PubMed Health⌕ Search

Biomedical subjects

Chris Murray

Publications and source records attributed to Chris Murray.

6 recordsLinked to original sources

Myocardial subproteomic analysis of a constitutively active Rac1-expressing transgenic mouse with lethal myocardial hypertrophy.

A two-dimensional gel electrophoresis (2-DE)-based proteomic approach was used to study a transgenic mouse model of acerbated dilated cardiomyopathy in which the small monomeric GTPase, Rac1, was constitutively expressed exclusively in the myocardium. A subfractionation procedure allowed for the focused analysis of both cytoplasmic and myofilament protein-enriched extracts of ventricular tissue from Rac1 transgenic and age-matched nontransgenic (NTG) mice. The majority of these mice displayed severe hypertrophy (heart-to-body weight ratios >2-fold greater in the Rac1 mice) and died from overt heart failure between days 14 and 17. Comparative 2-DE analysis (pH 3-10, 12% SDS-PAGE) derived from Rac1 (n = 4) and NTG (n = 4) groups revealed differences in mean protein spot intensities. Twelve proteins from the cytoplasmic protein-enriched extract met our criteria for robustness and spot resolution and were identified. These proteins represent a broad distribution of cellular functions with only some previously implicated in myocardial hypertrophy. The myofilament subproteome displayed no change in posttranslational modification, but further analysis by one-dimensional Western blot showed increased quantities of myofilament proteins in the Rac1 mouse ventricles. Additionally, three proteins with different functionality that were altered in the cytoplasmic protein-enriched subproteome, tubulin beta-chain, manganese superoxide dismutase, and malate dehydrogenase, were analyzed at days 7, 9, and 11 to assess their role in the development of the dilated cardiomyopathic phenotype. The quantity of all three proteins peaked at day 9, suggesting an early response in cardiac hypertrophic failure.

Animals↗

A new test set for validating predictions of protein-ligand interaction.

We present a large test set of protein-ligand complexes for the purpose of validating algorithms that rely on the prediction of protein-ligand interactions. The set consists of 305 complexes with protonation states assigned by manual inspection. The following checks have been carried out to identify unsuitable entries in this set: (1) assessing the involvement of crystallographically related protein units in ligand binding; (2) identification of bad clashes between protein side chains and ligand; and (3) assessment of structural errors, and/or inconsistency of ligand placement with crystal structure electron density. In addition, the set has been pruned to assure diversity in terms of protein-ligand structures, and subsets are supplied for different protein-structure resolution ranges. A classification of the set by protein type is available. As an illustration, validation results are shown for GOLD and SuperStar. GOLD is a program that performs flexible protein-ligand docking, and SuperStar is used for the prediction of favorable interaction sites in proteins. The new CCDC/Astex test set is freely available to the scientific community (http://www.ccdc.cam.ac.uk).

Algorithms↗