Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950–Metabolites in Frozen Human Plasma[S]
As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950–Metabolites in Frozen Human Plasma, a commercially available reference material. The i...
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Published in | Journal of lipid research Vol. 58; no. 12; pp. 2275 - 2288 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
01.12.2017
Journal of Lipid Research The American Society for Biochemistry and Molecular Biology Elsevier |
Subjects | |
Online Access | Get full text |
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Abstract | As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950–Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement. |
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AbstractList | As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950–Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement. As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950-Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra-and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium.jlr While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement. As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950-Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement.As the lipidomics field continues to advance, self-evaluation within the community is critical. Here, we performed an interlaboratory comparison exercise for lipidomics using Standard Reference Material (SRM) 1950-Metabolites in Frozen Human Plasma, a commercially available reference material. The interlaboratory study comprised 31 diverse laboratories, with each laboratory using a different lipidomics workflow. A total of 1,527 unique lipids were measured across all laboratories and consensus location estimates and associated uncertainties were determined for 339 of these lipids measured at the sum composition level by five or more participating laboratories. These evaluated lipids detected in SRM 1950 serve as community-wide benchmarks for intra- and interlaboratory quality control and method validation. These analyses were performed using nonstandardized laboratory-independent workflows. The consensus locations were also compared with a previous examination of SRM 1950 by the LIPID MAPS consortium. While the central theme of the interlaboratory study was to provide values to help harmonize lipids, lipid mediators, and precursor measurements across the community, it was also initiated to stimulate a discussion regarding areas in need of improvement. |
Author | Klose, Christian Triebl, Alexander Jones, Christina M. Garrett, Timothy J. Köfeler, Harald C. Koster, Grielof Yao, Libin Heckert, Alan Surma, Michal A. Kolmert, Johan Klavins, Kristaps Kuklenyik, Zsuzsanna Takeda, Hiroaki Borchers, Christoph H. Quehenberger, Oswald Sales, Susanne Brandsma, Joost Izumi, Yoshihiro Pierce, Jason S. Dennis, Edward A. Hyötyläinen, Tuulia Leadley, Michael Koelmel, Jeremy P. Cazenave-Gassiot, Amaury Gardner, Michael S. Zhou, Senlin Kachman, Maureen Bergquist, Jonas Alnouti, Yazen Thompson, J. Will Rembiesa, Barbara Checa, Antonio Meikle, Peter J. Wheelock, Craig E. Ahonen, Linda Thakare, Rhishikesh Jiang, Jiang Kurland, Irwin J. Monnin, Cian Rees, Jon Weir, Jacquelyn M. Peake, David Oresic, Matej Bamba, Takeshi Gotlinger, Katherine H. Nandakumar, Renu Armando, Aaron M. Ulmer, Candice Z. Kiyonami, Reiko Barr, John R. Cajka, Tomas Neo, Aveline Huipeng Ramrup, Parsram Yuan, Min Post, Martin Shevchenko, Andrej Asara, John M. Cinel, Michelle A. Wenk, Markus R. Cremers, Serge St. John-Williams, Lisa Han, Jun Roth, Mary R. Post |
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Cites_doi | 10.1002/ejlt.201500145 10.1002/mnfr.201200863 10.4155/bio.15.244 10.1016/j.euprot.2015.06.001 10.1194/jlr.R400003-JLR200 10.1101/mcs.a000588 10.1080/01621459.1998.10474111 10.1161/ATVBAHA.111.234096 10.1021/acs.analchem.5b04491 10.1007/s00216-015-8633-2 10.1016/j.chroma.2013.01.078 10.1016/0197-2456(86)90046-2 10.1007/s00216-013-7479-8 10.1074/mcp.M900222-MCP200 10.1021/acs.analchem.6b02930 10.1038/srep27710 10.1007/s11883-010-0110-y 10.1016/j.trac.2014.10.010 10.1194/jlr.P056002 10.3390/metabo1010021 10.1016/j.trac.2014.04.017 10.1111/j.0006-341X.1999.00129.x 10.1194/jlr.R800095-JLR200 10.1007/s13361-017-1608-0 10.1016/j.aca.2013.08.006 10.1074/mcp.O115.051888 10.1016/j.gheart.2012.12.009 10.1194/jlr.R400012-JLR200 10.1002/rcm.7475 10.1038/nrm2934 10.1002/mas.20294 10.1016/j.chroma.2016.04.082 10.1016/S0022-2275(20)31176-7 10.3390/metabo2010019 10.1194/jlr.M009449 10.1016/j.bbalip.2011.06.025 10.1016/S0021-9258(20)78929-5 10.1016/S0021-9258(20)78281-5 10.1186/s13073-016-0265-4 10.1007/s11306-016-1094-6 10.1021/ac3024476 10.1016/j.chembiol.2011.01.014 10.1021/ac402689t 10.3945/ajcn.115.110387 10.1007/s11306-015-0929-x 10.1194/jlr.M034330 10.7171/jbt.15-2603-001 10.1186/1741-7015-11-220 10.1194/jlr.E400004-JLR200 10.1016/j.jchromb.2009.01.038 10.1007/s11306-014-0740-0 10.2174/156652410790963312 10.1089/omi.2006.10.158 10.6028/NIST.IR.8185 10.1007/s11306-016-1157-8 10.1074/mcp.M114.047050 10.1021/es802198z 10.1002/jssc.201500899 10.1021/ac403554h 10.1002/pmic.201200532 10.1073/pnas.0812636106 10.1194/jlr.M033506 10.1007/s11306-007-0082-2 10.1002/bimj.200410148 10.1146/annurev-biochem-060409-092612 10.1021/cr9900883 10.1056/NEJMra1104901 10.1146/annurev.anchem.111808.073705 10.1021/ac402503m 10.1152/ajpcell.00024.2014 10.1194/jlr.P055640 10.1007/s13361-016-1579-6 |
