Genedata Joins Japanese Research Initiative for Metastatic Biomarkers

13 Nov 2007

Product news

Swiss-based research informatics provider Genedata today announced its collaboration with Tokyo Medical University, AMR Inc., and Leica Microsystems in a proteomics research initiative aiming at the identification of metastatic biomarkers for the discovery and validation of new protein drug targets.

In the project, proteins extracted from lung and endocrine carcinoma FFPE tissue collections are analyzed using state-of-the-art MS-based proteomic methodologies. Formalin-fixed and paraffin-embedded (FFPE) tissue samples have been extensively collected and annotated in hospitals around the globe, representing an invaluable resource to study the progression of diseases in detail.

For the downstream molecular analysis, Genedata provides Expressionist, its modular enterprise system for biomarker discovery, along with comprehensive professional services. The high-throughput capabilities for quality assessment, pre-processing and integrated analysis make Genedata Expressionist a superior choice to handle the breadth and complexity of the mass-spectrometry based proteomics data, leading to the detection of molecular effects and interactions that would have otherwise gone unnoticed.

Professor Toshihide Nishimura, Department of Surgery, Tokyo Medical University, and Senior Advisor, Expression Pathology Inc. (USA), said: “Genedata`s support for our proteomics ‘star alliance’ is proving to be of outstanding value. Genedata Expressionist, as a capable high-throughput solution for proteomics analysis, is the key to unlocking a treasure chest of clinical samples for metastatic biomarker research that were intractable before.”

“We are very pleased with our unique contribution,” said Dr. Frank Staubli, Representative Director of Genedata KK in Japan. “MS-based retrospective proteomics represents an opportunity as well as a challenge for an integrated data processing and analysis system. Genedata Expressionist`s performance exceeds our expectations, and shows great potential for the scope of the collaboration.”

Links

Tags

Mass SpectrometryMass spectrometry (MS) is a powerful analytical technique used to identify and quantify molecules based on the mass-to-charge ratio of gas-phase ions. It provides detailed information about the structure, composition, and properties of compounds and is widely used across fields such as environmental monitoring, materials science, drug discovery and development, food and beverage testing, and wider chemical research. Key MS techniques include tandem mass spectrometry (MS/MS), liquid chromatography–mass spectrometry (LS-MS) and inductively coupled plasma (ICP-MS). Choosing from these wide range of techniques and technologies can be a daunting task, so keep up to date with scientific applications, performance expectations, and customer reviews here all in one place. Visit our product directory to receive quotes direct from the manufacturer. ProteomicsProteomics is the systemic bioinformatics study of proteins and amino acids, including their structure, size, function and identification. Tools used in proteomics include chromatography, blotting and gels, protein arrays, mass spectrometry and ELISA and associated analysis software. Analyzers and proteomic systems should be sensitive, high resolution, fast and may be automated for high-throughput.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.BiomarkersBiomarkers are biological markers which can be measured and evaluated to indicate a biological state. The use of biomarkers in research and diagnosis can indicate a normal or disease state or drug response of cells / tissues. Biomarkers include genetic markers, cell surface markers such as antigens, antibodies or receptors and secreted molecules such as cytokines. An assay system is required for identification of biomarkers. :
Genedata Joins Japanese Research Initiative for Metastatic Biomarkers