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Updated: May 2, 2026

A Computational Pipeline for Intergenic/Intragenic Enhancer RNA Quantification in Mouse Embryonic Stem Cells
Published on: October 28, 2025
Comparison of sequence variants in transcriptomic control regions across 17 mouse genomes
Cao Nguyen1, Abdul Baten, Grant Morahan
1Centre for Diabetes Research, The Western Australian Institute for Medical Research, Western Australia, Australia, Centre of Medical Research, University of Western Australia, Perth, Western Australia, Australia and Southern Cross Plant Science, Southern Cross University, Lismore, New South Wales, Australia.
Researchers mapped sequence variation in mouse functional elements across 17 strains, creating a valuable resource for biomedical research. The study highlights the Collaborative Cross founder strains as key for capturing genetic variability in regulatory elements.
Area of Science:
- Genomics
- Bioinformatics
- Systems Genetics
Background:
- The laboratory mouse is a crucial mammalian model organism in biomedical research.
- Comprehensive annotation of functional variation in the mouse genome is essential for advancing research.
- The mouse ENCODE project identified approximately 300,000 functional elements regulating gene expression across 19 tissue types.
Purpose of the Study:
- To compare sequence variation in functional genomic elements across 17 inbred mouse strains.
- To create a database of aligned sequences for regulatory elements.
- To develop a tool for visualizing and comparing sequence variation.
Main Methods:
- Sequencing of approximately 300,000 functional elements (promoters, enhancers, CTCF binding sites) across 17 mouse strains.
- Alignment of sequences for each cis-regulatory element to the genomes of the 17 strains.
- Development of an online tool for visualization and comparison of sequence variation.
Main Results:
- A database of approximately 5 million aligned sequences was generated, enabling interrogation of functional element variation.
- The study identified sequence variation in cis-regulatory elements across 19 tissues/cell types in commonly used mouse strains.
- The Collaborative Cross founder strains were found to capture the most variability in ENCODE elements among the 17 sequenced strains.
Conclusions:
- The generated database and online tool provide a valuable resource for studying functional variation in the mouse genome.
- The findings emphasize the utility of the Collaborative Cross resource for accelerating gene discovery in complex traits.
- This work facilitates a deeper understanding of genotype-phenotype relationships in mouse models.
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