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References | CCQM. 2013. CCQM guidance note: estimation of a consensus KCRV and associated degrees of equivalence. Version 10. Accessed February 2, 2017, at https://www.bipm.org/cc/CCQM/Allowed/19/CCQM13-22_Consensus_KCRV_v10.pdf. Cífková, Holčapek, Lísa, Ovčačíková, Lyčka, Lynen, Sandra (bib75) 2012; 84 Phinney, Ballihaut, Bedner, Benford, Camara, Christopher, Davis, Dodder, Eppe, Lang (bib48) 2013; 85 Murphy, Fiedler, Hevko (bib78) 2001; 101 Bowden, J. A., A. Heckert, C. Z. Ulmer, C. M. Jones, and R. S. Pugh, 2017. NISTIR 8185. Lipid concentrations in Standard Reference Material (SRM) 1950: results from an interlaboratory comparison exercise for lipidomics. Accessed August 2, 2017, at http://nvlpubs.nist.gov/nistpubs/ir/2017/NIST.IR.8185.pdf. Paulovich, Billheimer, Ham, Vega-Montoto, Rudnick, Tabb, Wang, Blackman, Bunk, Cardasis (bib36) 2010; 9 Li, Yang, Bai, Liu (bib34) 2014; 86 Blanksby, Mitchell (bib6) 2010; 3 Quehenberger, Dennis (bib8) 2011; 365 Beger, Dunn, Schmidt, Gross, Kirwan, Cascante, Brennan, Wishart, Oresic, Hankemeier (bib47) 2016; 12 Ulmer, Koelmel, Ragland, Garrett, Bowden (bib55) 2017; 28 Sales, Graessler, Ciucci, Al-Atrib, Vihervaara, Schuhmann, Kauhanen, Sysi-Aho, Bornstein, Bickle (bib65) 2016; 6 Colas, Shinohara, Dalli, Chiang, Serhan (bib52) 2014; 307 Steinberg (bib4) 2005; 46 Sharpless, K. E., K. A. Lippa, D. L. Duewer, and A. L. Rukhin, 2015. Accessed February 2, 2017, at http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.260-181.pdf. Yang, Han (bib76) 2011; 1 Hyötyläinen, Orešič (bib19) 2016; 8 Vesper, Myers, Miller (bib28) 2016; 104 Percy, Tamura-Wells, Albar, Aloria, Amirkhani, Araujo, Arizmendi, Blanco, Canals, Cho (bib37) 2015; 8 Gallart-Ayala, Courant, Severe, Antignac, Morio, Abadie, Le Bizec (bib16) 2013; 796 Hyötyläinen, Orešič (bib31) 2015; 407 Surma, Herzog, Vasilj, Klose, Christinat, Morin-Rivron, Simons, Masoodi, Sampaio (bib68) 2015; 117 Bennett, Wang, Bystrom, Chambers, Andacht, Dangott, Elortza, Leszyk, Molina, Moritz (bib39) 2015; 14 Koelmel, Kroeger, Gill, Ulmer, Bowden, Patterson, Yost, Garrett (bib67) 2017; 28 Yamada, Uchikata, Sakamoto, Yokoi, Fukusaki, Bamba (bib17) 2013; 1292 Liebisch, Vizcaino, Köfeler, Trötzmüller, Griffiths, Schmitz, Spener, Wakelam (bib56) 2013; 54 Clish (bib24) 2015; 1 Gorden, Myers, Ivanova, Fahy, Maurya, Gupta, Min, Spann, McDonald, Kelly (bib26) 2015; 56 Gross, Han (bib20) 2011; 18 Cheema, Asara, Wang, Neubert, Tolstikov, Turck (bib42) 2015; 26 Murphy, Nicolaou (bib9) 2013; 57 Abbatiello, Schilling, Mani, Zimmerman, Hall, MacLean, Albertolle, Allen, Burgess, Cusack (bib38) 2015; 14 Viant, Bearden, Bundy, Burton, Collette, Ekman, Ezernieks, Karakach, Lin, Rochfort (bib41) 2009; 43 Heckert, A., and J. J. Filliben, 2016. Dataplot Reference Manual Volume I: Commands. Accessed February 2, 2017, at http://www.itl.nist.gov/div898/software/dataplot/refman1/homepage.htm. Cajka, Fiehn (bib15) 2014; 61 Auffray, Caulfield, Griffin, Khoury, Lupski, Schwab (bib23) 2016; 8 Harkewicz, Dennis (bib7) 2011; 80 Fahy, Subramaniam, Brown, Glass, Merrill, Murphy, Raetz, Russell, Seyama, Shaw (bib63) 2005; 46 Cajka, Fiehn (bib72) 2016; 12 Breitkopf, Ricoult, Yuan, Xu, Peake, Manning, Asara (bib74) 2017; 13 Telu, Yan, Wallace, Stein, Simón-Manso (bib51) 2016; 30 Hu, van der Heijden, Wang, van der Greef, Hankemeier, Xu (bib10) 2009; 877 Jung, Sylvänne, Koistinen, Tarasov, Kauhanen, Ekroos (bib69) 2011; 1811 Cajka, Fiehn (bib18) 2016; 88 Koal, Deigner (bib50) 2010; 10 Koivusalo, Haimi, Heikinheimo, Kostiainen, Somerharju (bib77) 2001; 42 Shevchenko, Simons (bib21) 2010; 11 Köfeler, Fauland, Rechberger, Trötzmüller (bib33) 2012; 2 Bou Khalil, Hou, Zhou, Elisma, Swayne, Blanchard, Yao, Bennett, Figeys (bib32) 2010; 29 Ovčačíková, Lísa, Cífková, Holčapek (bib70) 2016; 1450 Qu, Zheng, Wu, Jia, Zhang, Duan (bib66) 2014; 406 Ekroos (bib30) 2012 Rukhin, Vangel (bib60) 1998; 93 National Institute of Standards and Technology. 2012. Certificate of Analysis: Standard Reference Material 1950 - Metabolites in Human Plasma. Accessed July 5, 2017, at https://www-s.nist.gov/srmors/view_cert.cfm?srm=1950. Martin, Maillot, Mazerolles, Verdu, Lyan, Migné, Defoort, Canlet, Junot, Guillou (bib43) 2015; 11 Burr, Burr (bib1) 1929; 82 McShane, Cavenagh, Lively, Eberhard, Bigbee, Williams, Mesirov, Polley, Kim, Tricoli (bib29) 2013; 11 Burr, Burr (bib2) 1930; 86 Ekroos, Jänis, Tarasov, Hurme, Laaksonen (bib22) 2010; 12 Vangel, Rukhin (bib61) 1999; 55 Quehenberger, Armando, Brown, Milne, Myers, Merrill, Bandyopadhyay, Jones, Kelly, Shaner (bib14) 2010; 51 Fahy, Subramaniam, Murphy, Nishijima, Raetz, Shimizu, Spener, van Meer, Wakelam, Dennis (bib64) 2009; 50 Dennis, Brown, Deems, Glass, Merrill, Murphy, Raetz, Shaw, Subramaniam, Russell (bib12) 2005 Meikle, Wong, Tsorotes, Barlow, Weir, Christopher, MacIntosh, Goudey, Stern, Kowalczyk (bib71) 2011; 31 Loomba, Quehenberger, Armando, Dennis (bib25) 2015; 56 Steinberg (bib3) 2004; 45 Simón-Manso, Lowenthal, Kilpatrick, Sampson, Telu, Rudnick, Mallard, Bearden, Schock, Tchekhovskoi (bib49) 2013; 85 Sumner, Amberg, Barrett, Beale, Beger, Daykin, Fan, Fiehn, Goodacre, Griffin (bib45) 2007; 3 Yang, Li, Shan, Shen, Bai, Liu (bib11) 2016; 39 Fiehn, Kristal, Ommen, Sumner, Sansone, Taylor, Hardy, Kaddurah-Daouk (bib46) 2006; 10 Reis, Rudnitskaya, Blackburn, Fauzi, Pitt, Spickett (bib35) 2013; 54 Bonett, Seier (bib59) 2006; 48 Wilson (bib5) 2013; 8 Siskos, Jain, Römisch-Margl, Bennett, Achaintre, Asad, Marney, Richardson, Koulman, Griffin (bib40) 2017; 89 Ivanov, Colangelo, Dufresne, Friedman, Lilley, Mechtler, Phinney, Rose, Rudnick, Searle (bib44) 2013; 13 Dennis (bib13) 2009; 106 Teo, Chong, Tan, Basri, Low, Ho (bib27) 2015; 66 DerSimonian, Laird (bib62) 1986; 7 Burr (10.1194/jlr.M079012_bib1) 1929; 82 Liebisch (10.1194/jlr.M079012_bib56) 2013; 54 Bonett (10.1194/jlr.M079012_bib59) 2006; 48 Bennett (10.1194/jlr.M079012_bib39) 2015; 14 Fiehn (10.1194/jlr.M079012_bib46) 2006; 10 Cajka (10.1194/jlr.M079012_bib18) 2016; 88 Quehenberger (10.1194/jlr.M079012_bib14) 2010; 51 Clish (10.1194/jlr.M079012_bib24) 2015; 1 Gross (10.1194/jlr.M079012_bib20) 2011; 18 Vesper (10.1194/jlr.M079012_bib28) 2016; 104 Ovčačíková (10.1194/jlr.M079012_bib70) 2016; 1450 Steinberg (10.1194/jlr.M079012_bib3) 2004; 45 Yang (10.1194/jlr.M079012_bib11) 2016; 39 Blanksby (10.1194/jlr.M079012_bib6) 2010; 3 Bou Khalil (10.1194/jlr.M079012_bib32) 2010; 29 Ekroos (10.1194/jlr.M079012_bib30) 2012 Hyötyläinen (10.1194/jlr.M079012_bib19) 2016; 8 Auffray (10.1194/jlr.M079012_bib23) 2016; 8 Gorden (10.1194/jlr.M079012_bib26) 2015; 56 Abbatiello (10.1194/jlr.M079012_bib38) 2015; 14 Hyötyläinen (10.1194/jlr.M079012_bib31) 2015; 407 Percy (10.1194/jlr.M079012_bib37) 2015; 8 Fahy (10.1194/jlr.M079012_bib63) 