Metabolomics: A Primer
Open accessAbstract
Metabolomics generates a profile of small molecules that are derived from cellular metabolism and can directly reflect the outcome of complex networks of biochemical reactions, thus providing insights into multiple aspects of cellular physiology. Technological advances have enabled rapid and increasingly expansive data acquisition with samples as small as single cells; however, substantial challenges in the field remain. In this primer we provide an overview of metabolomics, especially mass spectrometry (MS)-based metabolomics, which uses liquid chromatography (LC) for separation, and discuss its utilities and limitations. We identify and discuss several areas at the frontier of metabolomics. Our goal is to give the reader a sense of what might be accomplished when conducting a metabolomics experiment, now and in the near future.
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Non-targeted metabolomics methods have gained significant improvement over the last decade with regards to metabolite coverage, annotation rates, and standardization of data acquisition, analysis and FAIR data sharing.
“Non-targeted metabolomics methods have gained significant improvement over the last decade with regards to metabolite coverage, annotation rates as well as standardization of data acquisition, analysis and FAIR data sharing.171,172”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [171]
The 'Challenges and future directions' section reports substantial progress in metabolomics, efforts to cover more metabolites, and work toward better data standardization. The 'From mass spectrometry data to metabolite profiling' section also describes advances in untargeted feature identification. Our copy does not establish improved annotation rates or standardization of acquisition and analysis, and it does not discuss FAIR data sharing; it presents some standardization as work still needed. Page numbers are unavailable in our copy. (LLM, conf=0.84)
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A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888 · see citing works
Comprehensive genomic characterization defines human glioblastoma genes and core pathways
The Cancer Genome Atlas Research Network (2008) · Nature · doi:10.1038/nature07385 · Cited by 7,735 · see citing works
Regulation of cancer cell metabolism
Cairns, R. A., Harris, I. S., & Mak, T. W. (2011) · Nature Reviews Cancer · doi:10.1038/nrc2981 · Cited by 4,744 · see citing works
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154 · see citing works
DrugBank: a comprehensive resource for in silico drug discovery and exploration
Wishart, D. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj067 · Cited by 3,892 · see citing works
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis
Tsugawa, H., Čajka, T., Kind, T., Ma, Y., Higgins, B. T., Ikeda, K., Kanazawa, M., VanderGheynst, J. S., Fiehn, O., & Arita, M. (2015) · Nature Methods · doi:10.1038/nmeth.3393 · Cited by 3,423 · see citing works
Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165 · see citing works
Metabolite profiles and the risk of developing diabetes
Wang, T. J., Larson, M. G., Vasan, R. S., Cheng, S., Rhee, E. P., McCabe, E., Lewis, G. D., Fox, C. S., Jacques, P. F., Fernandez, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2307 · Cited by 3,143 · see citing works
Data, information, knowledge and principle: back to metabolism in KEGG
Kanehisa, M. I., Goto, S., Sato, Y., Kawashima, M., Furumichi, M., & Tanabe, M. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1076 · Cited by 3,103 · see citing works
Personalized nutrition by prediction of glycemic responses
