Genes are pleiotropic and getting a better knowledge of their function requires a comprehensive characterization of their mutants. Here, we generated multi-level data combining phenomic, proteomic and metabolomic acquisitions from plasma and liver tissues of two C57BL/6 N mouse models lacking the...
Liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technology in metabolomics. In particular, label-free quantification based on LC-MS is easily amenable to large-scale studies and thus well suited to clinical metabolomics. Large-scale studies, however, require autom...
Metabolomics enables the comprehensive profiling of low–molecular weight metabolites that reflect the interplay between environmental exposures and endogenous biological processes. As the downstream output of genomic, transcriptomic, proteomic, and epigenomic networks, the metabolome provides the...
Optimal handling is the most important means to ensure adequate sample quality. We aimed to investigate whether pre-centrifugation delay time and temperature could be accurately predicted and to what extent variability induced by pre-centrifugation management can be adjusted for. We used untarget...
BACKGROUND AND AIMS: Atherosclerosis, characterized by dysfunction of lipid metabolism and chronic inflammation, is considered as a metabolic disorder as well as a major contributor to cardiovascular diseases. However, metabolic signatures of atherosclerosis have not been well ex...
INTRODUCTION: COVID-19 has become a global impediment by bringing everything to a halt starting from January 2020. India underwent the lockdown starting from 22nd March 2020 with the sudden spike in the number of COVID-19 patients in major cities and states. This study focus...