Recent advances in genomic and proteomic technologies have begun to address the challenge of assigning molecular and cellular functions to the numerous protein products encoded by prokaryotic and eukaryotic genomes. In particular, chemical strategies for proteome analysis have emerged that enable profiling of protein activity on a global scale. Herein, we highlight these chemical proteomic meth...

We describe a general strategy for selective chemical labeling of individual adenylation (A) domains in nonribosomal peptide synthetases (NRPSs) using active site-directed proteomic probes coupled to the 5'-O-N-(aminoacyl)sulfamoyladenosine (AMS) scaffold with a clickable benzophenone functionality. These proteomic tools can greatly facilitate the molecular identification, functional characteri...

We propose a method for discrimination and classification of ovarian with benign, malignant and normal tissue using independent component analysis and neural networks. The method was tested for a proteomic patters set from A database, and radial basis functions neural networks. The best performance was obtained with probabilistic neural networks, resulting I 99% success rate, with 98% of specif...

The ability of physicians to effectively treat and cure cancer is directly dependent on their ability to detect cancers at their earliest stages. Proteomic analyses of early-stage cancers have provided new insights into the changes that occur in the early phases of tumorigenesis and represent a new resource of candidate biomarkers for early-stage disease. Studies that profile proteomic patterns...

INTRODUCTION Proteomic techniques offer insights into the molecular perturbations occurring in muscular-dystrophies (MD). Revisiting published datasets can highlight conserved downstream molecular alterations, which may be worth re-assessing to determine whether their experimental manipulation is capable of modulating disease severity. AREAS COVERED Here, we review the MD literature, highligh...

A significant gap exists between genetics-based investigations of polyketide synthase (PKS) and nonribosomal peptide synthetase (NRPS) biosynthetic pathways and our understanding of their regulation, interaction, and activity in living systems. To help bridge this gap, here we present an orthogonal active site identification system (OASIS) for the proteomic identification and analysis of PKS/NR...

Proteomic approaches are continuing to make headways in cancer research by helping to elucidate complex signaling networks that underlie tumorigenesis and disease progression. This review describes recent advances made in the proteomic discovery of drug targets for therapeutic development. A variety of technical and methodological advances are overviewed with a critical assessment of challenges...

Identifying cancer molecular patterns with high accuracy from high-dimensional proteomic pro les presents a challenge for statistical learning and oncology research. In this study, we develop a nonnegative principal component analysis and propose a nonnegative principal component analysis based support vector machine with a sparse coding to conduct e ective feature selection and high-performanc...

Nucleolus is the most prominent subnuclear structure, which performs a wide variety of functions in the eukaryotic cellular processes. In order to understand the structural and functional role of the nucleoli in bovine cells, we analyzed the proteomic composition of the bovine nucleoli. The nucleoli were isolated from Madin Darby bovine kidney cells and subjected to proteomic analysis by LC-MS/...

The human vitreous humour (VH) is a transparent, highly hydrated gel, which occupies the posterior segment of the eye between the lens and the retina. Physiological and pathological conditions of the retina are reflected in the protein composition of the VH, which can be sampled as part of routine surgical procedures. Historically, many studies have investigated levels of individual proteins in...