Cellular metabolomics: From sample preparation to high-throughput data analysis
Cellular metabolomics, which involves targeted and untargeted analyses of metabolites in in vitro systems, plays a pivotal role in system biology. It offers insights into cell phenotypes and provides a means to monitor cellular activities.
Yang Zhao +4 more
doaj +1 more source
Integrative analysis of metabolomics and proteomics reveals amino acid metabolism disorder in sepsis
Background Sepsis is defined as a systemic inflammatory response to microbial infections with multiple organ dysfunction. This study analysed untargeted metabolomics combined with proteomics of serum from patients with sepsis to reveal the underlying ...
Qi Chen +15 more
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Untargeted Metabolomics Reveals Acylcarnitines as Major Metabolic Targets of Resveratrol in Breast Cancer Cells [PDF]
Background/Objectives: Millions of new diagnoses of breast cancer are made each year, with many cases having poor prognoses and limited treatment options, particularly for some subtypes such as triple-negative breast cancer.
Isabella G. Falcone, Blake R. Rushing
core +1 more source
Multiplatform untargeted metabolomics [PDF]
Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize a few hundred metabolites at best.
Powers, Robert, Jeppesen, Micah J.
core +1 more source
Separating the wheat from the chaff: a prioritisation pipeline for the analysis of metabolomics datasets [PDF]
Liquid Chromatography Mass Spectrometry (LC-MS) is a powerful and widely applied method for the study of biological systems, biomarker discovery and pharmacological interventions.
Andris Jankevics +21 more
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Insights from Metabolomics Profiling of MSUD in Pediatrics Toward Disease Progression
Background: Maple syrup urine disease (MSUD) is a genetic disorder caused by mutations in the branched-chain α-ketoacid dehydrogenase (BCKDH) complex, leading to toxic buildup of branched-chain amino acids (BCAAs) and their ketoacid derivatives.
Abeer Z. Alotaibi +11 more
doaj +1 more source
IDSL_MINT: a deep learning framework to predict molecular fingerprints from mass spectra
The majority of tandem mass spectrometry (MS/MS) spectra in untargeted metabolomics and exposomics studies lack any annotation. Our deep learning framework, Integrated Data Science Laboratory for Metabolomics and Exposomics—Mass INTerpreter (IDSL_MINT ...
Sadjad Fakouri Baygi +1 more
doaj +1 more source
GC×GC-MS and parallel 2DLC-MS based untargeted metabolomics. [PDF]
Untargeted metabolomics aims to analyze as many metabolites as possible in a biological system. Due to the vast complexity of the metabolome, bioanalytical platforms have been developed for untargeted metabolomics. While comprehensive two-dimensional gas
Prodhan, Md Aminul Islam
core +1 more source
Metabolic effects of an aspartate aminotransferase-inhibitor on two T-cell lines.
An emerging method to help elucidate the mode of action of experimental drugs is to use untargeted metabolomics of cell-systems. The interpretations of such screens are however complex and more examples with inhibitors of known targets are needed.
Henrik Antti, Magnus Sellstedt
doaj +1 more source
Filtering procedures for untargeted LC-MS metabolomics data
Background Untargeted metabolomics datasets contain large proportions of uninformative features that can impede subsequent statistical analysis such as biomarker discovery and metabolic pathway analysis.
Courtney Schiffman +9 more
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