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Integrative analysis of hepatic transcriptional profiles reveals genetic regulation of atherosclerosis in hyperlipidemic Diversity Outbred-F1 mice

posted on 2024-06-11, 06:41 authored by USDA ARS-WHNRC
Purpose: To investigate the sex-dependence of liver transcriptome in Diversity Outbred (DO)-F1 mice Methods: Total RNA was extracted from snap-frozen liver using miRVana total RNA isolation kit (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s protocol. The quality and amount of liver RNA were evaluated using a Bioanalyzer (Agilent, Inc., Santa Clara, CA). The average RNA-integrity score for 162 DO-F1 liver samples was 9.01 ± 0.4. RNA samples from 85 females and 77 males were submitted to the UC Davis DNA Technologies Core at the Genome Center. The RNA-seq libraries were constructed from 1 µg total RNA after poly-A library preparation. To minimize technical variability, all samples were assigned to each lane and the pooled libraries were sequenced on two lanes of the Illumina NovaSeq 6000 sequencing (Illumina Inc., San Diego, CA, USA) to achieve paired-end reads of at least 25 million 150 bp. Only R1 was used in the analysis and only R1 was submitted. Results: Our results demonstrate the tremendous effects of sex on hepatic gene expression. In support of this, genetic loci associated with the transcripts frequently showed sex specificity. We revealed sex-specific candidate genes that were mapped to the quantitative trait loci for aortic lesion area and whose expression was regulated locally regulated via global liver transcriptome. Conclusions: Our study provide a valuable data resource to the research community and show that liver transcriptomic analysis identified diet- or strain-specific pathways to pathogenesis of metabolic syndrome. Overall design: Liver mRNA profiles of 24-week old Diversity Outbred-F1 mice


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National Center for Biotechnology Information

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  • Non-geospatial

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  • biota

National Agricultural Library Thesaurus terms

transcriptome; gene expression

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  • No

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  • Public

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It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA742132 in the NCBI BioProject database ("

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