Zeevi, D., Korem, T., Zmora, N., Israeli, D., Rothschild, D., Weinberger, A., Ben-Yacov, O., Lador, D., Avnit-Sagi, T., Lotan-Pompan, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.001 · Cited by 2,929 · see citing works
HMDB 3.0—The Human Metabolome Database in 2013
Wishart, D. S., Jewison, T., Guo, A. C., Wilson, M., Knox, C., Liu, Y., Djoumbou-Feunang, Y., Mandal, R., Aziat, F., Dong, E., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1065 · Cited by 2,845 · see citing works
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829 · see citing works
Metabolomics: the apogee of the omics trilogy
Patti, G. J., Yanes, Ó., & Siuzdak, G. E. (2012) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3314 · Cited by 2,605 · see citing works
MassBank: a public repository for sharing mass spectral data for life sciences
Horai, H., Arita, M., Kanaya, S., Nihei, Y., Ikeda, T., Suwa, K., Ojima, Y., Tanaka, K., Tanaka, S., Aoshima, K., et al. (2010) · Journal of Mass Spectrometry · doi:10.1002/jms.1777 · Cited by 2,529 · see citing works
METLIN—a metabolite mass spectral database
Smith, C. A., Maille, G. O., Want, E. J., Qin, C., Trauger, S. A., Brandon, T. R., Custodio, D. E., Abagyan, R., & Siuzdak, G. (2005) · Therapeutic Drug Monitoring · doi:10.1097/01.ftd.0000179845.53213.39 · Cited by 2,226 · see citing works
Gas chromatography mass spectrometry–based metabolite profiling in plants
Lisec, J., Schauer, N., Kopka, J., Willmitzer, L., & Fernie, A. R. (2006) · Nature Protocols · doi:10.1038/nprot.2006.59 · Cited by 2,176 · see citing works
Organoid models of human and mouse ductal pancreatic cancer
Boj, S. F., Hwang, C.-I., Baker, L. A., Chio, I. I. C., Engle, D. D., Corbo, V., Jager, M., Ponz-Sarvise, M., Tiriac, H., Spector, M. S., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.021 · Cited by 2,150 · see citing works
Jha, A. K., Huang, S. C.-C., Sergushichev, A., Lampropoulou, V., Ivanova, Y., Loginicheva, E., Chmielewski, K., Stewart, K. M., Ashall, J., Everts, B., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.02.005 · Cited by 2,066 · see citing works
IDH mutation impairs histone demethylation and results in a block to cell differentiation
Lu, C., Ward, P. S., Kapoor, G. S., Rohle, D., Turcan, S., Abdel-Wahab, O., Edwards, C. R., Khanin, R., Figueroa, M. E., Melnick, A., et al. (2012) · Nature · doi:10.1038/nature10860 · Cited by 1,985 · see citing works
Blundell, J. E., Baker, J. L., Boyland, E. J., Blaak, E. E., Charzewska, J., Henauw, S. D., Frühbeck, G., González‐Gross, M., Hebebrand, J., Holm, L., et al. (2017) · Obesity Facts · doi:10.1159/000455952 · Cited by 1,980 · see citing works
Reductive glutamine metabolism by IDH1 mediates lipogenesis under hypoxia
Metallo, C. M., Gameiro, P. A., Bell, E. L., Mattaini, K. R., Yang, J., Hiller, K., Jewell, C. M., Johnson, Z. R., Irvine, D. J., Guarente, L., et al. (2012) · Nature · doi:10.1038/nature10602 · Cited by 1,791 · see citing works
Update of the LIPID MAPS comprehensive classification system for lipids
Fahy, E., Subramaniam, S., Murphy, R. C., Nishijima, M., Raetz, C. R. H., Shimizu, T., Spener, F., Gerrit van, M. E. E. R., Wakelam, M. J. O., & Dennis, E. A. (2008) · Journal of Lipid Research · doi:10.1194/jlr.r800095-jlr200 · Cited by 1,766 · see citing works
Psychogios, N., Hau, D., Peng, J., Guo, A. C., Mandal, R., Bouatra, S., Sinelnikov, I. V., Krishnamurthy, R., Eisner, R., Gautam, B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016957 · Cited by 1,718 · see citing works
Ion Suppression in Mass Spectrometry
Annesley, T. M. (2003) · Clinical Chemistry · doi:10.1373/49.7.1041 · Cited by 1,598 · see citing works
An atlas of genetic influences on human blood metabolites
