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Antibody Microarrays - Articles and news items
In order to advance the identification of new drug targets and disease biomarkers, experimental tools for the systems-level analysis of signalling networks are required. Approaches for a targeted analysis of cellular proteomes have improved in recent years. Notably, the reverse phase protein microarray (RPPA) approach offers great advantages due to properties such as high sensitivity and high sample capacity. This review gives an overview of the principle of RPPA and summarises successful applications that illustrate the potential of RPPA for the analysis of clinical samples, systems biology and for drug discovery concepts. Numerous reports demonstrated the power of this approach to produce higher-order information than is currently possible with any other approach while requiring only minute amounts of sample.
Up-to-date, acquired experience on the application of targeted therapeutics revealed that patients benefit from drugs targeting molecules that are overexpressed by tumours. However, the percentage of patients truly benefiting from the targeted treatment depends largely on the type of tumour. In detail, clinical data obtained from the treatment of solid tumours suggests that our current knowledge is not sufficient to decide beforehand which patients will benefit from a certain treatment and which patients do not. This suggests that overexpression of a particular oncogenic protein by a tumour, such as EGFR, HER2, or oestrogen receptor, does not provide dependable information for treatment decisions. Considerable knowledge has been accumulated on the wiring of those pathways that convey information from cell surface receptors and neighbouring cells as well as the nutritional state and related physiological events. An obvious challenge for proteome research is to convert this knowledge into clinically and pharmaceutically relevant information. However, most drugs target proteins and therefore the realisation of personalised treatment concepts requires a systematic large-scale analysis of individual tumours to identify patterns of deregulation characteristic for subgroups of a certain type of cancer. The identification of reliable disease markers could then be translated into new treatment concepts which have been held back due to technological constraints.
Deciphering crude proteomes in the quest for candidate biomarker signatures for disease diagnostics, prognostics and classifications has proven to be challenging using conventional proteomic technologies. In this context, affinity protein microarrays, and in particular recombinant antibody microarrays, have recently been established as a promising approach within high-throughput (disease) proteomics1-3. The technology will provide miniaturised set-ups capable of profiling numerous protein analytes in a sensitive, selective and multiplexed manner.
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