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Mus musculus

ABSTRACT: Quantitative analysis of chromatin interactions upon copy number variation at mouse 4E2 [RNA-seq]

PROVIDER: PRJNA270824 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR1726081_1.fastq.gz	Fastqsanger.gz
	SRR1726081_2.fastq.gz	Fastqsanger.gz
	SRR1726082_1.fastq.gz	Fastqsanger.gz
	SRR1726082_2.fastq.gz	Fastqsanger.gz
	SRR1726083_1.fastq.gz	Fastqsanger.gz

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Testis expression in Mus musculus domesticus WSB/EiJ x Mus musculus musculus PWD/PhJ F2 hybrids

Project description:To characterize the genetic basis of hybrid male sterility in detail, we used a systems genetics approach, integrating mapping of gene expression traits with sterility phenotypes and QTL. We measured genome-wide testis expression in 305 male F2s from a cross between wild-derived inbred strains of M. musculus musculus and M. m. domesticus. We identified several thousand cis- and trans-acting QTL contributing to expression variation (eQTL). Many trans eQTL cluster into eleven ‘hotspots,’ seven of which co-localize with QTL for sterility phenotypes identified in the cross. The number and clustering of trans eQTL - but not cis eQTL - were substantially lower when mapping was restricted to a ‘fertile’ subset of mice, providing evidence that trans eQTL hotspots are related to sterility. Functional annotation of transcripts with eQTL provides insights into the biological processes disrupted by sterility loci and guides prioritization of candidate genes. Using a conditional mapping approach, we identified eQTL dependent on interactions between loci, revealing a complex system of epistasis. Our results illuminate established patterns, including the role of the X chromosome in hybrid sterility.

2014-05-01 | GSE54089 | GEO

Mus musculus hematopoietic stem cell

Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes.

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