The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Monoacylglycerol Lipase Regulates a Fatty Acid Network that Promotes Cancer Pathogenesis
Open accessAbstract
Tumor cells display progressive changes in metabolism that correlate with malignancy, including development of a lipogenic phenotype. How stored fats are liberated and remodeled to support cancer pathogenesis, however, remains unknown. Here, we show that the enzyme monoacylglycerol lipase (MAGL) is highly expressed in aggressive human cancer cells and primary tumors, where it regulates a fatty acid network enriched in oncogenic signaling lipids that promotes migration, invasion, survival, and in vivo tumor growth. Overexpression of MAGL in nonaggressive cancer cells recapitulates this fatty acid network and increases their pathogenicity-phenotypes that are reversed by an MAGL inhibitor. Impairments in MAGL-dependent tumor growth are rescued by a high-fat diet, indicating that exogenous sources of fatty acids can contribute to malignancy in cancers lacking MAGL activity. Together, these findings reveal how cancer cells can co-opt a lipolytic enzyme to translate their lipogenic state into an array of protumorigenic signals. PAPERFLICK:
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“An elevated expression of lipoprotein lipase (LPL) and monoacylglycerol lipase (MAGL) across diverse cancer subtypes and correlates with invasiveness”
From The emerging hallmarks of cancer metabolism (2016) · cites this paper as Nomura et al., 2010
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. Adults
Calle, E. E., Rodriguez, C., Walker-Thurmond, K., & Thun, M. J. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa021423 · Cited by 7,696
Eng, J. K., McCormack, A. L., & Yates, J. R. (1994) · Journal of the American Society for Mass Spectrometry · doi:10.1016/1044-0305(94)80016-2 · Cited by 6,484
Smith, C. A., Want, E. J., O’Maille, G., Abagyan, R. A., & Siuzdak, G. E. (2006) · Analytical Chemistry · doi:10.1021/ac051437y · Cited by 5,296
Why Do Cancers Have High Aerobic Glycolysis?
Gatenby, R. A., & Gillies, R. J. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1478 · Cited by 4,784
The Biology of Cancer: Metabolic Reprogramming Fuels Cell Growth and Proliferation
DeBerardinis, R. J., Lum, J. J., Hatzivassiliou, G., & Thompson, C. B. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.002 · Cited by 4,088
Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms
Calle, E. E., & Kaaks, R. (2004) · Nature reviews. Cancer · doi:10.1038/nrc1408 · Cited by 3,613
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
DeBerardinis, R. J., Mancuso, A., Daikhin, E., Nissim, I., Yudkoff, M., Wehrli, S., & Thompson, C. B. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709747104 · Cited by 2,622
A Model for Random Sampling and Estimation of Relative Protein Abundance in Shotgun Proteomics
Liu, H., Sadygov, R. G., & Yates, J. R. (2004) · Analytical Chemistry · doi:10.1021/ac0498563 · Cited by 2,534
Flagged first, then by citations
Research works printed but not linked: 6
- Cociorva, D., and Yates, J.R. (2006). DTASelect 2.0: improving the confidence of peptide and protein identifications. Proceedings of the 54th Annual ASMS Meeting, American Society for Mass Spectrometry, Sante Fe, New Mexico.