The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Shin, S.-Y., Fauman, E. B., Petersen, A.-K., Krumsiek, J., Santos, R., Huang, J., Arnold, M., Erte, I., Forgetta, V., et al. (2014) · Nature Genetics · doi:10.1038/ng.2982 · Cited by 1,515 · see citing works
Olsen, J. V., de Godoy, L. M. F., Li, G., Maček, B., Mortensen, P., Pesch, R., Makarov, A., Lange, O., Horning, S. R., & Mann, M. (2005) · Molecular & Cellular Proteomics · doi:10.1074/mcp.t500030-mcp200 · Cited by 1,513 · see citing works
Emerging applications of metabolomics in drug discovery and precision medicine
Wishart, D. S. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.32 · Cited by 1,499 · see citing works
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403 · see citing works
Reductive carboxylation supports growth in tumour cells with defective mitochondria
Mullen, A. R., Wheaton, W. W., Jin, E. S., Chen, P.-H., Sullivan, L. B., Cheng, T., Yang, Y., Linehan, W. M., Chandel, N. S., & DeBerardinis, R. J. (2012) · Nature · doi:10.1038/nature10642 · Cited by 1,328 · see citing works
Metabolic heterogeneity in human lung tumors
Hensley, C. T., Faubert, B., Yuan, Q., Lev-Cohain, N., Jin, E., Kim, J., Jiang, L., Ko, B., Skelton, R., Loudat, L., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.034 · Cited by 1,138 · see citing works
Yuan, M., Breitkopf, S. B., Yang, X., & Asara, J. M. (2012) · Nature Protocols · doi:10.1038/nprot.2012.024 · Cited by 1,122 · see citing works
Quantitative flux analysis reveals folate-dependent NADPH production
Fan, J., Ye, J., Kamphorst, J. J., Shlomi, T., Thompson, C. B., & Rabinowitz, J. D. (2014) · Nature · doi:10.1038/nature13236 · Cited by 1,114 · see citing works
Human metabolic individuality in biomedical and pharmaceutical research
CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature · doi:10.1038/nature10354 · Cited by 1,017 · see citing works
Sud, M., Fahy, E., Cotter, D., Azam, K., Vadivelu, I., Burant, C., Edison, A. S., Fiehn, O., Higashi, R. M., Nair, K. S., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1042 · Cited by 1,008 · see citing works
Hirayama, A., Kami, K., Sugimoto, M., Sugawara, M., Toki, N., Onozuka, H., Kinoshitá, T., Saito, N., Ochiai, A., Tomita, M., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-4806 · Cited by 959 · see citing works
Yun, J., Mullarky, E., Lu, C., Bosch, K. N., Kavalier, A., Rivera, K., Roper, J., Chio, I. I. C., Giannopoulou, E. G., Rago, C., et al. (2015) · Science · doi:10.1126/science.aaa5004 · Cited by 913 · see citing works
Dunn, W. B., Broadhurst, D., Atherton, H. J., Goodacre, R., & Griffin, J. L. (2010) · Chemical Society Reviews · doi:10.1039/b906712b · Cited by 870 · see citing works
Čajka, T., & Fiehn, O. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b04491 · Cited by 839 · see citing works
Michalski, A., Damoc, E., Hauschild, J.-P., Lange, O., Wieghaus, A., Makarov, A., Nagaraj, N., Cox, J., Mann, M., & Horning, S. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m111.011015 · Cited by 832 · see citing works
Schug, Z. T., Peck, B., Jones, D. T., Zhang, Q., Grosskurth, S., Alam, I. S., Goodwin, L. M., Smethurst, E., Mason, S., Blyth, K., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2014.12.002 · Cited by 820 · see citing works
Acetate is a bioenergetic substrate for human glioblastoma and brain metastases
Mashimo, T., Pichumani, K., Vemireddy, V., Hatanpaa, K. J., Singh, D. K., Sirasanagandla, S., Nannepaga, S., Piccirillo, S. G., Kovacs, Z., Foong, C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.025 · Cited by 760 · see citing works
Histone Methylation Dynamics and Gene Regulation Occur through the Sensing of One-Carbon Metabolism
