scispace - formally typeset
Open AccessJournal ArticleDOI

Elemental formula annotation of polar and lipophilic metabolites using 13C, 15N and 34S isotope labelling, in combination with high-resolution mass spectrometry

Reads0
Chats0
TLDR
A comprehensive multi-isotope labelling-based strategy using fully labelled plant tissues, in combination with a fractionated metabolite extraction protocol, which can be applied in either an automated database-dependent or a database-independent analysis of the plant polar metabolome and lipidome.
Abstract
The unbiased and comprehensive analysis of metabolites in any organism presents a major challenge if proper peak annotation and unambiguous assignment of the biological origin of the peaks are required. Here we provide a comprehensive multi-isotope labelling-based strategy using fully labelled (13) C, (15) N and (34) S plant tissues, in combination with a fractionated metabolite extraction protocol. The extraction procedure allows for the simultaneous extraction of polar, semi-polar and hydrophobic metabolites, as well as for the extraction of proteins and starch. After labelling and extraction, the metabolites and lipids were analysed using a high-resolution mass spectrometer providing accurate MS and all-ion fragmentation data, providing an unambiguous readout for every detectable isotope-labelled peak. The isotope labelling assisted peak annotation process employed can be applied in either an automated database-dependent or a database-independent analysis of the plant polar metabolome and lipidome. As a proof of concept, the developed methods and technologies were applied and validated using Arabidopsis thaliana leaf and root extracts. Along with a large repository of assigned elemental compositions, which is provided, we show, using selected examples, the accuracy and reliability of the developed workflow.

read more

Citations
More filters
Dissertation

Topics in mass spectrometry based structure determination

TL;DR: This thesis presents a constant memory space algorithm (DIOPHANTINE), and an output sensitive dynamic programming based algorithm (DP++), outperforming state-of-the-art methods both for integer type and float type problems.

Engineering and Evolution of the Complete Reductive Glycine Pathway in Saccharomyces cerevisiae for Formate and CO2 Assimilation

TL;DR: In this article , the authors adopted a growth-coupled selection scheme for modular implementation of the Reductive Glycine Pathway (RGP) and subsequent Adaptive Laboratory Evolution (ALE) to enable formate and CO2 assimilation for biomass formation in yeast.
Journal ArticleDOI

Preferential mineral N form uptake by sugarcane genotypes contrasting in nitrogen use efficiency

TL;DR: In this paper , the preferential uptake of ammonium and nitrate in sugarcane genotypes contrasting with NUE under controlled conditions was evaluated under three time points: 0, 24, and 72 h after 15 N-fertilization.
Journal ArticleDOI

Comparative Primary Metabolite Profiling of Setaria viridis Reveals Potential Markers to Water Limitation

TL;DR: In this paper , the primary metabolic profile of Setaria viridis was assessed in response to three water levels, i.e., five-day-old seedlings were submitted to water-limiting conditions for 25 days when samples were harvested.
Posted ContentDOI

Circulating Metabolites as Potential Biomarkers for the Early Detection and Prognosis Surveillance of Gastric and Colon Cancers

TL;DR: In this article , the authors aimed to discriminate GI cancers from non-cancers and even allow the classification of cancer subtypes by assessing the alterations in metabolites for a specific cancer type.
References
More filters
Journal ArticleDOI

KEGG for linking genomes to life and the environment

TL;DR: KEGG PATHWAY is now supplemented with a new global map of metabolic pathways, which is essentially a combined map of about 120 existing pathway maps, and the KEGG resource is being expanded to suit the needs for practical applications.
Journal ArticleDOI

XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

TL;DR: An LC/MS-based data analysis approach, XCMS, which incorporates novel nonlinear retention time alignment, matched filtration, peak detection, and peak matching, and is demonstrated using data sets from a previously reported enzyme knockout study and a large-scale study of plasma samples.
Journal ArticleDOI

MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

TL;DR: A new generation of a popular open-source data processing toolbox, MZmine 2 is introduced, suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
Journal ArticleDOI

Mass spectrometry-based metabolomics.

TL;DR: This review presents an overview of the dynamically developing field of mass spectrometry-based metabolomics, a technique that analyzes all detectable analytes in a given sample with subsequent classification of samples and identification of differentially expressed metabolites, which define the sample classes.
Journal ArticleDOI

Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics

TL;DR: In this paper, the methyl-tert-butyl ether (MTBE) extraction method was used for shotgun profiling of lipid species, and the results showed that the MTBE protocol delivered similar or better recoveries of species of most major lipid classes compared with the "gold-standard" Folch or Bligh and Dyer recipes.
Related Papers (5)