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The subcellular localization of acetyl-CoA carboxylase 2
Open accessAbstract
Animals, including humans, express two isoforms of acetyl-CoA carboxylase (EC 6.4.1.2 ), ACC1 ( M r = 265 kDa) and ACC2 ( M r = 280 kDa). The predicted amino acid sequence of ACC2 contains an additional 136 aa relative to ACC1, 114 of which constitute the unique N-terminal sequence of ACC2. The hydropathic profiles of the two ACC isoforms generally are comparable, except for the unique N-terminal sequence in ACC2. The sequence of amino acid residues 1–20 of ACC2 is highly hydrophobic, suggesting that it is a leader sequence that targets ACC2 for insertion into membranes. The subcellular localization of ACC2 in mammalian cells was determined by performing immunofluorescence microscopic analysis using affinity-purified anti-ACC2-specific antibodies and transient expression of the green fluorescent protein fused to the C terminus of the N-terminal sequences of ACC1 and ACC2. These analyses demonstrated that ACC1 is a cytosolic protein and that ACC2 was associated with the mitochondria, a finding that was confirmed further by the immunocolocalization of a known human mitochondria-specific protein and the carnitine palmitoyltransferase 1. Based on analyses of the fusion proteins of ACC–green fluorescent protein, we concluded that the N-terminal sequences of ACC2 are responsible for mitochondrial targeting of ACC2. The association of ACC2 with the mitochondria is consistent with the hypothesis that ACC2 is involved in the regulation of mitochondrial fatty acid oxidation through the inhibition of carnitine palmitoyltransferase 1 by its product malonyl-CoA.
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Cites
The Mitochondrial Carnitine Palmitoyltransferase System — From Concept to Molecular Analysis
McGarry, J. D., & Brown, N. F. (1997) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1997.00001.x · Cited by 1,616
A possible role for malonyl-CoA in the regulation of hepatic fatty acid oxidation and ketogenesis.
McGarry, J. D., Mannaerts, G. P., & Foster, D. W. (1977) · Journal of Clinical Investigation · doi:10.1172/jci108764 · Cited by 736
Cited by
Molecular mediators of hepatic steatosis and liver injury
Browning, J. D., & Horton, J. D. (2004) · Journal of Clinical Investigation · doi:10.1172/jci200422422 · Cited by 1,772
McGarry, J. D. (2002) · Diabetes · doi:10.2337/diabetes.51.1.7 · Cited by 1,435
Continuous fatty acid oxidation and reduced fat storage in mice lacking acetyl-CoA carboxylase 2
Abu-Elheiga, L., Matzuk, M. M., Abo-Hashema, K. A. H., & Wakil, S. J. (2001) · Science · doi:10.1126/science.1056843 · Cited by 903
Self-citationThe randle cycle revisited: a new head for an old hat.
Hue, L., & Taegtmeyer, H. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00093.2009 · Cited by 743
Fatty acid metabolism: Target for metabolic syndrome
Wakil, S. J., & Abu-Elheiga, L. A. (2009) · Journal of Lipid Research · doi:10.1194/jlr.r800079-jlr200 · Cited by 731
Self-citationTomlinson, E., Fu, L., John, L., Hultgren, B., Huang, X., Renz, M., Stephan, J. P., Tsai, S. P., Powell-Braxton, L., French, D., et al. (2002) · Endocrinology · doi:10.1210/endo.143.5.8850 · Cited by 576
Davis, M. S., Solbiati, J., & Cronan, J. E. (2000) · Journal of Biological Chemistry · doi:10.1074/jbc.m004756200 · Cited by 479
An, J., Muoio, D. M., Shiota, M., Fujimoto, Y., Cline, G. W., Shulman, G. I., Koves, T. R., Stevens, R., Millington, D., & Newgard, C. B. (2004) · Nature Medicine · doi:10.1038/nm995 · Cited by 450
The lipid biochemistry of eukaryotic algae
Li-Beisson, Y., Thelen, J. J., Fedosejevs, E., & Harwood, J. L. (2019) · Progress in Lipid Research · doi:10.1016/j.plipres.2019.01.003 · Cited by 453
Savage, D. B. (2006) · Journal of Clinical Investigation · doi:10.1172/jci27300 · Cited by 447
Kim, C.-W., Addy, C., Kusunoki, J., Anderson, N. N., Deja, S., Fu, X., Burgess, S. C., Li, C., Ruddy, M., Chakravarthy, M., et al. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.07.009 · Cited by 419
Abu-Elheiga, L., Oh, W., Kordari, P., & Wakil, S. J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1733877100 · Cited by 389
Self-citationLoomba, R., Kayali, Z., Noureddin, M., Ruane, P., Lawitz, E. J., Bennett, M., Wang, L., Harting, E., Tarrant, J. M., McColgan, B. J., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.07.027 · Cited by 340
Malonyl-CoA, a Key Signaling Molecule in Mammalian Cells
