Metabolomics applications of FT‐ICR mass spectrometry

Brown, Stephen C.; Kruppa, Gary; Dasseux, Jean-Louis

doi:10.1002/mas.20011

Cited by 264 publications

(219 citation statements)

References 38 publications

(44 reference statements)

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“…Upon performing internal calibration, we obtained an average accuracy below 1 ppm in agreement with previous reports using similar equipment. 26,27 We compared all samples according to the criteria mentioned in the Material and Methods (Selection of Differentially Expressed Peptides) and identified 422 peptide masses as significantly differentially expressed. Correlation analysis based on measured intensities of these 422 peptide masses is shown in Figure 3.…”

Section: Quantitative Maldi-ft-icr-ms Proteome Analysis: Differentialmentioning

confidence: 99%

Proteomic Analysis of Human Osteoblastic Cells: Relevant Proteins and Functional Categories for Differentiation

et al. 2010

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Osteoblasts are the bone forming cells, capable of secreting an extracellular matrix with mineralization potential. The exact mechanism by which osteoblasts differentiate and form a mineralized extracellular matrix is presently not fully understood. To increase our knowledge about this process, we conducted proteomics analysis in human immortalized preosteoblasts (SV-HFO) able to differentiate and mineralize. We identified 381 proteins expressed during the time course of osteoblast differentiation. Gene ontology analysis revealed an overrepresentation of protein categories established as important players for osteoblast differentiation, bone formation, and mineralization such as pyrophosphatases. Proteins involved in antigen presentation, energy metabolism and cytoskeleton rearrangement constitute other overrepresented processes, whose function, albeit interesting, is not fully understood in the context of osteoblast differentiation and bone formation. Correlation analysis, based on quantitative data, revealed a biphasic osteoblast differentiation, encompassing a premineralization and a mineralization period. Identified differentially expressed proteins between mineralized and nonmineralized cells include cytoskeleton (e.g., CCT2, PLEC1, and FLNA) and extracellular matrix constituents (FN1, ANXA2, and LGALS1) among others. FT-ICR-MS data obtained for FN1, ANXA2, and LMNA shows a specific regulation of these proteins during the different phases of osteoblast differentiation. Taken together, this study increases our understanding of the proteomics changes that accompany osteoblast differentiation and may permit the discovery of novel modulators of bone formation.

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Section: Quantitative Maldi-ft-icr-ms Proteome Analysis: Differentialmentioning

confidence: 99%

Proteomic Analysis of Human Osteoblastic Cells: Relevant Proteins and Functional Categories for Differentiation

et al. 2010

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“…The FT-ICR-MS instrument is one of great future potential since it currently off ers the highest levels of resolution (>1000000 for non-complex samples) and mass precision (typically within 1-2 ppm). The instrument's dynamic range is also good (∼5000) (Barrow et al, 2005;Brown et al, 2005). However, due to the low scan speeds employed by FT-ICR-MS, typically 1 scan event per second, it is more appropriate for the direct infusion of samples rather than to apply a priori LC.…”

Section: Trap-based Mass Spectrometrymentioning

confidence: 99%

An introduction to liquid chromatography–mass spectrometry instrumentation applied in plant metabolomic analyses

Allwood

Goodacre

2009

Phytochemical Analysis

218

143

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Over the past decade the application of non-targeted high-throughput metabolomic analysis within the plant sciences has gained ever increasing interest and has truly established itself as a valuable tool for plant functional genomics and studies of plant biochemical composition. Whilst proton nuclear magnetic resonance ( 1 H-NMR) spectroscopy is particularly appropriate for the analysis of bulk metabolites and gas chromatography mass spectrometry (GC-MS) to the analysis of volatile organic compounds (VOC's) and derivatised primary metabolites, liquid chromatography (LC)-MS is highly applicable to the analysis of a wide range of semi-polar compounds including many secondary metabolites of interest to plant researchers and nutritionists. In view of the recent developments in the separation sciences, leading to the advent of ultra high performance liquid chromatography (UHPLC) and MS based technology showing the ever improving resolution of metabolite species and precision of mass measurements (sub-ppm accuracy now being achievable), this review sets out to introduce the background and update the reader upon LC, high performance (HP)LC and UHPLC, as well as the large range of MS instruments that are being applied in current plant metabolomic studies. As well as covering the theory behind modern day LC-MS, the review also discusses the most relevant metabolomics applications for the wide range of MS instruments that are currently being applied to LC.

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“…Mass spectrometry has long been the favourite method for comprehensive metabolome screening; it has the largest scope for metabolite analysis, in terms of the universality, sensitivity and specificity of the measurements 19,22 . Several mass-spectrometric platforms can measure large numbers of metabolites simultaneously in any given sample 18,[23][24][25][26] . ultra-high-accuracy mass analysers 27 achieve molecular-mass resolutions of up to 1,000,000 and mass accuracies that are better than 1 part per million.…”

Section: Mass Spectrometric Metabolome Mappingmentioning

confidence: 99%