Sample Preparation in Global Metabolomics of Biological Fluids and Tissues

Proteomic and Metabolomic Approaches to Biomarker Discovery

Volumn , Issue , 2013, Pages 51-75

  Vuckovic, Dajana ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

Author keywords

Dried blood spots; In vivo sampling; Metabolism quenching; Metabolomics; Method development; Sample preparation; Solvent extraction; Tissues; Ultrafiltration; Untargeted metabolite profiling

Indexed keywords

EID: 84902020140     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-12-394446-7.00004-2     Document Type: Chapter

References (114)

1. Brown M., Dunn W.B., Dobson P., Patel Y., Winder C.L., Francis-Mcintyre S., et al. Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics. Analyst 2009, 134(7):1322-1332.
2. Moco S., Vervoort J., Moco S., Bino R.J., De Vos R.C.H., Bino R. Metabolomics technologies and metabolite identification. Trends Anal Chem 2007, 26(9):855-866.
3. Psychogios N., Hau D.D., Peng J., Guo A.C., Mandal R., Bouatra S., et al. The human serum metabolome. PLoS ONE 2011, 6(2). article e16957.
4. Griffin J.L. Understanding mouse models of disease through metabolomics. Curr Opin Chem Biol 2006, 10(4):309-315.
5. Griffin J.L., Kauppinen R.A. Tumour metabolomics in animal models of human cancer. J Proteome Res 2007, 6(2):498-505.
6. Graça G., Duarte I.F., Goodfellow B.J., Carreira I.M., Couceiro A.B., Domingues M.D.R., et al. Metabolite profiling of human amniotic fluid by hyphenated nuclear magnetic resonance spectroscopy. Anal Chem 2008, 80(15):6085-6092.
7. Álvarez-Sánchez B., Priego-Capote F., Luque de Castro M.D. Metabolomics analysis I. Selection of biological samples and practical aspects preceding sample preparation. Trends Anal Chem 2010, 29(2):111-119.
8. Álvarez-Sánchez B., Priego-Capote F. Luque de Castro MD. Metabolomics analysis II. Preparation of biological samples prior to detection. Trends Anal Chem 2010, 29(2):120-127.
9. Gika H., Theodoridis G. Sample preparation prior to the LC-MS-based metabolomics/metabonomics of blood-derived samples. Bioanalysis 2011, 3(14):1647-1661.
10. Vuckovic D. Current trends and challenges in sample preparation for global metabolomics using liquid chromatography-mass spectrometry. Anal Bioanal Chem 2012, 403(6):1523-1548.
11. Canelas A.B., Ten Pierick A., Ras C., Seifar R.M., Van Dam J.C., Van Gulik W.M., et al. Quantitative evaluation of intracellular metabolite extraction techniques for yeast metabolomics. Anal Chem 2009, 81(17):7379-7389.
12. Duportet X., Aggio R.B.M., Carneiro S., Villas-Bôas S.G. The biological interpretation of metabolomic data can be misled by the extraction method used. Metabolomics 2012, 8(3):410-421.
13. Theodoridis G., Gika H.G., Wilson I.D. LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics. Trends Anal Chem 2008, 27(3):251-260.
14. Dunn W.B., Ellis D.I. Metabolomics: current analytical platforms and methodologies. Trends Anal Chem 2005, 24(4):285-294.
15. Rammouz R.E., Létisse F., Durand S., Portais J., Moussa Z.W., Fernandez X. Analysis of skeletal muscle metabolome: evaluation of extraction methods for targeted metabolite quantification using liquid chromatography tandem mass spectrometry. Anal Biochem 2010, 398:169-177.
16. Bolten C.J., Kiefer P., Letisse F., Portais J., Wittmann C. Sampling for metabolome analysis of microorganisms. Anal Chem 2007, 79(10):3843-3849.
17. Sun G., Yang K., Zhao Z., Guan S., Han X., Gross R.W. Shotgun metabolomics approach for the analysis of negatively charged water-soluble cellular metabolites from mouse heart tissue. Anal Chem 2007, 79(17):6629-6640.
