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Alignment of the transcriptome with individual variation in animals selectively bred for High Drinking-In-the-Dark (HDID).

Robert Hitzemann | Denesa Oberbeck | Ovidiu Iancu | Priscila Darakjian | Shannon McWeeney | Stephanie Spence | Jason Schlumbohm | Pamela Metten | John Crabbe
Alcohol (Fayetteville, N.Y.) | 2017

Among animals at risk for excessive ethanol consumption such as the HDID selected mouse lines, there is considerable individual variation in the amount of ethanol consumed and the associated blood ethanol concentrations (BECs). For the HDID lines, this variation occurs even though the residual genetic variation associated with the DID phenotype has been largely exhausted and thus is most likely associated with epigenetic factors. Here we focus on the question of whether the genes associated with individual variation in HDID-1 mice are different from those associated with selection (risk) (Iancu et al., 2013). Thirty-three HDID-1 mice were phenotyped for their BECs at the end of a standard DID trial, were sacrificed 3 weeks later, and RNA-Seq was used to analyze the striatal transcriptome. The data obtained illustrate that there is considerable overlap of the risk and variation gene sets, both focused on the fine-tuning of synaptic plasticity.

Pubmed ID: 28442218

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Associated grants

  • Agency: NIAAA NIH HHS, United States
    Id: P50 AA010760
  • Agency: NIAAA NIH HHS, United States
    Id: U01 AA013519
  • Agency: NIAAA NIH HHS, United States
    Id: R24 AA020245
  • Agency: NIAAA NIH HHS, United States
    Id: U01 AA013484
  • Agency: NIAAA NIH HHS, United States
    Id: P60 AA010760

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Enrichr (tool)

RRID:SCR_001575

A web-based gene list enrichment analysis tool that provides various types of visualization summaries of collective functions of gene lists. It includes new gene-set libraries, an alternative approach to rank enriched terms, and various interactive visualization approaches to display enrichment results using the JavaScript library, Data Driven Documents (D3). The software can also be embedded into any tool that performs gene list analysis. System-wide profiling of genes and proteins in mammalian cells produce lists of differentially expressed genes / proteins that need to be further analyzed for their collective functions in order to extract new knowledge. Once unbiased lists of genes or proteins are generated from such experiments, these lists are used as input for computing enrichment with existing lists created from prior knowledge organized into gene-set libraries.

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edgeR (tool)

RRID:SCR_012802

Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.

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