The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping
Abstract
Analytical errors caused by suboptimal performance of the chosen platform for a number of metabolites and instrumental drift are a major issue in large-scale metabolomics studies. Especially for MS-based methods, which are gaining common ground within metabolomics, it is difficult to control the analytical data quality without the availability of suitable labeled internal standards and calibration standards even within one laboratory. In this paper, we suggest a workflow for significant reduction of the analytical error using pooled calibration samples and multiple internal standard strategy. Between and within batch calibration techniques are applied and the analytical error is reduced significantly (increase of 25% of peaks with RSD lower than 20%) and does not hamper or interfere with statistical analysis of the final data.
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van den Berg, R. A., Hoefsloot, H. C., Westerhuis, J. A., Smilde, A. K., & van der Werf, M. J. (2006) · BMC Genomics · doi:10.1186/1471-2164-7-142 · Cited by 2,450
Eilers, P. H. C. (2003) · Analytical Chemistry · doi:10.1021/ac034173t · Cited by 1,340
Large-Scale Human Metabolomics Studies: A Strategy for Data (Pre-) Processing and Validation
Bijlsma, S., Bobeldijk, I., Verheij, E. R., Ramaker, R., Kochhar, S., Macdonald, I. A., van Ommen, B., & Smilde, A. K. (2006) · Analytical Chemistry · doi:10.1021/ac051495j · Cited by 867
Self-citationPotential of metabolomics as a functional genomics tool
Bino, R. J., Hall, R. D., Fiehn, O., Kopka, J., Saito, K., Draper, J., Nikolau, B. J., Mendes, P., Roessner-Tunali, U., Beale, M. H., et al. (2004) · Trends in Plant Science · doi:10.1016/j.tplants.2004.07.004 · Cited by 779
Gika, H. G., Theodoridis, G. A., Wingate, J. E., & Wilson, I. D. (2007) · Journal of Proteome Research · doi:10.1021/pr070183p · Cited by 502
Metabolomics in human nutrition: opportunities and challenges
Gibney, M. J., Walsh, M. C., Brennan, L., Roche, H. M., German, B. J., & van Ommen, B. (2005) · American Journal of Clinical Nutrition · doi:10.1093/ajcn.82.3.497 · Cited by 452
Normalization method for metabolomics data using optimal selection of multiple internal standards
Sysi-Aho, M., Katajamaa, M., Yetukuri, L., & Orešič, M. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-93 · Cited by 358
Schaub, S., Wilkins, J., Weiler, T., Sangster, K., Rush, D., & Nickerson, P. (2004) · Kidney International · doi:10.1111/j.1523-1755.2004.00352.x · Cited by 328
Microbial Metabolomics with Gas Chromatography/Mass Spectrometry
Koek, M. M., Muilwijk, B., van der Werf, M. J., & Hankemeier, T. (2006) · Analytical Chemistry · doi:10.1021/ac051683+ · Cited by 316
Systems biology, metabolic modelling and metabolomics in drug discovery and development
Kell, D. B. (2006) · Drug Discovery Today · doi:10.1016/j.drudis.2006.10.004 · Cited by 297
Walsh, M. C., Brennan, L., Malthouse, J. P. G., Roche, H. M., & Gibney, M. J. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.3.531 · Cited by 291
The Art and Practice of Systems Biology in Medicine: Mapping Patterns of Relationships
van der Greef, J., Martin, S., Juhasz, P., Adourian, A., Plasterer, T., Verheij, E. R., & McBurney, R. N. (2007) · Journal of Proteome Research · doi:10.1021/pr0606530 · Cited by 201
Self-citationDunn, W. B., Broadhurst, D., Brown, M., Baker, P. N., Redman, C. W. G., Kenny, L. C., & Kell, D. B. (2008) · Journal of Chromatography B · doi:10.1016/j.jchromb.2008.03.021 · Cited by 188
Microbial metabolomics: replacing trial-and-error by the unbiased selection and ranking of targets
WERF, M. J. V. D., Jellema, R. H., & Hankemeier, T. (2005) · Journal of Industrial Microbiology & Biotechnology · doi:10.1007/s10295-005-0231-4 · Cited by 144
Self-citationWopereis, S., Rubingh, C. M., van Erk, M. J., Verheij, E. R., van Vliet, T., Cnubben, N. H. P., Smilde, A. K., van der Greef, J., van Ommen, B., & Hendriks, H. F. J. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004525 · Cited by 123
Self-citationBobeldijk, I., Hekman, M., der Weij, J. D. V.-V., Coulier, L., Ramaker, R., Kleemann, R., Kooistra, T., Rubingh, C. M., Freidig, A. P., & Verheij, E. R. (2008) · Journal of Chromatography B · doi:10.1016/j.jchromb.2008.05.008 · Cited by 112
Self-citationDrake, S. K., Bowen, R. A. R., Remaley, A. T., & Hortin, G. L. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.040303 · Cited by 107
Instrumental and experimental effects in LC–MS-based metabolomics
Burton, L., Ivosev, G., Tate, S. A., Impey, G., Wingate, J., & Bonner, R. F. (2008) · Journal of Chromatography B · doi:10.1016/j.jchromb.2008.04.044 · Cited by 62
WERF, M. J. V. D., Takors, R., Smedsgaard, J., Nielsen, J., Ferenci, T., Portais, J., Wittmann, C., Hooks, M. A., Tomassini, A., Oldiges, M., et al. (2007) · Metabolomics · doi:10.1007/s11306-007-0080-4 · Cited by 61
Comprehensive analysis of the metabolome of Pseudomonas putida S12 grown on different carbon sources
WERF, M. J. V. D., Overkamp, K. M., Muilwijk, B., Koek, M. M., der Vat, B. J. C. V. D. W.-V., Jellema, R. H., Coulier, L., & Hankemeier, T. (2008) · Molecular BioSystems · doi:10.1039/b717340g · Cited by 60
Self-citationEffects of Growth Conditions and Processing onRehmannia glutinosausing Fingerprint Strategy
Chang, W.-T., Thissen, U., Ehlert, K. A., Koek, M. M., Jellema, R. H., Hankemeier, T., van der Greef, J., & Wang, M. (2006) · Planta Medica · doi:10.1055/s-2005-916241 · Cited by 59
Self-citationElectrospray ionization suppression, a physical or a chemical phenomenon?
Beaudry, F., & Vachon, P. (2005) · Biomedical Chromatography · doi:10.1002/bmc.553 · Cited by 47
Cited by
The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
Gorrochategui, E., Jaumot, J., Lacorte, S., & Tauler, R. (2016) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2016.07.004 · Cited by 352
Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T. (2011) · Metabolomics · doi:10.1007/s11306-010-0254-3 · Cited by 353
Self-citationBakker, G. C., van Erk, M. J., Pellis, L., Wopereis, S., Rubingh, C. M., Cnubben, N. H., Kooistra, T., van Ommen, B., & Hendriks, H. F. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28822 · Cited by 252
Menstrual cycle rhythmicity: metabolic patterns in healthy women
Draper, C. F., Duisters, K., Weger, B., Chakrabarti, A., Harms, A. C., Brennan, L., Hankemeier, T., Goulet, L., Konz, T., Martin, F. P., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-32647-0 · Cited by 221
Metadata
- Authors
- van der Kloet, F. M., Bobeldijk, I., Verheij, E. R., & Jellema, R. H.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-09-30
- Volume
- 8
- Issue
- 11
- Pages
- 5132-5141
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W2125575989
- Cited by
- 317
- References
- 22
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
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