- Jessani, N., Liu, Y., Humphrey, M., and Cravatt, B.F. (2002). Enzyme activity profiles of the secreted and membrane proteome that depict cancer cell invasiveness. Proc. Natl. Acad. Sci. USA 99, 10335-10340. · DOI
- Jessani, N., Humphrey, M., McDonald, W.H., Niessen, S., Masuda, K., Gangadharan, B., Yates, J.R., 3rd, Mueller, B.M., and Cravatt, B.F. (2004). Carcinoma and stromal enzyme activity profiles associated with breast tumor growth in vivo. Proc. Natl. Acad. Sci. USA 101, 13756-13761. · DOI
- Jessani, N., Niessen, S., Wei, B.Q., Nicolau, M., Humphrey, M., Ji, Y., Han, W., Noh, D.Y., Yates, J.R., 3rd, Jeffrey, S.S., et al. (2005). A streamlined platform for high-content functional proteomics of primary human specimens. Nat. Methods 2, 691-697. · DOI
- Liu, H., Sadygov, R.G., and Yates, J.R., III. (2004). A model for random sampling and estimation of relative protein abundance in shotgun proteomics. Anal. Chem. 76, 4193-4201. · DOI
- Seftor, E.A., Meltzer, P.S., Kirschmann, D.A., Pe'er, J., Maniotis, A.J., Trent, J.M., Folberg, R., and Hendrix, M.J. (2002). Molecular determinants of human uveal melanoma invasion and metastasis. Clin. Exp. Metastasis 19, 233-246. · DOI
Cited by
Sorted by citations
Items 801–900 of 1,000
Koltai, T., Reshkin, S. J., Baltazar, F., & Fliegel, L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90528-2.00013-8 · Cited by 2
Baenke, F., Dhomen, N. S., Gottlieb, E., & Marais, R. (2019) · Springer eBooks · doi:10.1007/978-1-4614-7322-0_28-2 · Cited by 3
Lin, L., Zeng, X., Liang, S., Wang, Y., Dai, X., Sun, Y., & Wu, Z. (2022) · Annals of Translational Medicine · doi:10.21037/atm-22-4767 · Cited by 3
LIPG endothelial lipase and breast cancer risk by subtypes
Gago-Domínguez, M., Redondo, C. M., Calaza, M., Matabuena, M., Bermúdez, M. A., Pérez-Fernández, R., Torres, M. L., Carracedo, Á., & Castelao, J. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-89669-4 · Cited by 3
Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data
Du, W., Cao, Z., Wang, Y., Zhou, F., Pang, W., Chen, X., Tian, Y., & Liang, Y. (2015) · Cognitive Computation · doi:10.1007/s12559-015-9336-x · Cited by 3
Diet and cancer and heart disease
Crawford, M. A. (2013) · Nutrition and Health · doi:10.1177/0260106014523361 · Cited by 3
Heuer, T. S. (2016) · Journal of Cell Signaling · doi:10.4172/2576-1471.1000124 · Cited by 3
Karageorgos, I. L., Silin, V. I., Zvonok, N., Marino, J. P., Janero, D. R., & Makriyannis, A. (2017) · Analytical Biochemistry · doi:10.1016/j.ab.2017.08.009 · Cited by 3
Immune System, Inflammation, and Essential Fatty Acids and Their Metabolites in Cancer
Das, U. N. (2020) · Springer eBooks · doi:10.1007/978-1-0716-0741-1_3 · Cited by 3
Raman spectroscopic study of benign and malignant ovarian tissues
Fan, L., Wang, H., Wu, X., Wang, S., Han, Y., & Wang, J. (2022) · Laser Physics · doi:10.1088/1555-6611/ac5804 · Cited by 3
Endocannabinoid biochemistry: What do we know after 50 years?
Fezza, F., & Maccarrone, M. (2014) · Wiley eBooks · doi:10.1002/9781118451281.ch3 · Cited by 3
Chemoproteomic Analyses by Activity‐Based Protein Profiling
Killinger, B., Brandvold, K. R., Ramos-Hunter, S. J., & Wright, A. (2019) · Wiley eBooks · doi:10.1002/9781118970195.ch3 · Cited by 3
Metabolic Reprogramming in Cancer
Prusty, D., & Manna, S. K. (2022) · Wiley eBooks · doi:10.1002/9781119851042.ch25 · Cited by 3
A carrier free delivery system of a MAGL inhibitor is effective on ovarian cancer
Palazzolo, S., Saorin, G., Corona, G., Granchi, C., Tuccinardi, T., Kamenšek, U., Kranjc, S., Čemažar, M., Canzonieri, V., & Rizzolio, F. (2024) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/j.ejpb.2024.114397 · Cited by 2
Zhao, X., Wu, J., Lai, J., Pan, B., Ji, M., Li, X., He, Y., & Han, J. (2024) · Advanced Science · doi:10.1002/advs.202408007 · Cited by 2
