Thermo Fisher Scientific and Genedata Join Forces to Accelerate Mass Spectrometry-Based Metabolomics Research

13 Jul 2008
Greg Smith
Analyst / Analytical Chemist

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Thermo Fisher Scientific Inc., the world leader in serving science, and Genedata, the leading provider of in silico solutions for the pharmaceutical and life sciences industries, today announced the integration of Thermo Scientific mass spectrometry (MS) instrumentation and Genedata Expressionist® to efficiently process and analyze large volumes of high-quality MS data, enabling researchers to process hundreds of gigabytes of data simultaneously.

This capability is particularly beneficial for metabolomics researchers who need to classify samples and identify metabolic profiles related to important biological phenotypes. Genedata Expressionist performs high-throughput processing and automated quality analysis of MS-based metabolomics and proteomics data, enabling researchers to process hundreds of gigabytes of data simultaneously. Genedata Expressionist also includes a sophisticated statistical analysis platform that allows for data comparison. This integrated approach helps researchers to understand the action of all biological molecules in a single, comprehensive system.

Combining Thermo Scientific MS systems with Genedata software solutions, small molecule biomarker detection can be enhanced with an "end-to-end" system that encompasses complete scientific workflows. Dr. Rohan Thakur, director of marketing, small molecule solutions, life sciences mass spectrometry, Thermo Fisher Scientific, explains, “Thermo Scientific instrumentation is ideally suited for metabolomics applications. The unmatched data quality resulting from high-resolution and accurate mass, coupled with the data processing power of Genedata Expressionist, will serve to simplify the search for answers in a fundamentally complex experiment. We believe this powerful combination of hardware and software will enable metabolomics researchers to solve problems faster.”

“Thermo Fisher is a globally recognized leader in mass spectrometry,” said Dr. Othmar Pfannes, CEO of Genedata. “We at Genedata are delighted at the opportunity to help scientists with the challenging process of biomarker discovery and development. Genedata Expressionist enables the simultaneous analysis of large volumes of samples and massive amounts of data, in the hundreds of gigabytes range. The system is metabolomics-ready and scalable, efficiently managing both raw data and extracted peaks. Strong support services and customization to in-house setups round off our MS-based solution.”

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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.Molecular Recognition SoftwareMolecular recognition software is widely used to analyze DNA, RNA, proteins and chemicals. The software can be useful for graphical viewing, comparative analyses, high-throughput screening, genomics, proteomics and phylogenetics. Molecular recognition software uses bioinformatics tools and analyses such as BLAST searches and generates structural predictions, 3D structures and sequencing information.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. :Biopharmaceutical AdvancesBiopharmaceutical advances follow the development of pharmaceuticals derived from biotechnology, also known as biotechnology medicines. Biopharmaceuticals may be produced from cell lines, plants, or microbial cells. Important considerations of biopharmaceutical use include application, cost, production process and purification.
Thermo Fisher Scientific and Genedata Join Forces to Accelerate Mass Spectrometry-Based Metabolomics Research