integrate expertise in fundamental biology with clinical findings to better address pertinent research questions. Results from previous, smaller-scale, network initiatives suggest that this model can synergise research, but we believe that this structure will work better when carried out on a larger scale, with greater scope for collaboration and capacity of the system. This Editorial will outline the principal aims of the Network and identify the main areas in which this model will be able to exploit the power and synergy of its different elements.

Indexed as

Disease Models, AnimalTranslational Research, BiomedicalAnimalsHumansMice

Identifiers

PMID36194175
PMCPMC9558624
OpenAlexW4301391890

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.