2005; 46 Fahy (10.1194/jlr.M079012_bib64) 2009; 50 Harkewicz (10.1194/jlr.M079012_bib7) 2011; 80 Vangel (10.1194/jlr.M079012_bib61) 1999; 55 McShane (10.1194/jlr.M079012_bib29) 2013; 11 Cajka (10.1194/jlr.M079012_bib72) 2016; 12 Cífková (10.1194/jlr.M079012_bib75) 2012; 84 10.1194/jlr.M079012_bib58 Yang (10.1194/jlr.M079012_bib76) 2011; 1 Viant (10.1194/jlr.M079012_bib41) 2009; 43 Cajka (10.1194/jlr.M079012_bib15) 2014; 61 10.1194/jlr.M079012_bib54 Qu (10.1194/jlr.M079012_bib66) 2014; 406 10.1194/jlr.M079012_bib57 Hu (10.1194/jlr.M079012_bib10) 2009; 877 Köfeler (10.1194/jlr.M079012_bib33) 2012; 2 Breitkopf (10.1194/jlr.M079012_bib74) 2017; 13 Koal (10.1194/jlr.M079012_bib50) 2010; 10 10.1194/jlr.M079012_bib53 Koivusalo (10.1194/jlr.M079012_bib77) 2001; 42 Reis (10.1194/jlr.M079012_bib35) 2013; 54 Burr (10.1194/jlr.M079012_bib2) 1930; 86 Dennis (10.1194/jlr.M079012_bib12) 2005 Paulovich (10.1194/jlr.M079012_bib36) 2010; 9 Quehenberger (10.1194/jlr.M079012_bib8) 2011; 365 Loomba (10.1194/jlr.M079012_bib25) 2015; 56 Murphy (10.1194/jlr.M079012_bib78) 2001; 101 Beger (10.1194/jlr.M079012_bib47) 2016; 12 Li (10.1194/jlr.M079012_bib34) 2014; 86 Martin (10.1194/jlr.M079012_bib43) 2015; 11 Gallart-Ayala (10.1194/jlr.M079012_bib16) 2013; 796 Murphy (10.1194/jlr.M079012_bib9) 2013; 57 Rukhin (10.1194/jlr.M079012_bib60) 1998; 93 Meikle (10.1194/jlr.M079012_bib71) 2011; 31 Simón-Manso (10.1194/jlr.M079012_bib49) 2013; 85 Steinberg (10.1194/jlr.M079012_bib4) 2005; 46 Telu (10.1194/jlr.M079012_bib51) 2016; 30 Phinney (10.1194/jlr.M079012_bib48) 2013; 85 Ekroos (10.1194/jlr.M079012_bib22) 2010; 12 Yamada (10.1194/jlr.M079012_bib17) 2013; 1292 Koelmel (10.1194/jlr.M079012_bib67) 2017; 28 Surma (10.1194/jlr.M079012_bib68) 2015; 117 Shevchenko (10.1194/jlr.M079012_bib21) 2010; 11 Siskos (10.1194/jlr.M079012_bib40) 2017; 89 Ulmer (10.1194/jlr.M079012_bib55) 2017; 28 Colas (10.1194/jlr.M079012_bib52) 2014; 307 Jung (10.1194/jlr.M079012_bib69) 2011; 1811 Dennis (10.1194/jlr.M079012_bib13) 2009; 106 Teo (10.1194/jlr.M079012_bib27) 2015; 66 Cheema (10.1194/jlr.M079012_bib42) 2015; 26 Ivanov (10.1194/jlr.M079012_bib44) 2013; 13 Sales (10.1194/jlr.M079012_bib65) 2016; 6 10.1194/jlr.M079012_bib73 DerSimonian (10.1194/jlr.M079012_bib62) 1986; 7 Wilson (10.1194/jlr.M079012_bib5) 2013; 8 Sumner (10.1194/jlr.M079012_bib45) 2007; 3 |
References_xml | – volume: 14 start-page: 2357 year: 2015 end-page: 2374 ident: bib38 article-title: Large-scale interlaboratory study to develop, analytically validate and apply highly multiplexed, quantitative peptide assays to measure cancer-relevant proteins in plasma publication-title: Mol. Cell. Proteomics. – volume: 365 start-page: 1812 year: 2011 end-page: 1823 ident: bib8 article-title: The human plasma lipidome publication-title: N. Engl. J. Med. – volume: 80 start-page: 301 year: 2011 end-page: 325 ident: bib7 article-title: Applications of mass spectrometry to lipids and membranes publication-title: Annu. Rev. Biochem. – volume: 30 start-page: 581 year: 2016 end-page: 593 ident: bib51 article-title: Analysis of human plasma metabolites across different liquid chromatography/mass spectrometry platforms: cross-platform transferable chemical signatures publication-title: Rapid Commun. Mass Spectrom. – volume: 82 start-page: 345 year: 1929 end-page: 367 ident: bib1 article-title: A new deficiency disease produced by the rigid exclusion of fat from the diet publication-title: J. Biol. Chem. – volume: 86 start-page: 587 year: 1930 end-page: 621 ident: bib2 article-title: On the nature and role of the fatty acids essential in nutrition publication-title: J. Biol. Chem. – volume: 43 start-page: 219 year: 2009 end-page: 225 ident: bib41 article-title: International NMR-based environmental metabolomics intercomparison exercise publication-title: Environ. Sci. Technol. – volume: 13 start-page: 904 year: 2013 end-page: 909 ident: bib44 article-title: Interlaboratory studies and initiatives developing standards for proteomics publication-title: Proteomics. – volume: 66 start-page: 1 year: 2015 end-page: 18 ident: bib27 article-title: Advances in sample preparation and analytical techniques for lipidomics study of clinical samples publication-title: Trends Analyt. Chem. – volume: 39 start-page: 38 year: 2016 end-page: 50 ident: bib11 article-title: Recent advances in lipidomics for disease research publication-title: J. Sep. Sci. – volume: 11 start-page: 807 year: 2015 end-page: 821 ident: bib43 article-title: Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study publication-title: Metabolomics. – volume: 29 start-page: 877 year: 2010 end-page: 929 ident: bib32 article-title: Lipidomics era: accomplishments and challenges publication-title: Mass Spectrum. Rev. – volume: 1292 start-page: 211 year: 2013 end-page: 218 ident: bib17 article-title: Development of a lipid profiling system using reverse-phase liquid chromatography coupled to high-resolution mass spectrometry with rapid polarity switching and an automated lipid identification software publication-title: J. Chromatogr. A. – volume: 56 start-page: 185 year: 2015 end-page: 192 ident: bib25 article-title: Polyunsaturated fatty acid metabolites as novel lipidomic biomarkers for noninvasive diagnosis of nonalcoholic steatohepatitis publication-title: J. Lipid Res. – volume: 55 start-page: 129 year: 1999 end-page: 136 ident: bib61 article-title: Maximum likelihood analysis for heteroscedastic one-way random effects ANOVA in interlaboratory studies publication-title: Biometrics. – volume: 88 start-page: 524 year: 2016 end-page: 545 ident: bib18 article-title: Toward merging untargeted and targeted methods in mass spectrometry-based metabolomics and lipidomics publication-title: Anal. Chem. – volume: 796 start-page: 75 year: 2013 end-page: 83 ident: bib16 article-title: Versatile lipid profiling by liquid chromatography–high resolution mass spectrometry using all ion fragmentation and polarity switching. Preliminary application for serum samples phenotyping related to canine mammary cancer publication-title: Anal. Chim. Acta. – volume: 104 start-page: 907S year: 2016 end-page: 912S ident: