Quantitative proteogenomics of human pathogens using DIA-MS

Quantitative profiling of endocannabinoids and related N-acylethanolamines in human CSF using nano LC-MS/MS.

Endocannabinoids, a class of lipid messengers, have emerged as crucial regulators of synaptic communication in the CNS. Dysregulation of these compounds has been implicated in many brain disorders. Although some studies have identified and quantified a limited number of target compounds, a method that provides comprehensive quantitative information on endocannabinoids and related N-acylethanola...

Quantitative Approach to Glucocorticosteroids Analysis in Human Urine using LC-MS/MS

Glicocorticosteroides estão incluídos na lista de substâncias proibidas da Agência Mundial Antidoping como analitos que dispensam quantificação. Entretanto, abordagens semiquantitativas são necessárias antes de relatar um resultado analítico adverso para essa classe de substâncias. Cromatografia líquida acoplada à espectrometria de massa (LC-MS) tem sido empregada com excelente seletividade e e...

Characterizing Cardiac Molecular Mechanisms of Mammalian Hibernation via Quantitative Proteogenomics.

This study uses advanced proteogenomic approaches in a nonmodel organism to elucidate cardioprotective mechanisms used during mammalian hibernation. Mammalian hibernation is characterized by drastic reductions in body temperature, heart rate, metabolism, and oxygen consumption. These changes pose significant challenges to the physiology of hibernators, especially for the heart, which maintains ...

Label-Free Quantitative Analysis Using LC/MS

DIA: Data Integration Using Agents

The classic problem of information integration has been addressed for a long time. The Semantic Web project is aiming to define an infrastructure that enables machine understanding. This is a vision that tackles the problem of semantic heterogeneity by using ontologies for information sharing. Agents have an important role in this infrastructure. In this paper we present a new solution, known a...