Yan, K., Zhang, W., Chu, W., Qi, J., Song, H., & Xu, X. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02597-4 · Cited by 3
Komatsu, T., & Urano, Y. (2026) · RSC Chemical Biology · doi:10.1039/d6cb00125d · Cited by 2
Monoacylglycerol as a Metabolic Coupling Factor in Glucose-Stimulated Insulin Secretion
Zhao, S., Iglesias, J., Mugabo, Y., Peyot, M., Joly, E. C., Madiraju, S. R. M., & Prentki, M. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.03.019 · Cited by 2
Baenke, F., Dhomen, N. S., Gottlieb, E., & Marais, R. (2019) · Springer eBooks · doi:10.1007/978-1-4614-7147-9_28 · Cited by 3
Afshar, S., Abbasinazari, M., Amin, G., Farrokhian, A., Sistanizad, M., Afshar, F., & Khalili, S. (2022) · Cell Biochemistry and Function · doi:10.1002/cbf.3754 · Cited by 2
Role of key endocannabinoids and their receptors in breast cancer
Akimov, M., Dudina, P. V., V’yunova, T. V., Kalueff, A. V., Gretskaya, N. M., & Безуглов, В. В. (2024) · Reviews on Clinical Pharmacology and Drug Therapy · doi:10.17816/rcf623144 · Cited by 2
Song, J., Zhai, T., Hahm, H. S., Li, Y., Mao, H. Z., Wang, X., Jo, J., & Chang, J. W. (2024) · Angewandte Chemie · doi:10.1002/ange.202410645 · Cited by 2
Rational Development of MAGL Inhibitors
Granchi, C., Rizzolio, F., Caligiuri, I., Macchia, M., Martinelli, A., Minutolo, F., & Tuccinardi, T. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-8630-9_20 · Cited by 2
Stimulated Raman scattering imaging of cancer metabolism: New avenue to precision medicine
Yue, S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85158-9.00027-0 · Cited by 2
Leah, E. (2010) · Nature reviews. Cancer · doi:10.1038/nrc2811 · Cited by 2
Disturbances in endocannabinoid metabolism causes autosomal recessive neurodegeneration
Metzler, M. (2010) · Clinical Genetics · doi:10.1111/j.1399-0004.2010.01611.x · Cited by 2
Cancer Biology: Some Causes for a Variety of Different Diseases
Okal, A., Reaz, S., & Lim, C. S. (2013) · Springer eBooks · doi:10.1007/978-1-4614-7876-8_5 · Cited by 2
Chemical Genetic Approaches for the Investigation of Neutral Lipid Metabolism
Doler, C., Schweiger, M., Zimmermann, R., & Breinbauer, R. (2015) · ChemBioChem · doi:10.1002/cbic.201500501 · Cited by 2
Serum Fatty Acid Synthase as a Marker of Esophageal Neoplasia
Orita, H., & Brock, M. V. (2016) · Hereditary Genetics · doi:10.4172/2161-1041.1000160 · Cited by 2
Metabolic reprogramming and immunity in cancer
Chen, Y., & Li, Y. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823397-9.00006-5 · Cited by 2
Evers, P., & Pezacki, J. P. (2023) · Israel Journal of Chemistry · doi:10.1002/ijch.202200088 · Cited by 2
Precision Nutrition and Cancer
Heber, D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15315-0.00006-7 · Cited by 2
Formation and Function of Lipid Droplets in Inflammation and Cancer
Viola, J. P. B., Cruz, A. L. S., Werneck, M. B. F., & Bozza, P. T. (2013) · Springer eBooks · doi:10.1007/978-94-007-6211-4_6 · Cited by 2
The Endocannabinoid System in Carcinogenesis
Schicho, R. (2017) · Springer eBooks · doi:10.1007/978-3-319-53659-0_1 · Cited by 2
Overview of Positron-Emission Tomography Tracers for Metabolic Imaging
Parent, E. E., & McConathy, J. (2017) · Springer eBooks · doi:10.1007/978-3-319-61401-4_3 · Cited by 2
MLL4 is a critical mediator of differentiation and ferroptosis in the epidermisPreprint
Egolf, S., Zou, J., Anderson, A., Aubert, Y., Ge, K., Seykora, J. T., & Capell, B. C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.03.442432 · Cited by 2
Inhibitors of lipogenic enzymes as a potential therapy against cancer
Montesdeoca, N., López, M., Ariza, X., Herrero, L., & Makowski, K. (2020) · doi:10.26226/morressier.5f6c5f439b74b699bf390b40 · Cited by 2
Singh, H., Wiscovitch-Russo, R. A., Kuelbs, C., Espinoza, J. L., Appel, A. E., Lyons, R. J., Vashee, S., Förtsch, H. E. A., Foster, J. E., Ramdath, D. D., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.03.611095 · Cited by 3