bib28 article-title: Current practices and challenges in the standardization and harmonization of clinical laboratory tests publication-title: Am. J. Clin. Nutr. – volume: 28 start-page: 562 year: 2017 end-page: 565 ident: bib55 article-title: LipidPioneer: a comprehensive user-generated exact mass template for lipidomics publication-title: J. Am. Soc. Mass Spectrom. – volume: 3 start-page: 433 year: 2010 end-page: 465 ident: bib6 article-title: Advances in mass spectrometry for lipidomics publication-title: Annu. Rev. Anal. Chem. (Palo Alto Calif). – volume: 10 start-page: 216 year: 2010 end-page: 226 ident: bib50 article-title: Challenges in mass spectrometry based targeted metabolomics publication-title: Curr. Mol. Med. – volume: 307 start-page: C39 year: 2014 end-page: C54 ident: bib52 article-title: Identification and signature profiles for pro-resolving and inflammatory lipid mediators in human tissue publication-title: Am. J. Physiol. Cell Physiol. – volume: 877 start-page: 2836 year: 2009 end-page: 2846 ident: bib10 article-title: Analytical strategies in lipidomics and applications in disease biomarker discovery publication-title: J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. – volume: 2 start-page: 19 year: 2012 end-page: 38 ident: bib33 article-title: Mass spectrometry based lipidomics: an overview of technological platforms publication-title: Metabolites. – volume: 9 start-page: 242 year: 2010 end-page: 254 ident: bib36 article-title: Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance publication-title: Mol. Cell. Proteomics. – volume: 46 start-page: 839 year: 2005 end-page: 861 ident: bib63 article-title: A comprehensive classification system for lipids publication-title: J. Lipid Res. – volume: 12 start-page: 273 year: 2010 end-page: 281 ident: bib22 article-title: Lipidomics: a tool for studies of atherosclerosis publication-title: Curr. Atheroscler. Rep. – volume: 28 start-page: 908 year: 2017 end-page: 917 ident: bib67 article-title: Expanding lipidome coverage using LC-MS/MS data-dependent acquisition with automated exclusion list generation publication-title: J. Am. Soc. Mass Spectrom. – volume: 407 start-page: 4973 year: 2015 end-page: 4993 ident: bib31 article-title: Optimizing the lipidomics workflow for clinical studies—practical considerations publication-title: Anal. Bioanal. Chem. – volume: 31 start-page: 2723 year: 2011 end-page: 2732 ident: bib71 article-title: Plasma lipidomic analysis of stable and unstable coronary artery disease publication-title: Arterioscler. Thromb. Vasc. Biol. – volume: 7 start-page: 177 year: 1986 end-page: 188 ident: bib62 article-title: Meta-analysis in clinical trials publication-title: Control. Clin. Trials. – volume: 48 start-page: 144 year: 2006 end-page: 148 ident: bib59 article-title: Confidence interval for a coefficient of dispersion in nonnormal distributions publication-title: Biom. J. – volume: 106 start-page: 2089 year: 2009 end-page: 2090 ident: bib13 article-title: Lipidomics joins the omics evolution publication-title: Proc. Natl. Acad. Sci. USA. – reference: Heckert, A., and J. J. Filliben, 2016. Dataplot Reference Manual Volume I: Commands. Accessed February 2, 2017, at http://www.itl.nist.gov/div898/software/dataplot/refman1/homepage.htm. – volume: 10 start-page: 158 year: 2006 end-page: 163 ident: bib46 article-title: Establishing reporting standards for metabolomic and metabonomic studies: a call for participation publication-title: OMICS. – volume: 1 start-page: a000588 year: 2015 ident: bib24 article-title: Metabolomics: an emerging but powerful tool for precision medicine publication-title: Cold Spring Harb. Mol. Case Stud. – volume: 8 start-page: 25 year: 2013 end-page: 33 ident: bib5 article-title: Lipids and vascular disease: a Framingham perspective publication-title: Glob. Heart. – volume: 26 start-page: 83 year: 2015 end-page: 89 ident: bib42 article-title: The ABRF Metabolomics Research Group 2013 Study: investigation of spiked compound differences in a human plasma matrix publication-title: J. Biomol. Tech. – volume: 86 start-page: 161 year: 2014 end-page: 175 ident: bib34 article-title: Analytical methods in lipidomics and their applications publication-title: Anal. Chem. – volume: 1450 start-page: 76 year: 2016 end-page: 85 ident: bib70 article-title: Retention behavior of lipids in reversed-phase ultrahigh-performance liquid chromatography–electrospray ionization mass spectrometry publication-title: J. Chromatogr. A. – volume: 54 start-page: 1523 year: 2013 end-page: 1530 ident: bib56 article-title: Shorthand notation for lipid structures derived from mass spectrometry publication-title: J. Lipid Res. – volume: 6 start-page: 27710 year: 2016 ident: bib65 article-title: Gender, contraceptives and individual metabolic predisposition shape a healthy plasma lipidome publication-title: Sci. Rep. – volume: 42 start-page: 663 year: 2001 end-page: 672 ident: bib77 article-title: Quantitative determination of phospholipid compositions by ESI-MS: effects of acyl chain length, unsaturation, and lipid concentration on instrument response publication-title: J. Lipid Res. – volume: 93 start-page: 303 year: 1998 end-page: 308 ident: bib60 article-title: Estimation of a common mean and weighted means statistics publication-title: J. Am. Stat. Assoc. – volume: 84 start-page: 10064 year: 2012 end-page: 10070 ident: bib75 article-title: Nontargeted quantitation of lipid classes using hydrophilic interaction liquid chromatography–electrospray ionization mass spectrometry with single internal standard and response factor approach publication-title: Anal. Chem. – volume: 54 start-page: 1812 year: 2013 end-page: 1824 ident: bib35 article-title: A comparison of five lipid extraction solvent systems for lipidomic studies of human LDL publication-title: J. Lipid Res. – volume: 85 start-page: 11725 year: 2013 end-page: 11731 ident: bib49 article-title: Metabolite profiling of a NIST standard reference material for human plasma (SRM 1950): GC-MS, LC-MS, NMR, and clinical laboratory analyses, libraries, and web-based resources publication-title: Anal. Chem. – volume: 3 