18. Büscher J.M., Czernik D., Ewald J.C., Sauer U., Zamboni N. Cross-platform comparison of methods for quantitative metabolomics of primary metabolism. Anal Chem 2009, 81(6):2135-2143.
19. Deprez S., Sweatman B.C., Connor S.C., Haselden J.N., Waterfield C.J. Optimisation of collection, storage and preparation of rat plasma for 1H NMR spectroscopic analysis in toxicology studies to determine inherent variation in biochemical profiles. J Pharm Biomed Anal 2002, 30(4):1297-1310.
20. Rosenling T., Slim C.L., Christin C., Coulier L., Shi S., Stoop M.P., et al. The effect of preanalytical factors on stability of the proteome and selected metabolites in cerebrospinal fluid (CSF). J Proteome Res 2009, 8(12):5511-5522.
21. Rosenling T., Stoop M.P., Smolinska A., Muilwijk B., Coulier L., Shi S., et al. The impact of delayed storage on the measured proteome and metabolome of human cerebrospinal fluid. Clin Chem 2011, 57(12):1703-1711.
22. t'Kindt R., Morreel K., Deforce D., Boerjan W., Van Bocxlaer J. Joint GC-MS and LC-MS platforms for comprehensive plant metabolomics: repeatability and sample pre-treatment. J Chromatogr B 2009, 877(29):3572-3580.
23. Bernini P., Bertini I., Luchinat C., Nincheri P., Staderini S., Turano P. Standard operating procedures for pre-analytical handling of blood and urine for metabolomic studies and biobanks. J Biomol NMR 2011, 49(3-4):231-243.
24. Cubbon S., Bradbury T., Wilson J., Thomas-Oates J. Hydrophilic interaction chromatography for mass spectrometric metabonomic studies of urine. Anal Chem 2007, 79(23):8911-8918.
25. Ng D.J.Y., Pasikanti K.K., Chan E.C.Y. Trend analysis of metabonomics and systematic review of metabonomics-derived cancer marker metabolites. Metabolomics 2011, 7(2):155-178.
26. Lee R., Britz-McKibbin P. Differential rates of glutathione oxidation for assessment of cellular redox status and antioxidant capacity by capillary electrophoresis-mass spectrometry: an elusive biomarker of oxidative stress. Anal Chem 2009, 81(16):7047-7056.
27. Vuckovic D., De Lannoy I., Gien B., Shirey R.E., Sidisky L.M., Dutta S., et al. In vivo solid-phase microextraction: capturing the elusive portion of metabolome. Angew Chem Int Ed 2011, 50(23):5344-5348.
28. Want E.J., Wilson I.D., Gika H., Theodoridis G., Plumb R.S., Shockcor J., et al. Global metabolic profiling procedures for urine using UPLC-MS. Nat Protoc 2010, 5(6):1005-1018.
29. Gika H.G., Macpherson E., Theodoridis G.A., Wilson I.D. Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples. J Chromatogr B 2008, 871(2):299-305.
30. Legido-Quigleya C., Stella C., Perez-Jimenez F., Lopez-Miranda J., Ordovas J., Powell J., et al. Liquid chromatography-mass spectrometry methods for urinary biomarker detection in metabonomic studies with application to nutritional studies. Biomed Chromatogr 2010, 24(7):737-743.
31. Issaq H.J., Nativ O., Waybright T., Luke B., Veenstra T.D., Issaq E.J., et al. Detection of bladder cancer in human urine by metabolomic profiling using high performance liquid chromatography/mass spectrometry. J Urol 2008, 179(6):2422-2426.
32. Waybright T.J., Van Q.N., Muschik G.M., Conrads T.P., Veenstra T.D., Issaq H.J. LC-MS in metabonomics: optimization of experimental conditions for the analysis of metabolites in human urine. J Liquid Chromatogr Relat Technol 2006, 29(17):2475-2497.