Aljuaid, N., Seitsonen, J. J. T., Ruokolainen, J., Greco, F., & Hamley, I. W. (2022) · ACS Omega · doi:10.1021/acsomega.2c05940 · Cited by 1
Intracellular lipid storage and utilization in adipocytes
Sharma, V. M., Ntambi, J. M., & Puri, V. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-95582-9.00011-5 · Cited by 1
Vanisree, A. J., Thamizhoviya, G., & Thiruvalluvan, A. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04538-1 · Cited by 1
Song, C., Yang, N., Deng, H., & Lei, Q. (2025) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2025.118237 · Cited by 1
Research status of NIR-II fluorescent probe in liver cancer imaging
Yu, J., Yang, J., Qian, J., Song, Y., Peng, C., Sun, B., Duan, X., & Liu, S. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000003868 · Cited by 1
Lipid metabolism in cancer is regulated by the integrated natural product–miRNA–target axis
Chuang, Y.-T., Yen, C.-Y., Tsai, Y., Chang, F., Farooqı, A. A., & Chang, H.-W. (2025) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2025.11.024 · Cited by 1
m6A-metabolite axes in depression: METTL14 network dysregulation and RBM15 lipid protection
Wei, X., & Qin, W. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120981 · Cited by 1
Disulfiram and Its Derivatives: An Immortal Phoenix of Drug Repurposing
Omran, Z., & Abdullah, O. (2026) · Pharmaceuticals · doi:10.3390/ph19020200 · Cited by 2
Pareek, A., Gupta, R., Pareek, A., Wilkerson, J., McMahon, L. R., Sethi, G., & Chuturgoon, A. (2026) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2026.105027 · Cited by 1
Buendia-Nacarino, M. P., García, R. Á.-F., Martínez‐López, A., Castillo‐Lluva, S., GONZÁLEZ, B., & Luque-Garcia, J. L. (2026) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2026.115613 · Cited by 1
Bertoldi, A., Calzoni, E., Cusumano, G., Alabed, H. B. R., Pellegrino, R. M., Emiliani, C., & Urbanelli, L. (2026) · Nanomaterials · doi:10.3390/nano16070394 · Cited by 1
Xue, Y., Yu, J., Zhou, H., Chen, W., Qi, C. H. E. N., Hu, L., Luo, R., Chen, Y., Wang, X., & He, X. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1803792 · Cited by 1
Reverse activity-based protein profiling identifies a class of METTL16 covalent inhibitors
Zhang, J., Liu, F., Zhang, Q., Chai, X., Huang, J., Zhuo, X., Tang, H., Liao, J., Dai, L., Li, Z., et al. (2026) · Cancer Bioscience · doi:10.1016/j.cbs.2026.100001 · Cited by 1
Pham, J. A., Thaingtamtanha, T., McLeish, W., Lefebvre, D., Uguccioni, S. M., Filip, R., Gentile, F., & Pezacki, J. P. (2026) · Journal of the American Chemical Society · doi:10.1021/jacs.5c22859 · Cited by 1
Recent Advances in the Synthesis of Hexafluoroisopropyl‐Substituted Compounds
MacKenzie, I. (2026) · Israel Journal of Chemistry · doi:10.1002/ijch.70034 · Cited by 1
Scaling covalent ligand discovery through dynamic combinatorial library-versus-proteome screening
Huang, Y., Hou, L., He, R., Zhu, L., Xu, C., Duan, S., Hu, J., Yang, X. Y., Tsai, Y., Wang, C., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74672-y · Cited by 1
Endocannabinoids in the pathophysiology of obesity – The liver
Mallat, A., & Lotersztajn, S. (2010) · Drug Discovery Today Disease Mechanisms · doi:10.1016/j.ddmec.2010.11.001 · Cited by 1
YAP-mediated induction of monoacylglycerol lipase restrains oncogenic transformation
Tang, E., & Wang, C. (2015) · Cellular Signalling · doi:10.1016/j.cellsig.2015.01.011 · Cited by 1
Wcisło, G., & Szarlej-Wcisło, K. (2016) · Elsevier eBooks · doi:10.1016/b978-1-63067-036-8.00029-9 · Cited by 1
Nagano, J. M. G., Hsu, K., Speers, A. E., Brown, S. J., Spicer, T., Fernández-Vega, V., Ferguson, J., Bahnson, B. J., Cravatt, B. F., Hodder, P., et al. (2014) · Europe PMC (PubMed Central) · Cited by 1
Self-citationOverview of Obesity, Inflammation, and Cancer
