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Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis

Open access
Takeuchi, Kazuharu, Reue, Karen·2009·American Journal of Physiology-Endocrinology and Metabolism

Abstract

Triacylglycerol (TAG) synthesis and storage in tissues such as adipose tissue and liver have important roles in metabolic homeostasis. The molecular identification of genes encoding enzymes that catalyze steps in TAG biosynthesis from glycerol 3-phosphate has revealed an unexpected number of protein isoforms of the glycerol phosphate acyltransferase (GPAT), acylglycerolphosphate acyltransferase (AGPAT), and lipin (phosphatidate phosphatase) families that appear to catalyze similar biochemical reactions. However, on the basis of available data for a few members in which genetic deficiencies in mouse and/or human have been studied, we postulate that each GPAT, AGPAT, and lipin family member likely has a specialized role that may be uncovered through careful biochemical and physiological analyses.

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Crossref · 10.1152/ajpendo.90958.2008

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Metadata

Authors
Takeuchi, K., & Reue, K.
Venue
American Journal of Physiology-Endocrinology and Metabolism
Published
2009-06
Volume
296
Issue
6
Pages
E1195-E1209
ISSN
  • 0193-1849 (ISSN-L)
  • 1522-1555
OpenAlex
W2134814870
Cited by
463
References
5
FWCI
9.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis. https://app.cochat.ai/papers/10.1152/ajpendo.90958.2008
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Takeuchi, K., & Reue, K. (2009). Biochemistry, physiology, and genetics of GPAT, AGPAT, and lipin enzymes in triglyceride synthesis. American Journal of Physiology-Endocrinology and Metabolism. https://doi.org/10.1152/ajpendo.90958.2008

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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.