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Open AccessJournal ArticleDOI

Genome-Wide Expression Profiles Drive Discovery of Novel Compounds that Reduce Binge Drinking in Mice

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TLDR
Terreic acid and pergolide robustly reduced alcohol intake and BALs in HDID-1 mice, providing the first evidence for transcriptome-based drug discovery to target an addiction trait.
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This article is published in Neuropsychopharmacology.The article was published on 2018-05-01 and is currently open access. It has received 38 citations till now. The article focuses on the topics: Alcohol use disorder & Binge drinking.

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Signature-based approaches for informed drug repurposing: targeting CNS disorders.

TL;DR: Various signature-based in silico approaches to drug repurposing, its integration with multiple omics platforms, and how this data can be used for clinically relevant, evidence-based drugRepurposing are discussed.
Journal ArticleDOI

Effects of Pharmacologically Targeting Neuroimmune Pathways on Alcohol Drinking in Mice Selectively Bred to Drink to Intoxication.

TL;DR: A number of compounds shown to reduce ethanol drinking in other models and genotypes are not effective in HDID mice, or their genetically heterogeneous founders, HS/NPT; the most promising compound was the PDE4 inhibitor, rolipram.
Posted ContentDOI

Evaluation of Connectivity Map shows limited reproducibility in drug repositioning

TL;DR: This work used two iterations of CMap to assess their comparability and reliability and attempted to identify the “better” CMap by comparison with a third dataset, but they were mutually discordant.
Journal ArticleDOI

Targeting the Glucocorticoid Receptor Reduces Binge‐Like Drinking in High Drinking in the Dark (HDID‐1) Mice

TL;DR: Data suggest that the selection process increased sensitivity to GR antagonism on ethanol intake in the HDID-1 mice, and support a role for the GR as a genetic risk factor for high-risk alcohol intake.
References
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Journal ArticleDOI

limma powers differential expression analyses for RNA-sequencing and microarray studies

TL;DR: The philosophy and design of the limma package is reviewed, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
Journal ArticleDOI

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

TL;DR: The first installment of a reference collection of gene-expression profiles from cultured human cells treated with bioactive small molecules is created, and it is demonstrated that this “Connectivity Map” resource can be used to find connections among small molecules sharing a mechanism of action, chemicals and physiological processes, and diseases and drugs.
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lumi: a pipeline for processing Illumina microarray

TL;DR: The lumi package as discussed by the authors is a Bioconductor package designed to process the Illumina microarray data, which includes data input, quality control, variance stabilization, normalization and gene annotation portions.
Journal ArticleDOI

A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.

TL;DR: The expanded CMap is reported, made possible by a new, low-cost, high-throughput reduced representation expression profiling method that is shown to be highly reproducible, comparable to RNA sequencing, and suitable for computational inference of the expression levels of 81% of non-measured transcripts.
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