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The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

PPARγ and the global map of adipogenesis and beyond

Open access
Lefterova, Martina I., Haakonsson, Anders K., Lazar, Mitchell A., Mandrup, Susanne·2014·Trends in Endocrinology & Metabolism

Abstract

Peroxisome proliferator-activated receptor γ (PPARγ) is a member of the nuclear receptor superfamily of ligand-dependent transcription factors which functions as a master regulator of adipocyte differentiation and metabolism. Here we review recent breakthroughs in the understanding of PPARγ gene regulation and function in a chromatin context. It is now clear that multiple transcription factors team up to induce PPARγ during adipogenesis, and that other transcription factors 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 adipocyte development and physiology.

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Crossref · 10.1016/j.tem.2014.04.001

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Metadata

Authors
Lefterova, M. I., Haakonsson, A. K., Lazar, M. A., & Mandrup, S.
Venue
Trends in Endocrinology & Metabolism
Publisher
Elsevier BV
Published
2014-06
Volume
25
Issue
6
Pages
293-302
ISSN
1043-2760 (ISSN-L)
OpenAlex
W2028769116
Cited by
623
References
108
FWCI
2.16
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: PPARγ and the global map of adipogenesis and beyond. https://app.cochat.ai/papers/10.1016/j.tem.2014.04.001
The paper
Lefterova, M. I., Haakonsson, A. K., Lazar, M. A., & Mandrup, S. (2014). PPARγ and the global map of adipogenesis and beyond. Trends in Endocrinology & Metabolism. https://doi.org/10.1016/j.tem.2014.04.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.