Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives

Koek, Maud M.; Jellema, Renger H.; Greef, J. van der; Taş, A. Cüneyt; Hankemeier, Thomas

doi:10.1007/s11306-010-0254-3

Cited by 302 publications

(220 citation statements)

References 105 publications

(105 reference statements)

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“…As we wanted to scan metabolites from different metabolite families (because of their various but connected roles in general organismal physiology), we used gas chromatography-mass spectrometry (GC-MS) metabolomics (Koek et al 2011;Khodayari et al 2013). For each population, we constructed the metabolomic profile of five replicated pooled sets of 50 2-day-adult female mites (four for locality "SKA," where one set was lost).…”

Section: Field Sampling and Common Gardenmentioning

confidence: 99%

Metabolic adaptations in a range expanding arthropod

Petegem

Renault

Stoks

et al. 2016

Preprint

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Despite an increasing number of studies documenting life-history evolution during range expansions or shifts, we lack a mechanistic understanding of the underlying physiological processes. In this explorative study, we used a metabolomics approach to study physiological changes associated with the recent range expansion of the two-spotted spider mite (Tetranychus urticae). Mite populations were sampled along a latitudinal gradient from range core to edge and reared under benign common garden conditions for two generations. Using gas chromatography-mass spectrometry, we obtained metabolic population profiles, which showed a gradual differentiation along the latitudinal gradient, indicating (epi)genetic changes in the metabolome in association with range expansion. These changes seemed not related with shifts in the mites' energetic metabolism, but rather with differential use of amino acids. Particularly, more dispersive northern populations showed lowered concentrations of several essential and nonessential amino acids, suggesting a potential downregulation of metabolic pathways associated with protein synthesis.

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Section: Field Sampling and Common Gardenmentioning

confidence: 99%

Metabolic adaptations in a range expanding arthropod

Petegem

Renault

Stoks

et al. 2016

Preprint

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“…The selection of biomarkers of interest by genomics, proteomics, or metabolomics based on performance criteria is difficult and time consuming. The validation of biomarkers is also complicated and must address important parameters such as the range of the measurements, accuracy, selectivity, linearity, reproducibility, robustness, and the limits of detection (70).…”

Section: Challengesmentioning

confidence: 99%

Metabolomics: Applications and Promise in Mycobacterial Disease

Mirsaeidi

Banoei²,

Winston

et al. 2015

Annals ATS

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Until recently, the study of mycobacterial diseases was trapped in culture-based technology that is more than a century old. The use of nucleic acid amplification is changing this, and powerful new technologies are on the horizon. Metabolomics, which is the study of sets of metabolites of both the bacteria and host, is being used to clarify mechanisms of disease, and can identify changes leading to better diagnosis, treatment, and prognostication of mycobacterial diseases. Metabolomic profiles are arrays of biochemical products of genes in their environment. These complex patterns are biomarkers that can allow a more complete understanding of cell function, dysfunction, and perturbation than genomics or proteomics. Metabolomics could herald sweeping advances in personalized medicine and clinical trial design, but the challenges in metabolomics are also great. Measured metabolite concentrations vary with the timing within a condition, the intrinsic biology, the instruments, and the sample preparation. Metabolism profoundly changes with age, sex, variations in gut microbial flora, and lifestyle. Validation of biomarkers is complicated by measurement accuracy, selectivity, linearity, reproducibility, robustness, and limits of detection. The statistical challenges include analysis, interpretation, and description of the vast amount of data generated. Despite these drawbacks, metabolomics provides great opportunity and the potential to understand and manage mycobacterial diseases.

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“…In addition to extraction, derivatization is usually needed to improve volatility and stability, and reduce polarity. This requires multiple steps of sample preparation and complicates comparisons across studies, as different reagents are used depending on the purpose of the derivatization in the GC-MS process [23] . Yet, some non-volatile, polar macromolecules are still unsuitable for analysis.…”

Section: Ms-based Methods For Metabolomics Ms Re-mentioning

confidence: 99%

“…Yet, some non-volatile, polar macromolecules are still unsuitable for analysis. In spite of these disadvantages, GC-MS is still a highly attractive analytical system because of its high separation efficiency, re pro ducible retention time and available compound libraries to identify metabolites based on both retention time in the column and the fragmentation pattern produced by the mass spectrometer [23] . (2) to its high throughput, soft ionization, and good coverage of metabolites, as well as its sensitivity and quantitative reproducibility [24] .…”

Section: Ms-based Methods For Metabolomics Ms Re-mentioning

confidence: 99%

Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer’s disease

Huang

Wang

et al. 2012

Neurosci. Bull.

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Although the pathogenesis of Alzheimer's disease (AD) is still not fully understood, it is acknowledged that intervention should be made at the early stage. Therefore, identifying biomarkers for the clinical diagnosis is critical.Metabolomics, a novel "omics", uses methods based on low-molecular-weight molecules, with high-throughput evaluation of a large number of metabolites that may lead to the identification of new disease-specific biomarkers and the elucidation of pathophysiological mechanisms. This review discusses metabolomics investigations of AD and potential future developments in this field.

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Quantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives

Cited by 302 publications

References 105 publications

Metabolic adaptations in a range expanding arthropod

Metabolic adaptations in a range expanding arthropod

Metabolomics: Applications and Promise in Mycobacterial Disease

Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer’s disease

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