start-page: 211 year: 2007 end-page: 221 ident: bib45 article-title: Proposed minimum reporting standards for chemical analysis publication-title: Metabolomics. – volume: 50 start-page: S9 year: 2009 end-page: S14 ident: bib64 article-title: Update of the LIPID MAPS comprehensive classification system for lipids publication-title: J. Lipid Res. – volume: 101 start-page: 479 year: 2001 end-page: 526 ident: bib78 article-title: Analysis of nonvolatile lipids by mass spectrometry publication-title: Chem. Rev. – volume: 57 start-page: 1336 year: 2013 end-page: 1346 ident: bib9 article-title: Lipidomics applications in health, disease and nutrition research publication-title: Mol. Nutr. Food Res. – volume: 11 start-page: 593 year: 2010 end-page: 598 ident: bib21 article-title: Lipidomics: coming to grips with lipid diversity publication-title: Nat. Rev. Mol. Cell Biol. – volume: 13 start-page: 30 year: 2017 ident: bib74 article-title: A relative quantitative positive/negative ion switching method for untargeted lipidomics via high resolution LC-MS/MS from any biological source publication-title: Metabolomics. – start-page: 1 year: 2012 end-page: 19 ident: bib30 article-title: Lipidomics perspective: from molecular lipidomics to validated clinical diagnostics publication-title: Lipidomics: Technologies and Applications – volume: 45 start-page: 1583 year: 2004 end-page: 1593 ident: bib3 article-title: An interpretive history of the cholesterol controversy: part I publication-title: J. Lipid Res. – volume: 1 start-page: 21 year: 2011 end-page: 40 ident: bib76 article-title: Accurate quantification of lipid species by electrospray ionization mass spectrometry—meets a key challenge in lipidomics publication-title: Metabolites. – start-page: 1 year: 2005 end-page: 16 ident: bib12 article-title: The LIPID MAPS approach to lipidomics publication-title: Functional Lipidomics – volume: 14 start-page: 3299 year: 2015 end-page: 3309 ident: bib39 article-title: The 2012/2013 ABRF Proteomic Research Group Study: assessing longitudinal intralaboratory variability in routine peptide liquid chromatography tandem mass spectrometry analyses publication-title: Mol. Cell. Proteomics. – volume: 8 start-page: 12 year: 2016 ident: bib23 article-title: From genomic medicine to precision medicine: highlights of 2015 publication-title: Genome Med. – volume: 46 start-page: 179 year: 2005 end-page: 190 ident: bib4 article-title: An interpretive history of the cholesterol controversy: part II: the early evidence linking hypercholesterolemia to coronary disease in humans publication-title: J. Lipid Res. – reference: Bowden, J. A., A. Heckert, C. Z. Ulmer, C. M. Jones, and R. S. Pugh, 2017. NISTIR 8185. Lipid concentrations in Standard Reference Material (SRM) 1950: results from an interlaboratory comparison exercise for lipidomics. Accessed August 2, 2017, at http://nvlpubs.nist.gov/nistpubs/ir/2017/NIST.IR.8185.pdf. – volume: 51 start-page: 3299 year: 2010 end-page: 3305 ident: bib14 article-title: Lipidomics reveals a remarkable diversity of lipids in human plasma publication-title: J. Lipid Res. – volume: 8 start-page: 351 year: 2016 end-page: 364 ident: bib19 article-title: Bioanalytical techniques in nontargeted clinical lipidomics publication-title: Bioanalysis. – volume: 8 start-page: 6 year: 2015 end-page: 15 ident: bib37 article-title: Inter-laboratory evaluation of instrument platforms and experimental workflows for quantitative accuracy and reproducibility assessment publication-title: EuPA Open Proteom. – reference: National Institute of Standards and Technology. 2012. Certificate of Analysis: Standard Reference Material 1950 - Metabolites in Human Plasma. Accessed July 5, 2017, at https://www-s.nist.gov/srmors/view_cert.cfm?srm=1950. – volume: 1811 start-page: 925 year: 2011 end-page: 934 ident: bib69 article-title: High throughput quantitative molecular lipidomics publication-title: Biochim. Biophys. Acta. – reference: Sharpless, K. E., K. A. Lippa, D. L. Duewer, and A. L. Rukhin, 2015. Accessed February 2, 2017, at http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.260-181.pdf. – volume: 61 start-page: 192 year: 2014 end-page: 206 ident: bib15 article-title: Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry publication-title: Trends Analyt. Chem. – volume: 56 start-page: 722 year: 2015 end-page: 736 ident: bib26 article-title: Biomarkers of NAFLD progression: a lipidomics approach to an epidemic publication-title: J. Lipid Res. – volume: 12 start-page: 1 year: 2016 end-page: 11 ident: bib72 article-title: Increasing lipidomic coverage by selecting optimal mobile-phase modifiers in LC-MS of blood plasma publication-title: Metabolomics. – volume: 18 start-page: 284 year: 2011 end-page: 291 ident: bib20 article-title: Lipidomics at the interface of structure and function in systems biology publication-title: Chem. Biol. – volume: 11 start-page: 220 year: 2013 ident: bib29 article-title: Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration publication-title: BMC Med. – volume: 406 start-page: 555 year: 2014 end-page: 564 ident: bib66 article-title: Lipidomic profiling of plasma in patients with chronic hepatitis C infection publication-title: Anal. Bioanal. Chem. – volume: 85 start-page: 11732 year: 2013 end-page: 11738 ident: bib48 article-title: Development of a standard reference material for metabolomics research publication-title: Anal. Chem. – reference: CCQM. 2013. CCQM guidance note: estimation of a consensus KCRV and associated degrees of equivalence. Version 10. Accessed February 2, 2017, at https://www.bipm.org/cc/CCQM/Allowed/19/CCQM13-22_Consensus_KCRV_v10.pdf. – volume: 117 start-page: 1540 year: 2015 end-page: 1549 ident: bib68 article-title: An automated shotgun lipidomics platform for high throughput, comprehensive, and quantitative analysis of blood plasma intact lipids publication-title: Eur. J. Lipid Sci. Technol. – volume: 89 start-page: 656 year: 2017 end-page: 665 ident: bib40 article-title: Interlaboratory reproducibility of a targeted metabolomics platform for analysis of human serum and plasma publication-title: Anal. Chem. – volume: 