Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards

Roberto Mendez, Maria del Carmen Piqueras, Alexander Raskind, Felice A. de Jong, Chris Beecher, Sanjoy K Bhattacharya, Santanu Banerjee

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Various research strategies involving biomarker discovery and mechanistic studies in system biology depend on reproducible and reliable quantification of all metabolites from tissue(s) of interest. Contemporary analytical methods rely on mass spectrometry-based targeted and/or untargeted metabolomics platforms. The robustness of these analyses depends on the cleanliness of the samples, accuracy of the database, resolution of the instrument, and, the most variable of the list, the personal preferences of the researcher and the instrument operator. In this chapter, we introduce a simple method to prepare murine liver samples and carry it through the Isotope Ratio Outlier Analysis (IROA®) pipeline. This pipeline encompasses sample preparation, LC-MS-based peak acquisition, proprietary software-based library creation, normalization, and quantification of metabolites. IROA® offers a unique platform to create and normalize a local library and account for run-to-run variability over years of acquisition using the internal standards (IROA®-IS) and long-term reference standards (IROA®-LTRS).

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages41-46
Number of pages6
DOIs
StatePublished - Jan 1 2019

Publication series

NameMethods in Molecular Biology
Volume1996
ISSN (Print)1064-3745

Fingerprint

Metabolomics
Isotopes
Libraries
Systems Biology
Mass Spectrometry
Software
Biomarkers
Research Personnel
Databases
Liver
Research

Keywords

  • IS
  • Isotope ratio outlier analysis
  • LC-MS
  • LTRS
  • Mass spectrometry
  • Metabolomics
  • Quantitative metabolomics
  • Variability

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Mendez, R., del Carmen Piqueras, M., Raskind, A., de Jong, F. A., Beecher, C., Bhattacharya, S. K., & Banerjee, S. (2019). Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards. In Methods in Molecular Biology (pp. 41-46). (Methods in Molecular Biology; Vol. 1996). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-9488-5_4

Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards. / Mendez, Roberto; del Carmen Piqueras, Maria; Raskind, Alexander; de Jong, Felice A.; Beecher, Chris; Bhattacharya, Sanjoy K; Banerjee, Santanu.

Methods in Molecular Biology. Humana Press Inc., 2019. p. 41-46 (Methods in Molecular Biology; Vol. 1996).

Research output: Chapter in Book/Report/Conference proceedingChapter

Mendez, R, del Carmen Piqueras, M, Raskind, A, de Jong, FA, Beecher, C, Bhattacharya, SK & Banerjee, S 2019, Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards. in Methods in Molecular Biology. Methods in Molecular Biology, vol. 1996, Humana Press Inc., pp. 41-46. https://doi.org/10.1007/978-1-4939-9488-5_4
Mendez R, del Carmen Piqueras M, Raskind A, de Jong FA, Beecher C, Bhattacharya SK et al. Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards. In Methods in Molecular Biology. Humana Press Inc. 2019. p. 41-46. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-9488-5_4
Mendez, Roberto ; del Carmen Piqueras, Maria ; Raskind, Alexander ; de Jong, Felice A. ; Beecher, Chris ; Bhattacharya, Sanjoy K ; Banerjee, Santanu. / Quantitative metabolomics using isotope residue outlier analysis (IROA®) with internal standards. Methods in Molecular Biology. Humana Press Inc., 2019. pp. 41-46 (Methods in Molecular Biology).
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