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Multi-omics Analysis Unveils Metabolic Inflexibility Manifesting as Impaired Branched Amino Acid and Enhanced Fatty Acid Degradation in a Mouse Model of Diabetic Cardiomyopathy [ATAC-seq]

GSE274499 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2025/01/22 Platform GPL24247
Summary
Diabetic cardiomyopathy (DbCM) is an important clinical syndrome of diabetes and cause great burden to the people's life and health. Understanding its intrinsic epigenetic and metabolic alterations is critical to develop drugs for the treatment of DbCM. Multiple omics technology provides a feasible way for parsing the epigenetic characteristics and metabolic signatures associated with DbCM. The heart isolated from Male db/db mice and db/m mice were used for the analysis of high-throughput sequencing. Non-targeted metabolomics and amino acid-targeted metabolomics analyses were performed to detect the metabolites in plasma and heart tissues. Additionally, RNA-seq, proteomics, and ATAC-seq were employed to elucidate the underlying transcriptional-metabolic regulatory network mechanism in DbCM.
Published in
Multi-omics insights into the pathogenesis of diabetic cardiomyopathy: epigenetic and metabolic profiles
Zhou L, Mei S, Ma X et al. · Epigenomics 2025 · PMID 39623870 · doi:10.1080/17501911.2024.2435257
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Also filed as BioProject PRJNA1146748 and SRA study SRP525597. Searching any of these in the dataset finder brings you back here.

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