33. Lauridsen M., Hansen S.H., Jaroszewski J.W., Cornett C. Human urine as test material in 1H NMR-based metabonomics: recommendations for sample preparation and storage. Anal Chem 2007, 79(3):1181-1186.
34. Chan E.C.Y., Pasikanti K.K., Nicholson J.K. Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry. Nat Protoc 2011, 6(10):1483-1499.
35. Gika H.G., Theodoridis G.A., Wilson I.D. Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine. Sample stability under different handling and storage conditions for metabonomics studies. J Chromatogr A 2008, 1189(1-2):314-322.
36. Bando K., Kawahara R., Kunimatsu T., Sakai J., Kimura J., Funabashi H., et al. Influences of biofluid sample collection and handling procedures on GC-MS based metabolomic studies. J Biosci Bioeng 2010, 110(4):491-499.
37. Kind T., Tolstikov V., Fiehn O., Weiss R.H. A comprehensive urinary metabolomic approach for identifying kidney cancer. Anal Biochem 2007, 363(2):185-195.
38. Stoop M.P., Coulier L., Rosenling T., Shi S., Smolinska A.M., Buydens L., et al. Quantitative proteomics and metabolomics analysis of normal human cerebrospinal fluid samples. Mol Cell Proteomics 2010, 9(9):2063-2075.
39. Crews B., Wikoff W.R., Patti G.J., Woo H.-, Kalisiak E., Heideker J., et al. Variability analysis of human plasma and cerebral spinal fluid reveals statistical significance of changes in mass spectrometry-based metabolomics data. Anal Chem 2009, 81(20):8538-8544.
40. Wishart D.S., Lewis M.J., Morrissey J.A., Flegel M.D., Jeroncic K., Xiong Y., et al. The human cerebrospinal fluid metabolome. J Chromatogr B: Anal Technol Biomed Life Sci 2008, 871(2):164-173.
41. Zelena E., Dunn W.B., Broadhurst D., Francis-McIntyre S., Carroll K.M., Begley P., et al. Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum. Anal Chem 2009, 81(4):1357-1364.
42. Michopoulos F., Lai L., Gika H., Theodoridis G., Wilson I. UPLC-MS-based analysis of human plasma for metabonomics using solvent precipitation or solid phase extraction. J Proteome Res 2009, 8(4):2114-2121.
43. Chang M.S., Ji Q., Zhang J., El-Shourbagy T.A. Historical review of sample preparation for chromatographic bioanalysis: pros and cons. Drug Dev Res 2007, 68(3):107-133.
44. Dunn W.B., Broadhurst D., Begley P., Zelena E., Francis-Mcintyre S., Anderson N., et al. Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat Protoc 2011, 6(7):1060-1083.
45. Denery J.R., Nunes A.A.K., Dickerson T.J. Characterization of differences between blood sample matrices in untargeted metabolomics. Anal Chem 2011, 83(3):1040-1047.
46. Teahan O., Gamble S., Holmes E., Waxman J., Nicholson J.K., Bevan C., et al. Impact of analytical bias in metabonomic studies of human blood serum and plasma. Anal Chem 2006, 78:4307-4318.
47. Wedge D.C., Allwood J.W., Dunn W., Vaughan A.A., Simpson K., Brown M., et al. Is serum or plasma more appropriate for intersubject comparisons in metabolomic studies? An assessment in patients with small-cell lung cancer. Anal Chem 2011, 83(17):6689-6697.
48. Yu Z., Kastenmüller G., He Y., Belcredi P., Möller G., Prehn C., et al. Differences between human plasma and serum metabolite profiles. PLoS ONE 2011, 6(7).
49. Brauer R., Leichtle A.B., Fiedler G.M., Thiery J., Ceglarek U. Preanalytical standardization of amino acid and acylcarnitine metabolite profiling in human blood using tandem mass spectrometry. Metabolomics 2011, 7(3):344-352.
50. Pereira H., Martin J.F., Joly C., Sébédio J.L., Pujos-Guillot E. Development and validation of a UPLC/MS method for a nutritional metabolomic study of human plasma. Metabolomics 2010, 6(2):207-218.