12 start-page: 149 year: 2016 ident: bib47 article-title: Metabolomics enables precision medicine: “a white paper, community perspective publication-title: Metabolomics. – volume: 117 start-page: 1540 year: 2015 ident: 10.1194/jlr.M079012_bib68 article-title: An automated shotgun lipidomics platform for high throughput, comprehensive, and quantitative analysis of blood plasma intact lipids publication-title: Eur. J. Lipid Sci. Technol. doi: 10.1002/ejlt.201500145 – volume: 57 start-page: 1336 year: 2013 ident: 10.1194/jlr.M079012_bib9 article-title: Lipidomics applications in health, disease and nutrition research publication-title: Mol. Nutr. Food Res. doi: 10.1002/mnfr.201200863 – volume: 8 start-page: 351 year: 2016 ident: 10.1194/jlr.M079012_bib19 article-title: Bioanalytical techniques in nontargeted clinical lipidomics publication-title: Bioanalysis. doi: 10.4155/bio.15.244 – volume: 8 start-page: 6 year: 2015 ident: 10.1194/jlr.M079012_bib37 article-title: Inter-laboratory evaluation of instrument platforms and experimental workflows for quantitative accuracy and reproducibility assessment publication-title: EuPA Open Proteom. doi: 10.1016/j.euprot.2015.06.001 – volume: 45 start-page: 1583 year: 2004 ident: 10.1194/jlr.M079012_bib3 article-title: An interpretive history of the cholesterol controversy: part I publication-title: J. Lipid Res. doi: 10.1194/jlr.R400003-JLR200 – volume: 1 start-page: a000588 year: 2015 ident: 10.1194/jlr.M079012_bib24 article-title: Metabolomics: an emerging but powerful tool for precision medicine publication-title: Cold Spring Harb. Mol. Case Stud. doi: 10.1101/mcs.a000588 – volume: 93 start-page: 303 year: 1998 ident: 10.1194/jlr.M079012_bib60 article-title: Estimation of a common mean and weighted means statistics publication-title: J. Am. Stat. Assoc. doi: 10.1080/01621459.1998.10474111 – volume: 31 start-page: 2723 year: 2011 ident: 10.1194/jlr.M079012_bib71 article-title: Plasma lipidomic analysis of stable and unstable coronary artery disease publication-title: Arterioscler. Thromb. Vasc. Biol. doi: 10.1161/ATVBAHA.111.234096 – volume: 88 start-page: 524 year: 2016 ident: 10.1194/jlr.M079012_bib18 article-title: Toward merging untargeted and targeted methods in mass spectrometry-based metabolomics and lipidomics publication-title: Anal. Chem. doi: 10.1021/acs.analchem.5b04491 – volume: 407 start-page: 4973 year: 2015 ident: 10.1194/jlr.M079012_bib31 article-title: Optimizing the lipidomics workflow for clinical studies—practical considerations publication-title: Anal. Bioanal. Chem. doi: 10.1007/s00216-015-8633-2 – volume: 1292 start-page: 211 year: 2013 ident: 10.1194/jlr.M079012_bib17 article-title: Development of a lipid profiling system using reverse-phase liquid chromatography coupled to high-resolution mass spectrometry with rapid polarity switching and an automated lipid identification software publication-title: J. Chromatogr. A. doi: 10.1016/j.chroma.2013.01.078 – volume: 7 start-page: 177 year: 1986 ident: 10.1194/jlr.M079012_bib62 article-title: Meta-analysis in clinical trials publication-title: Control. Clin. Trials. doi: 10.1016/0197-2456(86)90046-2 – volume: 406 start-page: 555 year: 2014 ident: 10.1194/jlr.M079012_bib66 article-title: Lipidomic profiling of plasma in patients with chronic hepatitis C infection publication-title: Anal. Bioanal. Chem. doi: 10.1007/s00216-013-7479-8 – volume: 9 start-page: 242 year: 2010 ident: 10.1194/jlr.M079012_bib36 article-title: Interlaboratory study characterizing a yeast performance standard for benchmarking LC-MS platform performance publication-title: Mol. Cell. Proteomics. doi: 10.1074/mcp.M900222-MCP200 – volume: 89 start-page: 656 year: 2017 ident: 10.1194/jlr.M079012_bib40 article-title: Interlaboratory reproducibility of a targeted metabolomics platform for analysis of human serum and plasma publication-title: Anal. Chem. doi: 10.1021/acs.analchem.6b02930 – volume: 6 start-page: 27710 year: 2016 ident: 10.1194/jlr.M079012_bib65 article-title: Gender, contraceptives and individual metabolic predisposition shape a healthy plasma lipidome publication-title: Sci. Rep. doi: 10.1038/srep27710 – volume: 12 start-page: 273 year: 2010 ident: 10.1194/jlr.M079012_bib22 article-title: Lipidomics: a tool for studies of atherosclerosis publication-title: Curr. Atheroscler. Rep. doi: 10.1007/s11883-010-0110-y – volume: 66 start-page: 1 year: 2015 ident: 10.1194/jlr.M079012_bib27 article-title: Advances in sample preparation and analytical techniques for lipidomics study of clinical samples publication-title: Trends Analyt. Chem. doi: 10.1016/j.trac.2014.10.010 – volume: 56 start-page: 722 year: 2015 ident: 10.1194/jlr.M079012_bib26 article-title: Biomarkers of NAFLD progression: a lipidomics approach to an epidemic publication-title: J. Lipid Res. doi: 10.1194/jlr.P056002 – volume: 1 start-page: 21 year: 2011 ident: 10.1194/jlr.M079012_bib76 article-title: Accurate quantification of lipid species by electrospray ionization mass spectrometry—meets a key challenge in lipidomics publication-title: Metabolites. doi: 10.3390/metabo1010021 – volume: 61 start-page: 192 year: 2014 ident: 10.1194/jlr.M079012_bib15 article-title: Comprehensive analysis of lipids in biological systems by liquid chromatography-mass spectrometry publication-title: Trends Analyt. Chem. doi: 10.1016/j.trac.2014.04.017 – volume: 55 start-page: 129 year: 1999 ident: 10.1194/jlr.M079012_bib61 article-title: Maximum likelihood analysis for heteroscedastic one-way random effects ANOVA in interlaboratory studies publication-title: Biometrics. doi: 10.1111/j.0006-341X.1999.00129.x – volume: 50 start-page: S9 year: 2009 ident: 10.1194/jlr.M079012_bib64 article-title: Update of the LIPID MAPS comprehensive classification system for lipids publication-title: J. Lipid Res. doi: 10.1194/jlr.R800095-JLR200 – volume: 28 start-page: 908 year: 2017 ident: 10.1194/jlr.M079012_bib67 article-title: Expanding lipidome coverage using LC-MS/MS data-dependent acquisition with automated exclusion list generation publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1007/s13361-017-1608-0 – volume: 796 start-page: 