New insights into functional regulation in MS-based drug profiling

We present a novel data analysis strategy which combined with subcellular fractionation and liquid chromatography-mass spectrometry (LC-MS) based proteomics provides a simple and effective workflow for global drug profiling. Five subcellular fractions were obtained by differential centrifugation followed by high resolution LC-MS and complete functional regulation analysis. The methodology combines functional regulation and enrichment analysis into a single visual summary. The workflow enables improved insight into perturbations caused by drugs. We provide a statistical argument to demonstrate that even crude subcellular fractions leads to improved functional characterization. We demonstrate this data analysis strategy on data obtained in a MS-based global drug profiling study. However, this strategy can also be performed on other types of large scale biological data.

Functionally characterization of the most common LDLR missense alterations found in Portuguese FH patients

Aims: Mutations in the LDLR gene are the major cause of familial hypercholesterolaemia (FH), which results in defective catabolism of LDL leading to premature coronary heart disease. Presently, more than 1700 different mutations in the LDLR gene have been described as causing FH but the majority of them remain without functional characterization. In the Portuguese Familial Hypercholesterolemia Study (PFHS), 123 LDLR alterations were found in 243 index patients and their relatives up to date. Until now, 70 of these alterations already have a final classification of pathogenic and 15 have been proved by in vitro studies to be non-pathogenic. The aim of the present work is to functionally characterize 16 LDLR missense alterations found in Portuguese FH patients and worldwide.