The $1.85 billion Waters Corporation and Nonlinear Dynamics have entered into an agreement to co-develop a new analytical solution that derives information from complex data sets generated by large-scale proteomics and metabolomics experiments.
Waters and Nonlinear Dynamics collaborated on the development of the Waters Omics Research Platform with TransOmics Informatics first introduced in May during the ASMS Conference on Mass Spectrometry and Allied Topics in Vancouver combining both Waters SYNAPT G2-S HDMS and TransOmics Informatics developed by Nonlinear Dynamics’ under an exclusive worldwide OEM agreement.
Founded in 1989 by Will Dracup, Nonlinear Dynamics developed the Progenesis data analysis software range which is innovative, ground-breaking and above all it helps to solve the challenges faced by proteomics and metabolomics researchers today. The fundamental analysis concepts developed by Nonlinear for the Progenesis software range help scientists visualise their complex data and generate reliable conclusions that are reproducible across labs. The approach has been applied to LC-MS and 2D gel electrophoresis data analysis. Nonlinear sells and supports its products through its UK headquarters and its US office, as well as a global network of partners.
With the launch of Waters Omics Research Platform, Waters introduced two new solutions powered by Waters TransOmics Informatics:
Proteomics solution combining Waters nanoACQUITY UPLC and Waters SYNAPT G2-S HDMS mass spectrometer for the bottom-up analysis of complex mixtures.
Metabolomics solution built around the Waters ACQUITY UPLC I-Class and Waters SYNAPT G2-S HDMS mass spectrometer for routine screening of large sample cohorts.
Waters first introduced ion mobility to mass spectrometry with the introduction of the SYNAPT High Definition Mass Spectrometer (HDMS) in 2007.
Used in small molecule research, protein characterisation, metabolite identification and bio-pharmaceutical applications, the Synapt HDMS system is still the only mass spectrometer to employ high efficiency ion-mobility based measurements and separations to enable the analysis of sample ions differentiated by size, shape and charge as well as mass. The added dimension of shape-selective separation increases the analytical specificity and sample definition so that scientists can extract more information from their samples, including the detection of components previously unseen by conventional mass spectrometers.
“The complexity of biological samples is so great that the sensitivity and specificity of analytical techniques required for biological discovery presents scientists with significant challenges when it comes to managing experimental data,” said James Langridge, Director of Pharmaceutical and Life Sciences Discovery, Waters Division. “We believe that through our partnership with Nonlinear Dynamics we can address this situation and advance the pace of discovery.”
“I’m delighted to see this exciting partnership bring together the latest MS technology with world-renowned data analysis software,” said Will Dracup, Executive Chairman, Nonlinear Dynamics. “Researchers today are faced with large, complex data sets and they need to be able to visualise this and extract reliable results. The software Nonlinear has developed specifically addresses these issues, unlocking the potential of the valuable, content-rich, omics data that Waters’ ion mobility technology generates.” A common goal of any omics studies—whether proteomics or metabolomics—is to gain a clear understanding of the interplay between molecules at the protein and metabolite level leading to a better understanding of the underlying biology of an organism or a specific disease state. The Waters Omics Research Platform Solution facilitates research across multiple discovery areas for researchers in the pharmaceutical and life sciences, food, and clinical research areas. Waters intends to commence shipments of its UPLC/SYNAPT G2-S HDMS-based instrument solutions with TransOmics Informatics announced at ASMS during the fourth quarter of 2012.
EP News Bureau
- Advertisement -
