Transcriptomic and epigenomic signatures of liver metabolism and insulin sensitivity in aging mice.

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Bibliographic Details
Title: Transcriptomic and epigenomic signatures of liver metabolism and insulin sensitivity in aging mice.
Authors: González JT; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA., Scharfman OH; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA., Zhu W; Department of Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT, USA; Department of Endocrinology & Metabolism, Yale School of Medicine, New Haven, CT, USA., Kasamoto J; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA., Gould V; Altos Labs, Institute of Computation, San Diego, CA 92114, USA., Perry RJ; Department of Cellular & Molecular Physiology, Yale School of Medicine, New Haven, CT, USA; Department of Endocrinology & Metabolism, Yale School of Medicine, New Haven, CT, USA. Electronic address: rachel.perry@yale.edu., Higgins-Chen AT; Department of Pathology, Yale University School of Medicine, New Haven, CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA. Electronic address: a.higginschen@yale.edu.
Source: Mechanisms of ageing and development [Mech Ageing Dev] 2025 Jun; Vol. 225, pp. 112068. Date of Electronic Publication: 2025 May 03.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 0347227 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6216 (Electronic) Linking ISSN: 00476374 NLM ISO Abbreviation: Mech Ageing Dev Subsets: MEDLINE
Database: MEDLINE Ultimate
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