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ACC2 Is Expressed at High Levels Human White Adipose and Has an Isoform with a Novel N-Terminus

Overview of attention for article published in PLOS ONE, February 2009
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Title
ACC2 Is Expressed at High Levels Human White Adipose and Has an Isoform with a Novel N-Terminus
Published in
PLOS ONE, February 2009
DOI 10.1371/journal.pone.0004369
Pubmed ID
Authors

John C. Castle, Yoshikazu Hara, Christopher K. Raymond, Philip Garrett-Engele, Kenji Ohwaki, Zhengyan Kan, Jun Kusunoki, Jason M. Johnson

Abstract

Acetyl-CoA carboxylases ACC1 and ACC2 catalyze the carboxylation of acetyl-CoA to malonyl-CoA, regulating fatty-acid synthesis and oxidation, and are potential targets for treatment of metabolic syndrome. Expression of ACC1 in rodent lipogenic tissues and ACC2 in rodent oxidative tissues, coupled with the predicted localization of ACC2 to the mitochondrial membrane, have suggested separate functional roles for ACC1 in lipogenesis and ACC2 in fatty acid oxidation. We find, however, that human adipose tissue, unlike rodent adipose, expresses more ACC2 mRNA relative to the oxidative tissues muscle and heart. Human adipose, along with human liver, expresses more ACC2 than ACC1. Using RT-PCR, real-time PCR, and immunoprecipitation we report a novel isoform of ACC2 (ACC2.v2) that is expressed at significant levels in human adipose. The protein generated by this isoform has enzymatic activity, is endogenously expressed in adipose, and lacks the N-terminal sequence. Both ACC2 isoforms are capable of de novo lipogenesis, suggesting that ACC2, in addition to ACC1, may play a role in lipogenesis. The results demonstrate a significant difference in ACC expression between human and rodents, which may introduce difficulties for the use of rodent models for development of ACC inhibitors.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Pakistan 1 2%
Unknown 43 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Ph. D. Student 7 16%
Researcher 6 14%
Student > Doctoral Student 5 11%
Student > Bachelor 3 7%
Other 4 9%
Unknown 10 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 25%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 4 9%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 2 5%
Unknown 14 32%