51. Beckonert O., Keun H.C., Ebbels T.M., Bundy J., Holmes E., Lindon J.C., et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc 2007, 2(11):2692-2703.
52. Polson C., Sarkar P., Incledon B., Raguvaran V., Grant R. Optimization of protein precipitation based upon effectiveness of protein removal and ionization effect in liquid chromatography-tandem mass spectrometry. J Chromatogr B: Anal Tech Biomed Life Sci 2003, 785(2):263-275.
53. Bruce S.J., Tavazzi I., Parisod V., Rezzi S., Kochhar S., Guy P.A. Investigation of human blood plasma sample preparation for performing metabolomics using ultrahigh performance liquid chromatography/mass spectrometry. Anal Chem 2009, 81(9):3285-3296.
54. Want E.J., O'Maille G., Smith C.A., Brandon T.R., Uritboonthai W., Qin C., et al. Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry. Anal Chem 2006, 78(3):743-752.
55. Beltran A., Suarez M., Rodríguez M.A., Vinaixa M., Samino S., Arola L., et al. Assessment of compatibility between extraction methods for NMR- and LC/MS-based metabolomics. Anal Chem 2012, 84(14):5838-5844.
56. Bruce S.J., Jonsson P., Antti H., Cloarec O., Trygg J., Marklund S.L., et al. Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: from extraction to data analysis. Anal Biochem 2008, 372(2):237-249.
57. Begley P., Francis-McIntyre S., Dunn W.B., Broadhurst D.I., Halsall A., Tseng A., et al. Development and performance of a gas chromatography-time-of-flight mass spectrometry analysis for large-scale nontargeted metabolomic studies of human serum. Anal Chem 2009, 81(16):7038-7046.
58. Shellie R.A., Welthagen W., Zrostlikova J., Spranger J., Ristow M., Fiehn O., et al. Statistical methods for comparing comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry results: metabolomic analysis of mouse tissue extracts. J Chromatogr A 2005, 1086(1-2):83-90.
59. Denkert C., Budczies J., Kind T., Weichert W., Tablack P., Sehouli J., et al. Mass spectrometry-based metabolic profiling reveals different metabolite patterns in invasive ovarian carcinomas and ovarian borderline tumors. Cancer Res 2006, 66(22):10795-10804.
60. Hong Z., Lin Z., Liu Y., Tan G., Lou Z., Zhu Z., et al. Innovative microwave-assisted oximation and silylation procedures for metabolomic analysis of plasma samples using gas chromatography-mass spectrometry. J Chromatogr A 2012, 1254:14-22.
61. Lawton K.A., Berger A., Mitchell M., Milgram K.E., Evans A.M., Guo L., et al. Analysis of the adult human plasma metabolome. Pharmacogenomics 2008, 9(4):383-397.
62. Sreekumar A., Poisson L.M., Rajendiran T.M., Khan A.P., Cao Q., Yu J., et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature 2009, 457(7231):910-914.
63. Czech C., Berndt P., Busch K., Schmitz O., Wiemer J., Most V., et al. Metabolite profiling of Alzheimer's disease cerebrospinal fluid. PLoS ONE 2012, 7(2).
64. Whiley L., Godzien J., Ruperez F.J., Legido-Quigley C., Barbas C. In-vial dual extraction for direct LC-MS analysis of plasma for comprehensive and highly reproducible metabolic fingerprinting. Anal Chem 2012, 84(14):5992-5999.
65. Pesek J.J., Matyska M.T., Loo J.A., Fischer S.M., Sana T.R. Analysis of hydrophilic metabolites in physiological fluids by HPLC-MS using a silica hydride-based stationary phase. J Sep Sci 2009, 32(13):2200-2208.
66. Courant F., Pinel G., Bichon E., Monteau F., Antignac J.P., Le Bizec B. Development of a metabolomic approach based on liquid chromatography-high resolution mass spectrometry to screen for clenbuterol abuse in calves. Analyst 2009, 134(8):1637-1646.
