Untargeted metabolomics is a useful approach for the simultaneous analysis of a vast array of compounds from a single extract. Metabolomic profiling is the relative multi-parallel quantification of a mixture of low molecular weight compounds, or classes of compounds, and it is most often performed by using ultra performance liquid chromatography (UPLC) coupled with mass spectrometry (MS). Being an extension of the classical targeted methods, this approach allows a broader view of the main biochemical events within a particular sample. This chapter exemplifies and provides experimental details on the basic steps to perform a non-targeted metabolomic analysis on plant leaf tissues: sample collection and homogenization, extraction of metabolites, raw data acquisition, and processing into formats for data mining and informatics. In particular, the approach was applied to two spring wheat varieties with different level of drought tolerance (Kavir, drought-resistant; Bahar, drought-sensitive) developed by the CIMMYT (International Center for the Improvement of Corn and Wheat).
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http://dx.doi.org/10.1007/978-1-4939-9236-2_12 | DOI Listing |
Microbiol Spectr
January 2025
Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado, Aurora, Colorado, USA.
Unlabelled: Studies have suggested that phytochemicals in green tea have systemic anti-inflammatory and neuroprotective effects. However, the mechanisms behind these effects are poorly understood, possibly due to the differential metabolism of phytochemicals resulting from variations in gut microbiome composition. To unravel this complex relationship, our team utilized a novel combined microbiome analysis and metabolomics approach applied to low complexity microbiome (LCM) and human colonized (HU) gnotobiotic mice treated with an acute dose of powdered matcha green tea.
View Article and Find Full Text PDFEcotoxicology
January 2025
Laboratory of Ecology and Conservation, Faculty of Biology, Universitas Gadjah Mada, Sleman, Yogyakarta, Indonesia.
Many contaminants from scattered sources constantly endanger streams that flow through heavily inhabited areas, commercial districts, and industrial hubs. The responses of transplanted mussels in streams in active biomonitoring programs will reflect the dynamics of environmental stream conditions. This study evaluated the untargeted metabolomic and proteomic responses and free radical scavenging activities of transplanted mussels Sinanodonta woodiana in the Winongo Stream at three stations (S1, S2, S3) representing different pollution levels: low (S1), high (S2), and moderate (S3).
View Article and Find Full Text PDFVet Res Commun
January 2025
Laboratory of Veterinary Physiology, Department of Veterinary Medicine, Faculty of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-Cho, 183-8509, Fuchu, Tokyo, Japan.
This study investigated, for the first time, the alterations in the uterine echotexture and blood flow in cyclic and acyclic (inactive ovary) goats using ultrasonography. The study aimed also to evaluate the metabolomic changes in the plasma of cyclic and acyclic goats. Furthermore, the histopathological approach was applied to the specimens of the uterus to validate the findings of this study.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
Department of Pediatrics, Division of Blood and Marrow Transplantation, University of Minnesota, Minneapolis, MN, USA.
Background: Multiple sulfatase deficiency (MSD) is an exceptionally rare neurodegenerative disorder due to the absence or deficiency of 17 known cellular sulfatases. The activation of all these cellular sulfatases is dependent on the presence of the formylglycine-generating enzyme, which is encoded by the SUMF1 gene. Disease-causing homozygous or compound heterozygous variants in SUMF1 result in MSD.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Christian Doppler Laboratory for Innovative Gut Health Concepts of Livestock, Austria; BOKU University, Vienna, Dept. IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Tulln, Austria.
Background: Untargeted metabolomics requires robust and reliable strategies for data processing to extract relevant information form the underlying raw data. Multiple platforms for data processing are available, but the choice of software tool can have an impact on the analysis. This study provides a comprehensive evaluation of four workflows based on commonly used metabolomics software tools: XCMS, Compound Discoverer, MS-DIAL, and MZmine.
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