Evidence map›Paper›PMID 34420978›Full record

ArticleJournal of Huntington's disease2021

A Multi-Omic Huntington's Disease Transgenic Sheep-Model Database for Investigating Disease Pathogenesis.

Emily R Mears, Renee R Handley, Matthew J Grant, Suzanne J Reid, Benjamin T Day, Skye R Rudiger, Clive J McLaughlan, Paul J Verma, Simon C Bawden, Stefano Patassini and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Huntington's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

20 authors at 6 institutions in 4 countries.

Emily R MearsCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Renee R HandleyCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Matthew J GrantCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Suzanne J ReidCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Benjamin T DayHigh Performance Sport New Zealand, Mairangi Bay, Auckland, New Zealand.
Skye R RudigerMolecular Biology and Reproductive Technology Laboratories, South Australian Research and Development Institute, Livestock Sciences Division, Rosedale, SA, Australia.
Clive J McLaughlanMolecular Biology and Reproductive Technology Laboratories, South Australian Research and Development Institute, Livestock Sciences Division, Rosedale, SA, Australia.
Paul J VermaMolecular Biology and Reproductive Technology Laboratories, South Australian Research and Development Institute, Livestock Sciences Division, Rosedale, SA, Australia.
Simon C BawdenMolecular Biology and Reproductive Technology Laboratories, South Australian Research and Development Institute, Livestock Sciences Division, Rosedale, SA, Australia.
Stefano PatassiniCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Richard D UnwinCentre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK.
Garth J S CooperCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
James F GusellaMolecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Marcy E MacDonaldMolecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Rudiger BrauningInvermay Agricultural Centre, AgResearch Ltd., Mosgiel, New Zealand.
Paul MacleanInvermay Agricultural Centre, AgResearch Ltd., Mosgiel, New Zealand.
John F PearsonBiostatistics and Computational Biology Unit, University of Otago, Christchurch, New Zealand.
Henry J WaldvogelCentre for Brain Research, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand.
Richard L M FaullCentre for Brain Research, Faculty of Medical and Health Science, The University of Auckland, Auckland, New Zealand.
Russell G SnellCentre for Brain Research, School of Biological Sciences, The University of Auckland, Auckland, New Zealand.
University of Auckland · NZSouth Australian Research and Development Institute · AUAgResearch · NZHarvard University · USManchester Academic Health Science Centre · GBUniversity of Otago · NZ

Funding

Disease-Modifying Genes in Huntington's DiseaseR01NS091161 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI JAMES F GUSELLA · 2015 to 2026
$7.2M
Department of HealthNINDS NIH HHS R01 NS091161
6 · The paper itself

Abstract

backgroundThe pathological mechanism of cellular dysfunction and death in Huntington's disease (HD) is not well defined. Our transgenic HD sheep model (OVT73) was generated to investigate these mechanisms and for therapeutic testing. One particular cohort of animals has undergone focused investigation resulting in a large interrelated multi-omic dataset, with statistically significant changes observed comparing OVT73 and control 'omic' profiles and reported in literature.

objectiveHere we make this dataset publicly available for the advancement of HD pathogenic mechanism discovery.

methodsTo enable investigation in a user-friendly format, we integrated seven multi-omic datasets from a cohort of 5-year-old OVT73 (n = 6) and control (n = 6) sheep into a single database utilising the programming language R. It includes high-throughput transcriptomic, metabolomic and proteomic data from blood, brain, and other tissues.

resultsWe present the 'multi-omic' HD sheep database as a queryable web-based platform that can be used by the wider HD research community (https://hdsheep.cer.auckland.ac.nz/). The database is supported with a suite of simple automated statistical analysis functions for rapid exploratory analyses. We present examples of its use that validates the integrity relative to results previously reported. The data may also be downloaded for user determined analysis.

conclusionWe propose the use of this online database as a hypothesis generator and method to confirm/refute findings made from patient samples and alternate model systems, to expand our understanding of HD pathogenesis. Importantly, additional tissue samples are available for further investigation of this cohort.

Indexed as

Huntington DiseaseAnimalsBrainHumansProteomicsSheepanimal modelscomputational biologydatabasegeneticsHuntington’s diseasemetabolomicsproteomicsRNA-seqsheepsystems biology

Identifiers

PMID34420978
PMCPMC8673501
OpenAlexW3195555726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.