67. Khin T.M., Uehara T., Aoshima K., Oda Y. Polar anionic metabolome analysis by nano-LC/MS with a metal chelating agent. Anal Chem 2009, 81(18):7766-7772.
68. Darghouth D., Koehl B., Madalinski G., Heilier J., Bovee P., Xu Y., et al. Pathophysiology of sickle cell disease is mirrored by the red blood cell metabolome. Blood 2011, 117(6):e57-e66.
69. Tiziani S., Emwas A.H., Lodi A., Ludwig C., Bunce C.M., Viant M.R., et al. Optimized metabolite extraction from blood serum for 1H nuclear magnetic resonance spectroscopy. Anal Biochem 2008, 377(1):16-23.
70. Vuckovic D., Pawliszyn J. Systematic evaluation of solid-phase microextraction coatings for untargeted metabolomic profiling of biological fluids by liquid chromatography-mass spectrometry. Anal Chem 2011, 83(6):1944-1954.
71. Van Q.N., Veenstra T.D., Issaq H.J. Metabolic profiling for the detection of bladder cancer. Curr Urol Rep 2011, 12(1):34-40.
72. Rezzi S., Vera F.A., Martin F.-J., Wang S., Lawler D., Kochhar S. Automated SPE-RP-HPLC fractionation of biofluids combined to off-line NMR spectroscopy for biomarker identification in metabonomics. J Chromatogr B: Anal Tech Biomed Life Sci 2008, 871(2):271-278.
73. Idborg-Bjorkman H., Edlund P., Kvalheim O.M., Schuppe-Koistinen I., Jacobsson S.P. Screening of biomarkers in rat urine using LC/electrospray ionization-MS and two-way data analysis. Anal Chem 2003, 75(18):4784-4792.
74. Lee S.H., Woo H.M., Jung B.H., Lee J., Kwon O.S., Pyo H.S., et al. Metabolomic approach to evaluate the toxicological effects of nonylphenol with rat urine. Anal Chem 2007, 79(16):6102-6110.
75. Giavalisco P., Hummel J., Lisec J., Inostroza A.C., Catchpole G., Willmitzer L. High-resolution direct infusion-based mass spectrometry in combination with whole 13C metabolome isotope labeling allows unambiguous assignment of chemical sum formulas. Anal Chem 2008, 80(24):9417-9425.
76. Evans A.M., DeHaven C.D., Barrett T., Mitchell M., Milgram E. Integrated, nontargeted ultrahigh performance liquid chromatography/electrospray ionization tandem mass spectrometry platform for the identification and relative quantification of the small-molecule complement of biological systems. Anal Chem 2009, 81(16):6656-6667.
77. Minami Y., Kasukawa T., Kakazu Y., Iigo M., Sugimoto M., Ikeda S., et al. Measurement of internal body time by blood metabolomics. Proc Natl Acad Sci U S A 2009, 106(24):9890-9895.
78. Yin P., Zhao X., Li Q., Wang J., Li J., Xu G. Metabonomics study of intestinal fistulas based on ultraperformance liquid chromatography coupled with Q-TOF mass spectrometry (UPLC/Q-TOF MS). J Proteome Res 2006, 5(9):2135-2143.
79. Wikoff W.R., Anfora A.T., Liu J., Schultz P.G., Lesley S.A., Peters E.C., et al. Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. Proc Natl Acad Sci U S A 2009, 106(10):3698-3703.
80. Dunn W.B., Broadhurst D., Brown M., Baker P.N., Redman C.W.G., Kenny L.C., et al. Metabolic profiling of serum using ultra performance liquid chromatography and the LTQ-Orbitrap mass spectrometry system. J Chromatogr B 2008, 871(2):288-298.
81. Álvarez-Sánchez B., Priego-Capote F., Luque de Castro MD. Study of sample preparation for metabolomic profiling of human saliva by liquid chromatography-time of flight/mass spectrometry. J Chromatogr A 2012, 1248:178-181.