Mentch, S. J., Mehrmohamadi, M., Huang, L., Liu, X., Gupta, D., Mattocks, D. A. L., Padilla, P. G., Ables, G. P., Bamman, M. M., Thalacker‐Mercer, A. E., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.08.024 · Cited by 706 · see citing works
Self-citationComerford, S. A., Huang, Z., Du, X., Wang, Y., Cai, L., Witkiewicz, A. K., Walters, H., Tantawy, M. N., Fu, A., Manning, H. C., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.020 · Cited by 681 · see citing works
Metabolomics: A Global Biochemical Approach to Drug Response and Disease
Kaddurah-Daouk, R. F., Kristal, B. S., & Weinshilboum, R. M. (2008) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.48.113006.094715 · Cited by 669 · see citing works
Single-Cell Metabolomics: Analytical and Biological Perspectives
Zenobi, R. (2013) · Science · doi:10.1126/science.1243259 · Cited by 659 · see citing works
Mayers, J. R., Wu, C. H., Clish, C. B., Kraft, P., Torrence, M. E., Fiske, B. P., Yuan, C., Bao, Y., Townsend, M. K., Tworoger, S. S., et al. (2014) · Nature Medicine · doi:10.1038/nm.3686 · Cited by 652 · see citing works
Network-based prediction of human tissue-specific metabolism
Shlomi, T., Cabili, M. N., Herrgård, M. J., Palsson, B. Ø., & Ruppin, E. (2008) · Nature Biotechnology · doi:10.1038/nbt.1487 · Cited by 637 · see citing works
A roadmap for interpreting 13C metabolite labeling patterns from cells
Buescher, J. M., Antoniewicz, M. R., Boros, L. G., Burgess, S. C., Brunengraber, H., Clish, C. B., DeBerardinis, R. J., Féron, O., Frezza, C., Ghesquière, B., et al. (2015) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2015.02.003 · Cited by 623 · see citing works
Self-citationJang, C., Oh, S. F., Wada, S., Rowe, G. C., Liu, L., Chan, M. C., Rhee, J., Hoshino, A., Kim, B., Ibrahim, A., et al. (2016) · Nature Medicine · doi:10.1038/nm.4057 · Cited by 589 · see citing works
Want, E. J., O’Maille, G., Smith, C. A., Brandon, T. R., Uritboonthai, W., Qin, C., Trauger, S. A., & Siuzdak, G. E. (2005) · Analytical Chemistry · doi:10.1021/ac051312t · Cited by 566 · see citing works
Tracing compartmentalized NADPH metabolism in the cytosol and mitochondria of mammalian cells
Lewis, C. A., Parker, S. J., Fiske, B. P., McCloskey, D., Gui, D. Y., Green, C. R., Vokes, N. I., Feist, A. M., Vander Heiden, M. G., & Metallo, C. M. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.05.008 · Cited by 562 · see citing works
Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights
Wen, W., Li, D., Li, X., Gao, Y., Li, W., Li, H., Liu, J., Liu, H., Chen, W., Luo, J., et al. (2014) · Nature Communications · doi:10.1038/ncomms4438 · Cited by 512 · see citing works
Lu, W., Clasquin, M. F., Melamud, E., Amador‐Noguez, D., Caudy, A. A., & Rabinowitz, J. D. (2010) · Analytical Chemistry · doi:10.1021/ac902837x · Cited by 504 · see citing works
A roadmap for natural product discovery based on large-scale genomics and metabolomics
Doroghazi, J. R., Albright, J. C., Goering, A. W., Ju, K., Haines, R. R., Tchalukov, K., Labeda, D. P., Kelleher, N. L., & Metcalf, W. W. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1659 · Cited by 479 · see citing works
Zhu, Z., Schultz, A. W., Wang, J., Johnson, C. H., Yannone, S. M., Patti, G. J., & Siuzdak, G. E. (2013) · Nature Protocols · doi:10.1038/nprot.2013.004 · Cited by 477 · see citing works
Metabolite concentrations, fluxes and free energies imply efficient enzyme usage
Park, J. O., Rubin, S. A., Xu, Y.-F., Amador-Noguez, D., Fan, J., Shlomi, T., & Rabinowitz, J. D. (2016) · Nature Chemical Biology · doi:10.1038/nchembio.2077 · Cited by 453 · see citing works