Paredes‐Gonzalez, X., Khor, T. O., Shu, L., Saw, C. L. L., & Kong, A. N. T. (2013) · CRC Press eBooks · doi:10.1201/b15323-4 · Cited by 1
Role of the Cannabinoid System in the Limbic System
Azimi, M., Dowom, P. B., Abdal, K., & Darvishi, M. (2018) · The Neuroscience Journal of Shefaye Khatam · doi:10.29252/shefa.6.1.61 · Cited by 1
Koltai, T., Reshkin, S. J., Baltazar, F., & Fliegel, L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-90528-2.00012-6 · Cited by 2
Gouw, A. M., Kumar, V., Resendez, A., Alvina, F. B., Liu, N. S., Margulis, K., Tong, L., Zare, R. N., Malhotra, S. V., & Felsher, D. W. (2022) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.1c00673 · Cited by 2
The Uses of Cannabinoids in Medicine and Their Spectroscopic Applications
Er, A., & Çeli̇k, S. (2023) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/978-1-6684-5652-1.ch010 · Cited by 1
Scott, H. C., Draganov, S. D., Yu, Z., Kessler, B. M., & Pinto-Fernández, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242115513 · Cited by 1
Salah, R. A., El-Derby, A. M., El-Gammal, Z., Wadie, B., Ahmed, S. M., Elshenawy, S. E., Magdy, S., Salah, A., Gabr, M., Mohamed, I. K., et al. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24794 · Cited by 1
Phan, M., Gomes, M. A., Stinnett, V., Morsberger, L. A., Hoppman, N. L., Pearce, K. E., Smith, K., Phan, B., Jiang, L., & Zou, Y. S. (2024) · Biomedicines · doi:10.3390/biomedicines12030598 · Cited by 2
Genetic heterogeneity and metabolic reprogramming in breast cancer
Dolaş, Y., Buruş, A., & Çeltikçi, B. (2024) · Acta Medica · doi:10.32552/2024.actamedica.1060 · Cited by 1
3D-QSAR study of benzotriazol-1-yl carboxamide scaffold as monoacylglycerol lipase inhibitors
Bawa, S., Afzal, O., Kumar, S., Kumar, R., & Jaggi, M. (2014) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/0975-7406.142957 · Cited by 1
Use of X-ray Diffraction Technique of Hair for Oral Cancer Detection: A Proposal
Maniyar, N., & Roopa, N. M. (2019) · The Journal of Contemporary Dental Practice · doi:10.5005/jp-journals-10024-2509 · Cited by 1
Investigação do perfil de expressão gênica e protéica de componentes do microambiente tumoral
da Cunha, B. R. (2011) · doi:10.11606/d.41.2011.tde-02042012-110841 · Cited by 1
Control of analgesic and anti-inflammatory pathways by fatty acid amide hydrolase
Long, J. H. (2012) · Cited by 1
Self-citationRole of membranes in mammalian stress response: sensing, lipid signals and adaptation
Balogh, G. E. (2011) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 1
Lipidomics for Health and Disease
(2016) · Wiley eBooks · doi:10.1002/9781119085263.ch17 · Cited by 1
The Role of the Endocannabinoid System in the Gynaecological MalignancyPreprint
Grauso, F., Autiero, R., Lannino, G. R., Zizolfi, B., Perone, C., & Messalli, E. M. (2018) · Preprints.org · doi:10.20944/preprints201806.0001.v1 · Cited by 1
A novel innate lymphoid cell delineates childhood autoimmune arthritisPreprint
Velasco‐Herrera, M. D. C., Young, M. D., Braga, F. A. V., Rosser, E. C., Miranda, E., Marshall, L. R., Wilkinson, M. G. L., Mamanova, L., Efremova, M., Vento‐Tormo, R., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/416784 · Cited by 1
Enhanced Monoacylglycerol Lipolysis by ABHD6 Promotes NSCLC PathophysiologyPreprint
Tang, Z., Xie, H., Heier, C., Huang, J., Zheng, Q., Eichmann, T. O., Schoiswohl, G., Chang, P., Zechner, R., Ni, S., et al. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3353706 · Cited by 1
Ruidas, B., Sur, T. K., Mukhopadhyay, C. D., Sinha, K., Chaudhury, S. S., Sharma, P., Bhowmick, S., Saha, A., & Majumder, R. (2021) · Research Square · doi:10.21203/rs.3.rs-849234/v1 · Cited by 1
Ruidas, B., Choudhury, N., Chaudhury, S. S., Sur, T. K., Bhowmick, S., Saha, A., Das, P., De, P., & Mukhopadhyay, C. D. (2022) · doi:10.22541/au.164922125.58119911/v1 · Cited by 1
Activity‐Based Protein Profiling