82. Beckonert O., Coen M., Keun H.C., Wang Y., Ebbels T.M., Holmes E., et al. High-resolution magic-angle-spinning NMR spectroscopy for metabolic profiling of intact tissues. Nat Protoc 2010, 5(6):1019-1032.
83. Theodoridis G.A., Gika H.G., Want E.J., Wilson I.D. Liquid chromatography-mass spectrometry based global metabolite profiling: A review. Anal Chim Acta 2012, 711:7-16.
84. Lin C.Y., Wu H., Tjeerdema R.S., Viant M.R. Evaluation of metabolite extraction strategies from tissue samples using NMR metabolomics. Metabolomics 2007, 3(1):55-67.
85. Geier F.M., Want E.J., Leroi A.M., Bundy J.G. Cross-platform comparison of caenorhabditis elegans tissue extraction strategies for comprehensive metabolome coverage. Anal Chem 2011, 83(10):3730-3736.
86. Dunn W.B., Brown M., Worton S.A., Davies K., Jones R.L., Kell D.B., et al. The metabolome of human placental tissue: investigation of first trimester tissue and changes related to preeclampsia in late pregnancy. Metabolomics 2012, 8(4):579-597.
87. Wu H., Southam A.D., Hines A., Viant M.R. High-throughput tissue extraction protocol for NMR- and MS-based metabolomics. Anal Biochem 2008, 372(2):204-212.
88. Saric J., Want E.J., Duthaler U., Lewis M., Keiser J., Schockcor J.P., et al. Systematic evaluation of extraction methods for multi-platform based metabotyping: application to the Fasciola hepatica metabolome. Anal Chem 2012, 84(16):6963-6972.
89. Williams J., Wood J., Pandarinathan L., Karanian D., Bahr B., Vouros P., et al. Quantitative method for the profiling of the endocannabinoid metabolome by LC-atmospheric pressure chemical ionization-MS. Anal Chem 2007, 79(15):5582-5593.
90. Masson P., Spagou K., Nicholson J.K., Want E.J. Technical and biological variation in UPLC-MS-based untargeted metabolic profiling of liver extracts: application in an experimental toxicity study on galactosamine. Anal Chem 2011, 83(3):1116-1123.
91. Masson P., Alves A.C., Ebbels T.M.D., Nicholson J.K., Want E.J. Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS. Anal Chem 2010, 82(18):7779-7786.
92. Parab G.S., Rao R., Lakshminarayanan S., Von Bing Y., Moochhala S.M., Swarup S. Data-driven optimization of metabolomics methods using rat liver samples. Anal Chem 2009, 81(4):1315-1323.
93. Ellinger J.J., Miller D.C., Lewis I.A., Markley J.L. Semiautomated device for batch extraction of metabolites from tissue samples. Anal Chem 2012, 84(4):1809-1812.
94. Price K.E., Larive C.K., Lunte C.E. Tissue-targeted metabonomics: biological considerations and application to doxorubicin-induced hepatic oxidative stress. Metabolomics 2009, 5(2):219-228.
95. Price K.E., Lunte C.E., Larive C.K. Development of tissue-targeted metabonomics. Part 1. Analytical considerations. J Pharm Biomed Anal 2008, 46(4):737-747.
96. Wibom C., Surowiec I., Mörén L., Bergström P., Johansson M., Antti H., et al. Metabolomic patterns in glioblastoma and changes during radiotherapy: A clinical microdialysis study. J Proteome Res 2010, 9(6):2909-2919.
97. Hrydziuszko O., Silva M.A., Perera M.T., Richards D.A., Murphy N., Mirza D., et al. Application of metabolomics to investigate the process of human orthotopic liver transplantation: a proof-of-principle study. OMICS 2010, 14(2):143-150.
98. Ouyang G., Vuckovic D., Pawliszyn J. Nondestructive sampling of living systems using in vivo solid-phase microextraction. Chem Rev 2011, 111(4):2784-2814.