Saggerson, D. (2008) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.28.061807.155434 · Cited by 301
Harriman, G., Greenwood, J., Bhat, S., Huang, X., Wang, R., Paul, D., Tong, L., Saha, A. K., Westlin, W. F., Kapeller, R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520686113 · Cited by 287
Mao, J., DeMayo, F. J., Li, H., Abu-Elheiga, L., Gu, Z., Shaikenov, T. E., Kordari, P., Chirala, S. S., Heird, W. C., & Wakil, S. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603115103 · Cited by 285
Self-citationMitochondrial sirtuins: regulators of protein acylation and metabolism
He, W., Newman, J. C., Wang, M. Z., Ho, L., & Verdin, E. (2012) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2012.07.004 · Cited by 262
Expression and nutritional regulation of lipogenic genes in the ruminant lactating mammary gland
Bernard, L., Leroux, C., & Chilliard, Y. (2007) · Advances in Experimental Medicine and Biology · doi:10.1007/978-0-387-74087-4_2 · Cited by 249
DeBerardinis, R. J., Lum, J. J., & Thompson, C. B. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m608372200 · Cited by 221
Calle, R. A., Amin, N. B., Carvajal-Gonzalez, S., Ross, T. T., Bergman, A., Aggarwal, S., Crowley, C., Rinaldi, A., Mancuso, J., Aggarwal, N., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01489-1 · Cited by 219
Acetyl-coenzyme A carboxylases: versatile targets for drug discovery
Tong, L., & Harwood, H. J. (2006) · Journal of Cellular Biochemistry · doi:10.1002/jcb.21077 · Cited by 207
AMP-activated protein kinase: a key system mediating metabolic responses to exercise
HARDIE, D. G. (2004) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000106171.38299.64 · Cited by 165
Alkhouri, N., Lawitz, E., Noureddin, M., DeFronzo, R., & Shulman, G. I. (2020) · Expert Opinion on Investigational Drugs · doi:10.1080/13543784.2020.1668374 · Cited by 162
AMPK‐independent pathways regulate skeletal muscle fatty acid oxidation
Dzamko, N., Schertzer, J. D., Ryall, J. G., Steel, R., Macaulay, S. L., Wee, S., Chen, Z., Michell, B. J., Oakhill, J. S., Watt, M. J., et al. (2008) · The Journal of Physiology · doi:10.1113/jphysiol.2008.159814 · Cited by 147
Boucher, A., Lu, D., Burgess, S. C., Telemaque-Potts, S., Jensen, M. V., Mulder, H., Wang, M.-Y., Unger, R. H., Sherry, A. D., & Newgard, C. B. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m401167200 · Cited by 136
Kim, C.-W., Moon, Y.-A., Park, S. W., Cheng, D., Kwon, H. J., & Horton, J. D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001292107 · Cited by 136
3,5‐Diiodo‐ L ‐thyronine powerfully reduces adiposity in rats by increasing the burning of fats
Lanni, A., Moreno, M., Lombardi, A., De Lange, P., Silvestri, E., Ragni, M., Farina, P., Baccari, G. C., Fallahi, P., Antonelli, A., et al. (2005) · The FASEB Journal · doi:10.1096/fj.05-3977fje · Cited by 134
Gene knockout of Acc2 has little effect on body weight, fat mass, or food intake
Olson, D. P., Pulinilkunnil, T., Cline, G. W., Shulman, G. I., & Lowell, B. B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913492107 · Cited by 109
Lee-Young, R. S., Canny, B. J., Myers, D. E., & McConell, G. K. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.91208.2008 · Cited by 77
Reduced heart size and increased myocardial fuel substrate oxidation in ACC2 mutant mice
Essop, M. F., Camp, H. S., Choi, C. S., Sharma, S., Fryer, R. M., Reinhart, G. A., Guthrie, P. H., Bentebibel, A., Gu, Z., Shulman, G. I., et al. (2008) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.91489.2007 · Cited by 40
Self-citationChalvon-Demersay, T., Even, P. C., Tomé, D., Chaumontet, C., Piedcoq, J., Gaudichon, C., & Azzout-Marniche, D. (2016) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2016.07.002 · Cited by 37
Liu, T., Gou, L., Yan, S., & Huang, T. (2020) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2020.8700 · Cited by 15
CLPX regulates mitochondrial fatty acid β-oxidation in liver cells
Suzuki, K., Kubota, Y., Kaneko, K., Kamata, C. C., & Furuyama, K. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105210 · Cited by 7
Metadata
- Authors
- Abu-Elheiga, L., Brinkley, W. R., Zhong, L., Chirala, S. S., Woldegiorgis, G., & Wakil, S. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2000-02-15
- Volume
- 97
- Issue
- 4
- Pages
- 1444-1449
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1982126966
- Cited by
- 453
- References
- 2
- FWCI
- 3.69
- Type
- journal article
- Language
- en
- Open access
- green
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