Search

Phage surface display of cDNA libraries facilitates cloning, expression and rapid selection of functional gene products physically linked to their genetic information through gene product-ligand interactions. Efficient screening technologies based on selective enrichment of clones expressing desired gene products allows, within a short time, the isolation of all ligand-specific clones that are present in a library. Manual identification of clones by restriction analysis and random sequencing is unlike to be successful for the isolation of gene products derived from rare mRNA species resulting from selection of the libraries using polyvalent ligands like serum from patients. Here we describe rapid handling of large numbers of individual clones selected from molecular libraries displayed on phage surface using the power of robotics-based high throughput screening. The potential of the combination of cDNA-phage surface display, with selection for specific interactions by functional screening and robotic technology is illustrated by the isolation of more sequences potentially encoding IgE-binding proteins than postulated from Western blot analyses using extracts derived from raw material of complex allergenic sources. The subsequent application of functional enrichment and robotics-based screening will facilitate the rapid generation of information about the repertoire of protein structures involved in allergic diseases.

This report will provide a brief overview of the application of data mining in proteomic peptide profiling used for medical biomarker research. Mass spectrometry based profiling of peptides and proteins is frequently used to distinguish disease from non-disease groups and to monitor and predict drug effects. It has the promising potential to enter clinical laboratories as a general purpose diagnostic tool. Data mining methodologies support biomedical science to manage the vast data sets obtained from these instrumentations. Here we will review the typical workflow of peptide profiling, together with typical data mining methodology. Mass spectrometric experiments in peptidomics raise numerous questions in the fields of signal processing, statistics, experimental design and discriminant analysis.