99. Vuckovic D., Risticevic S., Pawliszyn J. In vivo solid-phase microextraction in metabolomics: opportunities for the direct investigation of biological systems. Angew Chem Int Ed 2011, 50(25):5618-5628.
100. Lord H.L., Zhang X., Musteata F.M., Vuckovic D., Pawliszyn J. In vivo solid-phase microextraction for monitoring intravenous concentrations of drugs and metabolites. Nat Protoc 2011, 6(6):896-924.
101. Vuckovic D., Shirey R., Chen Y., Sidisky L., Aurand C., Stenerson K., et al. In vitro evaluation of new biocompatible coatings for solid-phase microextraction: implications for drug analysis and in vivo sampling applications. Anal Chim Acta 2009, 638(2):175-185.
102. Vuckovic D., Gien B., de Lannoy I., Musteata F.M., Shirey R., Sidisky L., et al. In vivo solid-phase microextraction for single rodent pharmacokinetics studies of carbamazepine and carbamazpine- 10,11-epoxide in mice. J Chromatogr A 2011, 1218:3367-3375.
103. Zhang X., Oakes K.D., Cui S., Bragg L., Servos M.R., Pawliszyn J. Tissue-specific in vivo bioaccumulation of pharmaceuticals in rainbow trout (Oncorhynchus mykiss) using space-resolved solid-phase microextraction. Environ Sci Technol 2010, 44(9):3417-3422.
104. Musteata F.M., de Lannoy I., Gien B., Pawliszyn J. Blood sampling without blood draws for in vivo pharmacokinetic studies in rats. J Pharm Biomed Anal 2008, 47(4-5):907-912.
105. Michopoulos F., Edge A.M., Theodoridis G., Wilson I.D. Application of turbulent flow chromatography to the metabonomic analysis of human plasma: Comparison with protein precipitation. J Sep Sci 2010, 33(10):1472-1479.
106. Ceglarek U., Leichtle A., Brügel M., Kortz L., Brauer R., Bresler K., et al. Challenges and developments in tandem mass spectrometry based clinical metabolomics. Mol Cell Endocrinol 2009, 301(1-2):266-271.
107. Kong S.T., Lin H.-, Ching J., Ho P.C. Evaluation of dried blood spots as sample matrix for gas chromatography/mass spectrometry based metabolomic profiling. Anal Chem 2011, 83(11):4314-4318.
108. Michopoulos F., Theodoridis G., Smith C.J., Wilson I.D. Metabolite profiles from dried blood spots for metabonomic studies using UPLC combined with orthogonal acceleration ToF-MS: effects of different papers and sample storage stability. Bioanalysis 2011, 3(24):2757-2767.
109. Michopoulos F., Theodoridis G., Smith C.J., Wilson I.D. Metabolite profiles from dried biofluid spots for metabonomic studies using UPLC combined with oaToF-MS. J Proteome Res 2010, 9(6):3328-3334.
110. Wilson I. Global metabolic profiling (metabonomics/metabolomics) using dried blood spots: advantages and pitfalls. Bioanalysis 2011, 3(20):2255-2257.
111. Smilde A.K., Van Der Werf M.J., Schaller J., Kistemaker C. Characterizing the precision of mass-spectrometry-based metabolic profiling platforms. Analyst 2009, 134(11):2281-2285.
112. Croixmarie V., Umbdenstock T., Cloarec O., Moreau A., Pascussi J.M., Boursier-Neyret C., et al. Integrated comparison of drug-related and drug-induced ultra performance liquid chromatography/mass spectrometry metabonomic profiles using human hepatocyte cultures. Anal Chem 2009, 81(15):6061-6069.
113. Koek M.M., Jellema R.H., van der Greef J., Tas A.C., Hankemeier T. Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives. Metabolomics 2011, 7(3):307-328.
114. Guo K., Peng J., Zhou R., Li L. Ion-pairing reversed-phase liquid chromatography fractionation in combination with isotope labeling reversed-phase liquid chromatography-mass spectrometry for comprehensive metabolome profiling. J Chromatogr A 2011, 1218(23):3689-3694.