Genedata Launches Expressionist with Expanded Mass Spectrometry Biomarker Discovery Capabilities

31 May 2009
Emily Marquez-Vega
Publishing / Media

Product news

Genedata, a leading provider of in silico solutions for pharmaceutical R&D and related life sciences, today announced the release of Expressionist 5.2 with enhanced capabilities for Mass Spectrometry (MS)-based biomarker discovery.

Included in the Expressionist system are the advanced Refiner MS and Analyst modules, which process and analyze metabolomic and proteomic raw MS data and provide sophisticated statistical analysis capabilities for large volume data sets. Expressionist 5.2 will be demonstrated at the 57th ASMS Conference on Mass Spectrometry, May 31 – June 4, 2009, Booth 133 at the Pennsylvania Convention Center.

“Genedata’s continued investment in Expressionist is invaluable and the new Expressionist system will drastically change the ways in which we are able to probe experimental systems,” commented Professor James Mobley, director of the Comprehensive Cancer Center Proteomics Facility at the University of Alabama. ”Expressionist enables us to better understand underlying biological mechanisms and the support for labeled MS data allows us to address an ever-larger array of experimental protocols.”

In addition to supporting ABI Wiff files, version 5.2 of Refiner MS adds Thermo Exactive and GC-MS as well as Agilent Q-TOF and GC-MS instruments to the wide list of already supported hardware platforms and vendor formats. Building on a powerful technology hub concept for raw MS data processing, peak identification and annotation tools in Expressionist have been enhanced to offer direct links to search engines and databases such as MASCOT or HMDB. Additionally, improved library searches are possible via the computation of retention-time indices.

“The release of Expressionist 5.2 underscores our continued commitment to support all types of omics technologies. In particular we are proud to provide innovative software for high throughput peak processing and identification for large MS datasets at a time when this type of data has become more and more standard in proteomics and metabolomics projects,” said Dr. Othmar Pfannes, CEO of Genedata. Expressionist features support for labelled workflows using Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) and Multiple Reaction Monitoring (MRM) targeted analysis. Usability improvements include blank chromatogram subtraction and spectrum peak clustering.

"We are delighted by the market acceptance of our MS offering for proteomics and metabolomics in pharmaceutical, biotechnology, agricultural and academic as well as government R&D projects,” Dr. Pfannes continued.“I am proud of our team’s ability to quickly provide solutions for a wide variety of requests for standardization and automation of MS data analysis processes.”

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.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 Launches Expressionist with Expanded Mass Spectrometry Biomarker Discovery Capabilities