Determination of confidence intervals of metabolic fluxes estimated from stable isotope measurements
Antoniewicz, M. R., Kelleher, J. K., & Stephanopoulos, G. N. (2006) · Metabolic Engineering · doi:10.1016/j.ymben.2006.01.004 · Cited by 451 · see citing works
Heterogeneity of tumor-induced gene expression changes in the human metabolic network
Hu, J., Locasale, J. W., Bielas, J. H., O'Sullivan, J., Sheahan, K., Cantley, L. C., Heiden, M. G. V., & Vitkup, D. (2013) · Nature Biotechnology · doi:10.1038/nbt.2530 · Cited by 407 · see citing works
Self-citationAbsolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach
Bennett, B. D., Yuan, J., Kimball, E., & Rabinowitz, J. D. (2008) · Nature Protocols · doi:10.1038/nprot.2008.107 · Cited by 384 · see citing works
Metabolism Links Bacterial Biofilms and Colon Carcinogenesis
Johnson, C. H., Dejea, C. M., Edler, D., Hoang, L. T., Santidrián, A. F., Felding, B. H., Ivanišević, J., Cho, K., Wick, E. C., Hechenbleikner, E. M., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.04.011 · Cited by 355 · see citing works
Profiling metabolites and peptides in single cells
Rubakhin, S. S., Romanova, E. V., Nemes, P., & Sweedler, J. V. (2011) · Nature Methods · doi:10.1038/nmeth.1549 · Cited by 346 · see citing works
Multiple reaction monitoring for quantitative biomarker analysis in proteomics and metabolomics☆
Kitteringham, N. R., Jenkins, R. E., Lane, C. S., Elliott, V. L., & Park, B. K. (2008) · Journal of Chromatography B · doi:10.1016/j.jchromb.2008.11.013 · Cited by 343 · see citing works
Plumb, R. S., Castro‐Perez, J. M., Granger, J. H., et al. (2004) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.1627 · Cited by 343 · see citing works
Metabolomics Applied to Diabetes Research
Bain, J. R., Stevens, R. D., Wenner, B. R., Ilkayeva, O., Muoio, D. M., & Newgard, C. B. (2009) · Diabetes · doi:10.2337/db09-0580 · Cited by 330 · see citing works
Dietmair, S., Timmins, N. E., Gray, P. P., Nielsen, L. K., & Krömer, J. O. (2010) · Analytical Biochemistry · doi:10.1016/j.ab.2010.04.031 · Cited by 322 · see citing works
Defining the Metabolome: Size, Flux, and Regulation
Zamboni, N., Saghatelian, A., & Patti, G. J. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.04.021 · Cited by 299 · see citing works
Metabolomics applications of FT‐ICR mass spectrometry
Brown, S. C., Kruppa, G. H., & Dasseux, J. (2004) · Mass Spectrometry Reviews · doi:10.1002/mas.20011 · Cited by 286 · see citing works
Shrestha, B., & Vértes, Á. (2009) · Analytical Chemistry · doi:10.1021/ac901525g · Cited by 273 · see citing works
Veselkov, K., Karstens, L., Masson, P., Robinette, S. L., Want, E. J., Li, J. V., Barton, R. H., Boursier-Neyret, C., Walther, B., Ebbels, T. M. D., et al. (2011) · Analytical Chemistry · doi:10.1021/ac201065j · Cited by 267 · see citing works
Real-time metabolome profiling of the metabolic switch between starvation and growth
Link, H., Fuhrer, T., Gerosa, L., Zamboni, N., & Sauer, U. (2015) · Nature Methods · doi:10.1038/nmeth.3584 · Cited by 248 · see citing works
Kenny, H. A., Krausz, T., Yamada, S. D., & Lengyel, E. (2007) · International Journal of Cancer · doi:10.1002/ijc.22874 · Cited by 243 · see citing works
A comparison of five lipid extraction solvent systems for lipidomic studies of human LDL
Reis, A., Rudnitskaya, A. M., Blackburn, G. J., Fauzi, N. M., Pitt, A. R., & Spickett, C. M. (2013) · Journal of Lipid Research · doi:10.1194/jlr.m034330 · Cited by 242 · see citing works
Improved batch correction in untargeted MS-based metabolomics
Wehrens, R., Hageman, J. A., van Eeuwijk, F., Kooke, R., Flood, P. J., Wijnker, T. G., Keurentjes, J. J. B., Lommen, A., van Eekelen, H. D. L. M., Hall, R. D., et al. (2016) · Metabolomics · doi:10.1007/s11306-016-1015-8 · Cited by 242 · see citing works