(2004) · Encyclopedic Dictionary of Genetics, Genomics and Proteomics · doi:10.1002/0471684228.egp00145 · Cited by 1
Zhai, Y., Zhang, X., Yan, D., Wang, X., Tian, K., Zhang, Z., Huang, Y. X., Sun, W. C., Yang, X., Wang, D., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2981935/v1 · Cited by 1
Steigerwald, H., Bozzetti, T., Tams, M., On, J., Hoffmann, G., Lambertz, J., Weidele, K., Treitschke, S., Reinhard, F., Kulik, A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.01.560038 · Cited by 1
Gui, Y., Hou, R., Huang, Y., Zhou, Y., Liu, S., Meng, L., Li, Y., Lam, F. S., Wong, C. S., Yin, C. T., et al. (2024) · ChemRxiv · doi:10.26434/chemrxiv-2024-3mrz3 · Cited by 1
Domínguez, E. (2012) · Wiley eBooks · doi:10.1002/9781118185537.ch7
Cancer: Growing on a free-fat diet
Leah, E. (2010) · Lipidomics Gateway · doi:10.1038/lipidmaps.2010.2
P4‐190: Monoacylglycerol lipase contributes to pathogenesis of Alzheimer's disease
Chen, R., Zhang, J., Wu, Y., Wang, D., Feng, G., Tang, Y., & Chen, C. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.1894
Aaltonen, N. (2013) · UEF eRepo (University of Eastern Finland)
Mapping Dysregulated Metabolic Pathways in Cancer Using Functional Metabolomic Platforms
Benjamin, D. I. (2015) · eScholarship (California Digital Library)
Hunerdosse, D. M. (2015) · eScholarship (California Digital Library)
Accumulation and metabolism of neutral lipids in obesity
Douglass, J. D. (2014) · doi:10.7282/t3d798hp
Applications for Activity-based Probes in Drug Discovery
Edgington‐Mitchell, L. E., & Bogyo, M. S. (2010) · Royal Society of Chemistry eBooks · doi:10.1039/9781849732178-00033
DESIGN, EXPRESSION AND PURIFICATION OF FUNCTIONAL HUMAN CANNABINOID RECEPTOR 2
Alqarni, M. A. (2016) · D-Scholarship@Pitt (University of Pittsburgh)
Target/s Identification Approaches – Experimental Biological Approaches
Superti‐Furga, G., Huber, K., & Winter, G. E. (2012) · Royal Society of Chemistry eBooks · doi:10.1039/9781849734912-00094
Cancer Chemoprevention w ith Nuts
Falasca, M. (2014)
7 Vetzuur- en cholesterolsynthese
Schuit, F. C. (2010) · Bohn Stafleu van Loghum eBooks · doi:10.1007/978-90-313-8225-5_7
Targeting One-Carbon Metabolism in Breast Cancer
Freinkman, E. (2014) · Defense Technical Information Center (DTIC) · doi:10.21236/ada600483
Claessen, J. H. L., & Witte, M. D. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-6439-0_13
Metadata
- Authors
- Nomura, D. K., Long, J. Z., Niessen, S., Hoover, H. S., Ng, S.-W., & Cravatt, B. F.
- Affiliations
- Scripps Research Institute (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Cravatt, Benjamin F.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 140
- Issue
- 1
- Pages
- 49-61
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2885975
- OpenAlex
- W2127624416
- Cited by
- 1,002
- References
- 69
- Citations by year
- 2026: 40 · 2025: 41 · 2024: 55 · 2023: 46 · 2022: 59 · 2021: 78 · 2020: 69 · 2019: 67 · 2018: 69 · 2017: 60 · 2016: 75 · 2015: 72 · 2014: 70 · 2013: 61 · 2012: 47
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1293 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (R01CA132630, CA-087660, R37CA087660, R01CA087660, CA132630)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Lipids, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biochemistry › Lipid metabolism and biosynthesis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sphingolipid Metabolism and Signaling
- Keywords
- monoacylglycerol lipase, fatty acid metabolism, lipolysis, tumor cell migration and invasion, tumor growth, MAGL inhibitors, high-fat diet, cancer metabolism
- MeSH terms
- Animals, Cell Line, Fatty Acids, Female, Humans, Monoacylglycerol Lipases, Neoplasm Transplantation, Ovarian Neoplasms, Transplantation, Heterologous, Tumor Cells, Cultured, Monoglycerides, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review