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MetabolomicsTargeted lipidomics in Alexander's disease cellular models
High-throughput targeted lipidomic data obtained from biological replicates (n=12) of four cellular models of Alexander disease using U-87 MG non-transfected and GFP-GFAP expressing cells (WT, R239C, R239G, R79C, and E373K variants).
2026-09-28 | MTBLS15503 | MetaboLights
MetabolomicsComparative Analysis of Host Metabolic Alterations in Murine Malaria Models with Uncomplicated or Severe Malaria

Malaria varies in severity, with complications ranging from uncomplicated to severe malaria. Severe malaria could be attributed to peripheral hyperparasitemia or cerebral malaria. The metabolic interactions between the host and Plasmodium species are yet to be understood during these inf...

2022-09-14 | MTBLS4387 | MetaboLights
Metabolomics1H NMR chemometric models for classification of Czech wine type and variety

A set of 917 wines of Czech origin registered in a national competition were analysed using nuclear magnetic resonance spectroscopy (NMR) with the aim to build and evaluate multivariate statistical models and machine learning methods for the classification of type (5 types), variety (13 varieties...

2020-08-28 | MTBLS1677 | MetaboLights
MetabolomicsTranscriptional Shift and Metabolic Adaptations during Leishmania Quiescence Using Stationary Phase and Drug Pressure as Models

Microorganisms can adopt a quiescent physiological condition which acts as a survival strategy under unfavourable conditions. Quiescent cells are characterized by slow or non-proliferation and deep down-regulation of processes related to biosynthesis. Although quiescence has been described mostly...

2022-02-23 | MTBLS4046 | MetaboLights
MetabolomicsTargeted metabolomic profiling and machine learning-based prediction models for persistent atrial fibrillation: a multi-center observational study

Background. Atrial fibrillation (AF), the most common cardiac arrhythmia worldwide, carries a high risk of severe complications. Patients diagnosed with paroxysmal atrial fibrillation (PAF) may progress to persistent atrial fibrillation (PerAF) following a period. We aimed to identify metabo...

2026-07-03 | MTBLS13136 | MetaboLights
MetabolomicsPeripheral modulation of antidepressant targets MAO-B and GABAAR by harmol induces mitohormesis and delays aging in preclinical models
Reversible and sub-lethal stresses to the mitochondria elicit a program of compensatory responses that ultimately improve mitochondrial function, a conserved anti-aging mechanism termed mitohormesis. Here, we show that harmol, a member of the beta-carbolines family with anti-depressant properties, i...
2023-05-26 | MTBLS7533 | MetaboLights
MetabolomicsMetabolic signatures and diagnostic models of ischemic stroke and its hypertensive subtype:a non-targeted metabolomics and machine learning
Ischemic stroke (IS) is a leading cause of death and disability worldwide, yet reliable early diagnostic biomarkers remain lacking. This study employed non-targeted metabolomics and machine learning to characterize metabolic profiles and identify diagnostic biomarkers for IS.
2026-09-17 | MTBLS15660 | MetaboLights
ProteomicsStatistical models for the analysis of isobaric Tags multiplexed quantitative proteomics
ABSTRACT: Mass spectrometry is being used to identify protein biomarkers that can facilitate development of drug treatment. Mass spectrometry based proteomics results in complex proteomic data that is hierarchical in nature often with small sample size studies. Generalized linear models (GLM) is th...
ORGANISM(S): Homo sapiens (Human) Escherichia coli 
2017-07-28 | PXD005486 | Pride
Statistical models : proteomics Tmt Mixed models Biomarkers 
ModelsO'Donovan2022 - the Mixed Meal Model
The Mixed Meal Model is a physiology based mathematical model describing the post-meal interplay between glucose, insulin, triglycerides and non-esterified fatty acids (NEFA).The Mixed Meal Model can be fit to meal response data by estimating nine model parameters from measured plasma glucose, insul...
2022-12-31 | MODEL2212300001 | BioModels
ModelsFrançois2005 - Mixed Feedback Loop (two-gene network)
Paul François & Vincent Hakim. Core genetic module: the mixed feedback loop. Physical Review E 72, 3 Pt 1 (2005). The so-called mixed feedback loop (MFL) is a small two-gene network where protein A regulates the transcription of protein B and the two proteins form a heterodimer. It has been found t...
2024-09-02 | BIOMD0000000539 | BioModels
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