Gao, J., Tarcea, V. G., Karnovsky, A., Mirel, B. R., Weymouth, T. E., Beecher, C., Cavalcoli, J. D., Athey, B. D., Omenn, G. S., Burant, C., et al. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq048 · Cited by 231 · see citing works
Direct metabolomics for plant cells by live single-cell mass spectrometry
Fujii, T., Matsuda, S., Tejedor, M. L., Esaki, T., Sakane, I., Mizuno, H., Tsuyama, N., & Masujima, T. (2015) · Nature Protocols · doi:10.1038/nprot.2015.084 · Cited by 221 · see citing works
Hexosamine Pathway Metabolites Enhance Protein Quality Control and Prolong Life
Denzel, M. S., Storm, N. J., Gutschmidt, A., Baddi, R., Hinze, Y., Jarosch, E., Sommer, T., Hoppe, T., & Antebi, A. (2014) · Cell · doi:10.1016/j.cell.2014.01.061 · Cited by 219 · see citing works
Gong, X., Zhao, Y., Cai, S., et al. (2014) · Analytical Chemistry · doi:10.1021/ac500882e · Cited by 218 · see citing works
13CFLUX2—high-performance software suite for 13C-metabolic flux analysis
Weitzel, M., Nöh, K., Dalman, T., Niedenführ, S., Stute, B., & Wiechert, W. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts646 · Cited by 202 · see citing works
Xu, Y., Lu, W., & Rabinowitz, J. D. (2015) · Analytical Chemistry · doi:10.1021/ac504118y · Cited by 202 · see citing works
Analysis of Cell Metabolism Using LC-MS and Isotope Tracers
Mackay, G., Zheng, L., van den Broek, N. J. F., & Gottlieb, E. (2015) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/bs.mie.2015.05.016 · Cited by 198 · see citing works
Overmyer, K. A., Evans, C. R., Qi, N., Minogue, C. E., Carson, J. J., Chermside‐Scabbo, C. J., Koch, L. G., Britton, S. L., Pagliarini, D. J., Coon, J. J., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.02.007 · Cited by 196 · see citing works
Normalizing and Integrating Metabolomics Data
Livera, A. M. D., Dias, D. A., Souza, D. P. D., Rupasinghe, T., Pyke, J. S., Tull, D., Roessner, U., McConville, M. J., & Speed, T. P. (2012) · Analytical Chemistry · doi:10.1021/ac302748b · Cited by 194 · see citing works
Lapainis, T., Rubakhin, S. S., & Sweedler, J. V. (2009) · Analytical Chemistry · doi:10.1021/ac900936g · Cited by 191 · see citing works
Development and Quantitative Evaluation of a High-Resolution Metabolomics Technology
Liu, X., Ser, Z., & Locasale, J. W. (2014) · Analytical Chemistry · doi:10.1021/ac403845u · Cited by 174 · see citing works
Self-citationKatewa, S. D., Akagi, K., Bose, N., Rakshit, K., Camarella, T., Zheng, X., Hall, D., Davis, S., Nelson, C. S., Brem, R. B., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.10.014 · Cited by 173 · see citing works
Metabolomics in rheumatic diseases: desperately seeking biomarkers
Khan, M., Bedi, A., Fu, F., Karlsson, J., Ayeni, O., & Bhandari, M. (2016) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2016.1 · Cited by 173 · see citing works
Genomic, Proteomic, and Metabolomic Data Integration Strategies
Wanichthanarak, K., Fahrmann, J. F., & Grapov, D. (2015) · Biomarker Insights · doi:10.4137/bmi.s29511 · Cited by 170 · see citing works
Revealing disease-associated pathways by network integration of untargeted metabolomics
Pirhaji, L., Milani, P., Leidl, M., Curran, T., Avila-Pacheco, J., Clish, C. B., White, F. M., Saghatelian, A., & Fraenkel, E. (2016) · Nature Methods · doi:10.1038/nmeth.3940 · Cited by 167 · see citing works
Guenther, S., Muirhead, L. J., Speller, A. V. M., Golf, O., Strittmatter, N., Ramakrishnan, R., Goldin, R. D., Jones, E. A., Veselkov, K., Nicholson, J. K., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-14-2258 · Cited by 159 · see citing works
X13CMS: Global Tracking of Isotopic Labels in Untargeted Metabolomics
