Evidence map›Paper›PMID 26428929›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2016

Connectivity mapping uncovers small molecules that modulate neurodegeneration in Huntington's disease models.

Joshua L Smalley, Carlo Breda, Robert P Mason, Gurdeep Kooner, Ruth Luthi-Carter, Timothy W Gant, Flaviano Giorgini

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Genome-Wide Expression Profiles Drive Discovery of Novel Compounds that Reduce Binge Drinking in Mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
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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

7 authors at 2 institutions in 1 country.

Joshua L SmalleyDepartment of Genetics, University of Leicester, Leicester, LE1 7RH, UK.
Carlo BredaDepartment of Genetics, University of Leicester, Leicester, LE1 7RH, UK.
Robert P MasonDepartment of Genetics, University of Leicester, Leicester, LE1 7RH, UK.
Gurdeep KoonerDepartment of Genetics, University of Leicester, Leicester, LE1 7RH, UK.
Ruth Luthi-CarterDepartment of Cell Physiology and Pharmacology, University of Leicester, Leicester, LE1 7RH, UK.
Timothy W GantMRC Toxicology Unit, University of Leicester, Leicester, LE1 7HB, UK.
Flaviano GiorginiDepartment of Genetics, University of Leicester, Leicester, LE1 7RH, UK. fg36@le.ac.uk.
University of Leicester · GBPublic Health England · GB

Funding

Medical Research Council G0700090
6 · The paper itself

Abstract

unlabelledHuntington's disease (HD) is a genetic disease caused by a CAG trinucleotide repeat expansion encoding a polyglutamine tract in the huntingtin (HTT) protein, ultimately leading to neuronal loss and consequent cognitive decline and death. As no treatments for HD currently exist, several chemical screens have been performed using cell-based models of mutant HTT toxicity. These screens measured single disease-related endpoints, such as cell death, but had low 'hit rates' and limited dimensionality for therapeutic detection. Here, we have employed gene expression microarray analysis of HD samples--a snapshot of the expression of 25,000 genes--to define a gene expression signature for HD from publically available data. We used this information to mine a database for chemicals positively and negatively correlated to the HD gene expression signature using the Connectivity Map, a tool for comparing large sets of gene expression patterns. Chemicals with negatively correlated expression profiles were highly enriched for protective characteristics against mutant HTT fragment toxicity in in vitro and in vivo models. This study demonstrates the potential of using gene expression to mine chemical activity, guide chemical screening, and detect potential novel therapeutic compounds. KEY MESSAGES: Single-endpoint chemical screens have low therapeutic discovery hit-rates. In the context of HD, we guided a chemical screen using gene expression data. The resulting chemicals were highly enriched for suppressors of mutant HTT fragment toxicity. This study provides a proof of concept for wider usage in all chemical screening.

Indexed as

ConnectomeAnimalsCaspasesCell LineCluster AnalysisDeferoxamineDisease Models, AnimalDrosophilaDrug DiscoveryGene Expression RegulationHumansHuntington DiseaseInclusion BodiesMiceModels, BiologicalMutationCaspasesDeferoxamineNerve Tissue ProteinsOligomycinsChemical screeningcMapConnectivity MapHuntingtinHuntington’sTherapeutic detection

Identifiers

PMID26428929
PMCPMC4762922
OpenAlexW1832970052

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.