75 year: 2013 ident: 10.1194/jlr.M079012_bib16 article-title: Versatile lipid profiling by liquid chromatography–high resolution mass spectrometry using all ion fragmentation and polarity switching. Preliminary application for serum samples phenotyping related to canine mammary cancer publication-title: Anal. Chim. Acta. doi: 10.1016/j.aca.2013.08.006 – volume: 14 start-page: 3299 year: 2015 ident: 10.1194/jlr.M079012_bib39 article-title: The 2012/2013 ABRF Proteomic Research Group Study: assessing longitudinal intralaboratory variability in routine peptide liquid chromatography tandem mass spectrometry analyses publication-title: Mol. Cell. Proteomics. doi: 10.1074/mcp.O115.051888 – ident: 10.1194/jlr.M079012_bib57 – ident: 10.1194/jlr.M079012_bib73 – volume: 8 start-page: 25 year: 2013 ident: 10.1194/jlr.M079012_bib5 article-title: Lipids and vascular disease: a Framingham perspective publication-title: Glob. Heart. doi: 10.1016/j.gheart.2012.12.009 – ident: 10.1194/jlr.M079012_bib53 – volume: 46 start-page: 179 year: 2005 ident: 10.1194/jlr.M079012_bib4 article-title: An interpretive history of the cholesterol controversy: part II: the early evidence linking hypercholesterolemia to coronary disease in humans publication-title: J. Lipid Res. doi: 10.1194/jlr.R400012-JLR200 – volume: 30 start-page: 581 year: 2016 ident: 10.1194/jlr.M079012_bib51 article-title: Analysis of human plasma metabolites across different liquid chromatography/mass spectrometry platforms: cross-platform transferable chemical signatures publication-title: Rapid Commun. Mass Spectrom. doi: 10.1002/rcm.7475 – volume: 11 start-page: 593 year: 2010 ident: 10.1194/jlr.M079012_bib21 article-title: Lipidomics: coming to grips with lipid diversity publication-title: Nat. Rev. Mol. Cell Biol. doi: 10.1038/nrm2934 – volume: 29 start-page: 877 year: 2010 ident: 10.1194/jlr.M079012_bib32 article-title: Lipidomics era: accomplishments and challenges publication-title: Mass Spectrum. Rev. doi: 10.1002/mas.20294 – volume: 1450 start-page: 76 year: 2016 ident: 10.1194/jlr.M079012_bib70 article-title: Retention behavior of lipids in reversed-phase ultrahigh-performance liquid chromatography–electrospray ionization mass spectrometry publication-title: J. Chromatogr. A. doi: 10.1016/j.chroma.2016.04.082 – volume: 42 start-page: 663 year: 2001 ident: 10.1194/jlr.M079012_bib77 article-title: Quantitative determination of phospholipid compositions by ESI-MS: effects of acyl chain length, unsaturation, and lipid concentration on instrument response publication-title: J. Lipid Res. doi: 10.1016/S0022-2275(20)31176-7 – volume: 2 start-page: 19 year: 2012 ident: 10.1194/jlr.M079012_bib33 article-title: Mass spectrometry based lipidomics: an overview of technological platforms publication-title: Metabolites. doi: 10.3390/metabo2010019 – volume: 51 start-page: 3299 year: 2010 ident: 10.1194/jlr.M079012_bib14 article-title: Lipidomics reveals a remarkable diversity of lipids in human plasma publication-title: J. Lipid Res. doi: 10.1194/jlr.M009449 – volume: 1811 start-page: 925 year: 2011 ident: 10.1194/jlr.M079012_bib69 article-title: High throughput quantitative molecular lipidomics publication-title: Biochim. Biophys. Acta. doi: 10.1016/j.bbalip.2011.06.025 – volume: 86 start-page: 587 year: 1930 ident: 10.1194/jlr.M079012_bib2 article-title: On the nature and role of the fatty acids essential in nutrition publication-title: J. Biol. Chem. doi: 10.1016/S0021-9258(20)78929-5 – volume: 82 start-page: 345 year: 1929 ident: 10.1194/jlr.M079012_bib1 article-title: A new deficiency disease produced by the rigid exclusion of fat from the diet publication-title: J. Biol. Chem. doi: 10.1016/S0021-9258(20)78281-5 – volume: 8 start-page: 12 year: 2016 ident: 10.1194/jlr.M079012_bib23 article-title: From genomic medicine to precision medicine: highlights of 2015 publication-title: Genome Med. doi: 10.1186/s13073-016-0265-4 – volume: 12 start-page: 149 year: 2016 ident: 10.1194/jlr.M079012_bib47 article-title: Metabolomics enables precision medicine: “a white paper, community perspective publication-title: Metabolomics. doi: 10.1007/s11306-016-1094-6 – volume: 84 start-page: 10064 year: 2012 ident: 10.1194/jlr.M079012_bib75 article-title: Nontargeted quantitation of lipid classes using hydrophilic interaction liquid chromatography–electrospray ionization mass spectrometry with single internal standard and response factor approach publication-title: Anal. Chem. doi: 10.1021/ac3024476 – volume: 18 start-page: 284 year: 2011 ident: 10.1194/jlr.M079012_bib20 article-title: Lipidomics at the interface of structure and function in systems biology publication-title: Chem. Biol. doi: 10.1016/j.chembiol.2011.01.014 – volume: 85 start-page: 11732 year: 2013 ident: 10.1194/jlr.M079012_bib48 article-title: Development of a standard reference material for metabolomics research publication-title: Anal. Chem. doi: 10.1021/ac402689t – volume: 104 start-page: 907S year: 2016 ident: 10.1194/jlr.M079012_bib28 article-title: Current practices and challenges in the standardization and harmonization of clinical laboratory tests publication-title: Am. J. Clin. Nutr. doi: 10.3945/ajcn.115.110387 – volume: 12 start-page: 1 year: 2016 ident: 10.1194/jlr.M079012_bib72 article-title: Increasing lipidomic coverage by selecting optimal mobile-phase modifiers in LC-MS of blood plasma publication-title: Metabolomics. doi: 10.1007/s11306-015-0929-x – volume: 54 start-page: 1812 year: 2013 ident: 10.1194/jlr.M079012_bib35 article-title: A comparison of five lipid extraction solvent systems for lipidomic studies of human LDL publication-title: J. Lipid Res. doi: 10.1194/jlr.M034330 – volume: 26 start-page: 83 year: 2015 ident: 10.1194/jlr.M079012_bib42 article-title: The ABRF Metabolomics Research Group 2013 Study: investigation of spiked compound differences in a human plasma matrix publication-title: J. Biomol. Tech. doi: 10.7171/jbt.15-2603-001 – ident: 10.1194/jlr.M079012_bib58 – volume: 11 start-page: 220 year: 2013 ident: 10.1194/jlr.M079012_bib29 article-title: Criteria for the use of omics-based predictors in clinical trials: explanation