Huang, X., Chen, Y.-J., Cho, K., Nikolskiy, I., Crawford, P. A., & Patti, G. J. (2014) · Analytical Chemistry · doi:10.1021/ac403384n · Cited by 159 · see citing works
Characterization of the Usage of the Serine Metabolic Network in Human Cancer
Mehrmohamadi, M., Liu, X., Shestov, A. A., & Locasale, J. W. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.10.026 · Cited by 157 · see citing works
Self-citationNygren, H., Seppänen-Laakso, T., Castillo, S., Hyötyläinen, T., & Orešič, M. (2011) · Methods in Molecular Biology · doi:10.1007/978-1-61737-985-7_15 · Cited by 154 · see citing works
Ab initio prediction of metabolic networks using Fourier transform mass spectrometry data
Rainer Breitling, A., Ritchie, S. A., Goodenowe, D. B., Stewart, M. L., & Barrett, M. P. (2006) · Metabolomics · doi:10.1007/s11306-006-0029-z · Cited by 150 · see citing works
Boudah, S., Olivier, M., Aros-Calt, S., Correia, L. O., Fenaille, F., Tabet, J., & Junot, C. (2014) · Journal of Chromatography B · doi:10.1016/j.jchromb.2014.04.025 · Cited by 149 · see citing works
Xu, Y., Heilier, J.-F., Madalinski, G., et al. (2010) · Analytical Chemistry · doi:10.1021/ac100271j · Cited by 138 · see citing works
Progress toward single cell metabolomics
Rubakhin, S. S., Lanni, E. J., & Sweedler, J. V. (2012) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2012.10.021 · Cited by 133 · see citing works
Hartiala, J. A., Wilson Tang, W. H., Wang, Z., Crow, A. L., Stewart, A. F. R., Roberts, R., McPherson, R., Erdmann, J., Willenborg, C., Hazen, S. L., et al. (2016) · Nature Communications · doi:10.1038/ncomms10558 · Cited by 130 · see citing works
Integrated, Step-Wise, Mass-Isotopomeric Flux Analysis of the TCA Cycle
Alves, T. C., Pongratz, R. L., Zhao, X., Yarborough, O. H., Sereda, S., Shirihai, O. S., Cline, G. W., Mason, G. F., & Kibbey, R. G. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.08.021 · Cited by 129 · see citing works
How to measure metabolic fluxes: a taxonomic guide for 13C fluxomics
Niedenführ, S., Wiechert, W., & Nöh, K. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.12.003 · Cited by 119 · see citing works
MetaMapR: pathway independent metabolomic network analysis incorporating unknowns
Grapov, D., Wanichthanarak, K., & Fiehn, O. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv194 · Cited by 116 · see citing works
Liu, X., Sadhukhan, S., Sun, S., Wagner, G. R., Hirschey, M. D., Qi, L., Lin, H., & Locasale, J. W. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.044859 · Cited by 108 · see citing works
Self-citationMicrobial metabolomics in open microscale platforms
Barkal, L. J., Theberge, A. B., Guo, C., Spraker, J. E., Rappert, L., Berthier, J., Brakke, K. A., Wang, C. C. C., Beebe, D. J., Keller, N. P., et al. (2016) · Nature Communications · doi:10.1038/ncomms10610 · Cited by 102 · see citing works
Protocol for quality control in metabolic profiling of biological fluids by U(H)PLC-MS
Gika, H., Zisi, C., Theodoridis, G. A., & Wilson, I. D. (2015) · Journal of Chromatography B · doi:10.1016/j.jchromb.2015.10.045 · Cited by 100 · see citing works
Development of a GC/Quadrupole-Orbitrap Mass Spectrometer, Part I: Design and Characterization
Peterson, A. C., Hauschild, J.-P., Quarmby, S. T., et al. (2014) · Analytical Chemistry · doi:10.1021/ac5014767 · Cited by 95 · see citing works
Extraction parameters for metabolomics from cultured cells
Ser, Z., Liu, X., Tang, N. N., & Locasale, J. W. (2015) · Analytical Biochemistry · doi:10.1016/j.ab.2015.01.003 · Cited by 91 · see citing works
Self-citationFrey, A. J., Feldman, D. R., Trefely, S., Worth, A. J., Basu, S. S., & Snyder, N. W. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9448-5 · Cited by 89 · see citing works
