Evidence map›Paper›PMID 25358814›Full record

ArticleBMC medical genomics2014

A common gene expression signature in Huntington's disease patient brain regions.

Andreas Neueder, Gillian P Bates

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  13. Article
  14. Epigenetic regulation in Huntington's disease.Neurochemistry international · 2021
    Review
  15. Article
  16. Article
  17. Cell-Autonomous and Non-cell-Autonomous Pathogenic Mechanisms in Huntington's Disease: Insights from In Vitro and In Vivo Models.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Review
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Andreas NeuederDepartment of Medical and Molecular Genetics, King's College London, London, SE1 9RT, UK. andreas.neueder@kcl.ac.uk.
Gillian P BatesDepartment of Medical and Molecular Genetics, King's College London, London, SE1 9RT, UK. gillian.bates@kcl.ac.uk.
King's College London · GB

Funding

Medical Research Council G0801314Medical Research Council MR/L003627/1
6 · The paper itself

Abstract

backgroundGene expression data provide invaluable insights into disease mechanisms. In Huntington's disease (HD), a neurodegenerative disease caused by a tri-nucleotide repeat expansion in the huntingtin gene, extensive transcriptional dysregulation has been reported. Conventional dysregulation analysis has shown that e.g. in the caudate nucleus of the post mortem HD brain the gene expression level of about a third of all genes was altered. Owing to this large number of dysregulated genes, the underlying relevance of expression changes is often lost in huge gene lists that are difficult to comprehend.

methodsTo alleviate this problem, we employed weighted correlation network analysis to archival gene expression datasets of HD post mortem brain regions.

resultsWe were able to uncover previously unidentified transcription dysregulation in the HD cerebellum that contained a gene expression signature in common with the caudate nucleus and the BA4 region of the frontal cortex. Furthermore, we found that yet unassociated pathways, e.g. global mRNA processing, were dysregulated in HD. We provide evidence to show that, contrary to previous findings, mutant huntingtin is sufficient to induce a subset of stress response genes in the cerebellum and frontal cortex BA4 region. The comparison of HD with other neurodegenerative disorders showed that the immune system, in particular the complement system, is generally activated. We also demonstrate that HD mouse models mimic some aspects of the disease very well, while others, e.g. the activation of the immune system are inadequately reflected.

conclusionOur analysis provides novel insights into the molecular pathogenesis in HD and identifies genes and pathways as potential therapeutic targets.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksAnimalsBiomarkersBrainGene Expression RegulationGene OntologyHumansHuntington DiseaseMiceOligonucleotide Array Sequence AnalysisBiomarkers

Identifiers

PMID25358814
PMCPMC4219025
OpenAlexW1987001597

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.