Cristina Di Poto

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MOTIVATION Liquid chromatography-mass spectrometry (LC-MS) has been widely used for profiling expression levels of biomolecules in various '-omic' studies including proteomics, metabolomics and glycomics. Appropriate LC-MS data preprocessing steps are needed to detect true differences between biological groups. Retention time (RT) alignment, which is(More)
Markers of oxidative and nitrosative stress have been found in spinal cord, cortex, cerebrospinal fluid and plasma of patients affected by amyotrophic lateral sclerosis (ALS), a fatal disorder characterised by progressive motor neuron degeneration. In this study, we investigated the effect of the NO-releasing agent, diethylamine NONOate (NONO), on(More)
Gas chromatography coupled with mass spectrometry (GC-MS) is one of the technologies widely used for qualitative and quantitative analysis of small molecules. In particular, GC coupled to single quadrupole MS can be utilized for targeted analysis by selected ion monitoring (SIM). However, to our knowledge, there are no software tools specifically designed(More)
Multi-omic approaches offer the opportunity to characterize complex diseases such as cancer at various molecular levels. In this paper, we present transcriptomic, proteomic/glycoproteomic, glycomic, and metabolomic (TPGM) data we acquired by analysis of liver tissues from hepatocellular carcinoma (HCC) cases and patients with liver cirrhosis. We evaluated(More)
In quantitative liquid chromatography-mass spectrometry (LC- MS) experiments, variability assessment helps improve experimental design and detect true differences in ion abundance. A peak-level mixed effects model is considered to estimate the variability due to heterogeneity of the biological samples, inconsistency in sample preparation, and instrument(More)
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