Basu, S. S., & Blair, I. A. (2011) · Nature Protocols · doi:10.1038/nprot.2011.421 · Cited by 70 · see citing works
Godejohann, M. (2006) · Journal of Chromatography A · doi:10.1016/j.chroma.2006.10.053 · Cited by 52 · see citing works
Raro, M., Ibáñez, M., Gil‐Solsona, R., Fabregat, A., Tudela, E., Deventer, K., Ventura, R., Segura, J., Marcos, J., Kotronoulas, A., et al. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b02254 · Cited by 50 · see citing works
Stable Isotope-Labeled Tracers for Metabolic Pathway Elucidation by GC-MS and FT-MS
Higashi, R. M., Fan, T. W. ‐., Lorkiewicz, P. K., Moseley, H., & Lane, A. N. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1258-2_11 · Cited by 49 · see citing works
Ser, Z., Gao, X., Johnson, C., Mehrmohamadi, M., Liu, X., Li, S., & Locasale, J. W. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.05.035 · Cited by 46 · see citing works
Self-citationPhelps, M. S., Sturtevant, D., Chapman, K. D., et al. (2015) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-015-1232-9 · Cited by 33 · see citing works
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
Liu, X., Ser, Z., Cluntun, A. A., Mentch, S. J., & Locasale, J. W. (2014) · Journal of Visualized Experiments · doi:10.3791/51358 · Cited by 27 · see citing works
Self-citationComputational approaches for understanding energy metabolism
Shestov, A. A., Barker, B., Gu, Z., & Locasale, J. W. (2013) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1238 · Cited by 12 · see citing works
Self-citationA Strategy for Sensitive, Large Scale Quantitative Metabolomics
Liu, X., Ser, Z., Cluntun, A. A., et al. (2014) · Journal of Visualized Experiments · doi:10.3791/51358-v · Cited by 11 · see citing works
Self-citation
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The impact of cellular metabolism on chromatin dynamics and epigenetics
Reid, M. A., Dai, Z., & Locasale, J. W. (2017) · Nature Cell Biology · doi:10.1038/ncb3629 · Cited by 515 · see citing works
Self-citationMetabolomic machine learning predictor for diagnosis and prognosis of gastric cancer
Chen, Y., Wang, B., Zhao, Y., Shao, X., Wang, M., Ma, F., Yang, L., Nie, M., Jin, P., Yao, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46043-y · Cited by 244 · see citing works
Hu, L., Liu, J., Zhang, W., Wang, T., Zhang, N., Lee, Y. H., & Lu, H. (2020) · Mass Spectrometry Reviews · doi:10.1002/mas.21611 · Cited by 81 · see citing works
Vitale, G. A., Geibel, C., Minda, V., Wang, M., Aron, A. T., & Petras, D. (2024) · Natural Product Reports · doi:10.1039/d3np00050h · Cited by 66 · see citing works
- Authors
- Liu, X., & Locasale, J. W.
- Affiliations
- Duke University (US)
- Corresponding author
- Locasale, Jason W.
- Venue
- Trends in Biochemical Sciences
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 42
- Issue
- 4
- Pages
- 274-284
- ISSN
- 0968-0004 (ISSN-L)
- PMC
- PMC5376220
- OpenAlex
- W2587034866
- Cited by
- 453
- References
- 117
- Citations by year
- 2026: 41 · 2025: 69 · 2024: 75 · 2023: 60 · 2022: 48 · 2021: 50 · 2020: 50 · 2019: 32 · 2018: 15 · 2017: 13
- FWCI
- 2.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Trends in Biochemical Sciences (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (R00CA168997, R01CA193256)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Keywords
- metabolomics, mass spectrometry-based metabolomics, liquid chromatography-mass spectrometry, small molecules, cellular metabolism, single-cell metabolomics
- MeSH terms
- Animals, Chromatography, Liquid, Humans, Mass Spectrometry, Metabolomics
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