and elaboration publication-title: BMC Med. doi: 10.1186/1741-7015-11-220 – volume: 46 start-page: 839 year: 2005 ident: 10.1194/jlr.M079012_bib63 article-title: A comprehensive classification system for lipids publication-title: J. Lipid Res. doi: 10.1194/jlr.E400004-JLR200 – volume: 877 start-page: 2836 year: 2009 ident: 10.1194/jlr.M079012_bib10 article-title: Analytical strategies in lipidomics and applications in disease biomarker discovery publication-title: J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. doi: 10.1016/j.jchromb.2009.01.038 – volume: 11 start-page: 807 year: 2015 ident: 10.1194/jlr.M079012_bib43 article-title: Can we trust untargeted metabolomics? Results of the metabo-ring initiative, a large-scale, multi-instrument inter-laboratory study publication-title: Metabolomics. doi: 10.1007/s11306-014-0740-0 – volume: 10 start-page: 216 year: 2010 ident: 10.1194/jlr.M079012_bib50 article-title: Challenges in mass spectrometry based targeted metabolomics publication-title: Curr. Mol. Med. doi: 10.2174/156652410790963312 – volume: 10 start-page: 158 year: 2006 ident: 10.1194/jlr.M079012_bib46 article-title: Establishing reporting standards for metabolomic and metabonomic studies: a call for participation publication-title: OMICS. doi: 10.1089/omi.2006.10.158 – ident: 10.1194/jlr.M079012_bib54 doi: 10.6028/NIST.IR.8185 – volume: 13 start-page: 30 year: 2017 ident: 10.1194/jlr.M079012_bib74 article-title: A relative quantitative positive/negative ion switching method for untargeted lipidomics via high resolution LC-MS/MS from any biological source publication-title: Metabolomics. doi: 10.1007/s11306-016-1157-8 – start-page: 1 year: 2012 ident: 10.1194/jlr.M079012_bib30 article-title: Lipidomics perspective: from molecular lipidomics to validated clinical diagnostics – volume: 14 start-page: 2357 year: 2015 ident: 10.1194/jlr.M079012_bib38 article-title: Large-scale interlaboratory study to develop, analytically validate and apply highly multiplexed, quantitative peptide assays to measure cancer-relevant proteins in plasma publication-title: Mol. Cell. Proteomics. doi: 10.1074/mcp.M114.047050 – volume: 43 start-page: 219 year: 2009 ident: 10.1194/jlr.M079012_bib41 article-title: International NMR-based environmental metabolomics intercomparison exercise publication-title: Environ. Sci. Technol. doi: 10.1021/es802198z – volume: 39 start-page: 38 year: 2016 ident: 10.1194/jlr.M079012_bib11 article-title: Recent advances in lipidomics for disease research publication-title: J. Sep. Sci. doi: 10.1002/jssc.201500899 – volume: 86 start-page: 161 year: 2014 ident: 10.1194/jlr.M079012_bib34 article-title: Analytical methods in lipidomics and their applications publication-title: Anal. Chem. doi: 10.1021/ac403554h – volume: 13 start-page: 904 year: 2013 ident: 10.1194/jlr.M079012_bib44 article-title: Interlaboratory studies and initiatives developing standards for proteomics publication-title: Proteomics. doi: 10.1002/pmic.201200532 – volume: 106 start-page: 2089 year: 2009 ident: 10.1194/jlr.M079012_bib13 article-title: Lipidomics joins the omics evolution publication-title: Proc. Natl. Acad. Sci. USA. doi: 10.1073/pnas.0812636106 – volume: 54 start-page: 1523 year: 2013 ident: 10.1194/jlr.M079012_bib56 article-title: Shorthand notation for lipid structures derived from mass spectrometry publication-title: J. Lipid Res. doi: 10.1194/jlr.M033506 – volume: 3 start-page: 211 year: 2007 ident: 10.1194/jlr.M079012_bib45 article-title: Proposed minimum reporting standards for chemical analysis publication-title: Metabolomics. doi: 10.1007/s11306-007-0082-2 – volume: 48 start-page: 144 year: 2006 ident: 10.1194/jlr.M079012_bib59 article-title: Confidence interval for a coefficient of dispersion in nonnormal distributions publication-title: Biom. J. doi: 10.1002/bimj.200410148 – volume: 80 start-page: 301 year: 2011 ident: 10.1194/jlr.M079012_bib7 article-title: Applications of mass spectrometry to lipids and membranes publication-title: Annu. Rev. Biochem. doi: 10.1146/annurev-biochem-060409-092612 – volume: 101 start-page: 479 year: 2001 ident: 10.1194/jlr.M079012_bib78 article-title: Analysis of nonvolatile lipids by mass spectrometry publication-title: Chem. Rev. doi: 10.1021/cr9900883 – volume: 365 start-page: 1812 year: 2011 ident: 10.1194/jlr.M079012_bib8 article-title: The human plasma lipidome publication-title: N. Engl. J. Med. doi: 10.1056/NEJMra1104901 – volume: 3 start-page: 433 year: 2010 ident: 10.1194/jlr.M079012_bib6 article-title: Advances in mass spectrometry for lipidomics publication-title: Annu. Rev. Anal. Chem. (Palo Alto Calif). doi: 10.1146/annurev.anchem.111808.073705 – volume: 85 start-page: 11725 year: 2013 ident: 10.1194/jlr.M079012_bib49 article-title: Metabolite profiling of a NIST standard reference material for human plasma (SRM 1950): GC-MS, LC-MS, NMR, and clinical laboratory analyses, libraries, and web-based resources publication-title: Anal. Chem. doi: 10.1021/ac402503m – volume: 307 start-page: C39 year: 2014 ident: 10.1194/jlr.M079012_bib52 article-title: Identification and signature profiles for pro-resolving and inflammatory lipid mediators in human tissue publication-title: Am. J. Physiol. Cell Physiol. doi: 10.1152/ajpcell.00024.2014 – volume: 56 start-page: 185 year: 2015 ident: 10.1194/jlr.M079012_bib25 article-title: Polyunsaturated fatty acid metabolites as novel lipidomic biomarkers for noninvasive diagnosis of nonalcoholic steatohepatitis publication-title: J. Lipid Res. doi: 10.1194/jlr.P055640 – volume: 28 start-page: 562 year: 2017 ident: 10.1194/jlr.M079012_bib55 article-title: LipidPioneer: a comprehensive user-generated exact mass template for lipidomics publication-title: J. Am. Soc. Mass Spectrom. doi: 10.1007/s13361-016-1579-6 – start-page: 1 year: 2005 ident: 10.1194/jlr.M079012_bib12 article-title: The LIPID MAPS approach to lipidomics |
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Title | Harmonizing lipidomics: NIST interlaboratory comparison exercise for lipidomics using SRM 1950–Metabolites in Frozen Human Plasma[S] |
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