PPARγ and the global map of adipogenesis and beyond.

Autor: Lefterova MI; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA., Haakonsson AK; Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense, Denmark., Lazar MA; Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, and Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: lazar@mail.med.upenn.edu., Mandrup S; Department of Biochemistry and Molecular Biology, University of Southern Denmark, 5230 Odense, Denmark. Electronic address: s.mandrup@bmb.sdu.dk.
Jazyk: angličtina
Zdroj: Trends in endocrinology and metabolism: TEM [Trends Endocrinol Metab] 2014 Jun; Vol. 25 (6), pp. 293-302. Date of Electronic Publication: 2014 Apr 29.
DOI: 10.1016/j.tem.2014.04.001
Abstrakt: Peroxisome proliferator-activated receptor γ (PPARγ) is a member of the nuclear receptor (NR) superfamily of ligand-dependent transcription factors (TFs) and function as a master regulator of adipocyte differentiation and metabolism. We review recent breakthroughs in the understanding of PPARγ gene regulation and function in the chromatin context. It is now clear that multiple TFs team up to induce PPARγ during adipogenesis, and that other TFs cooperate with PPARγ to ensure adipocyte-specific genomic binding and function. We discuss how this differs in other PPARγ-expressing cells such as macrophages and how these genome-wide mechanisms are preserved across species despite modest conservation of specific binding sites. These emerging considerations inform our understanding of PPARγ function as well as of adipocyte development and physiology.
(Published by Elsevier Ltd.)
Databáze: MEDLINE