UCD Conway Institute of Biomolecular and Biomedical Research (Dublin, Republic of Ireland) has chosen to invest in Nonlinear's revolutionary new approach to 2D-gel proteomics analysis
Under the terms of the agreement, the Conway Institute has purchased multiple licenses of Progenesis PG240 with SameSpots enabled by TT900 S2S.
Financial terms were not disclosed.
These products provide a brand new approach to 2D image analysis delivering highly accurate results with 100% matching and no missing values within the data.
This represents a quantum leap in the quality and reliability of results that can be obtained using 2D-gel based proteomics research.
For the first time users can achieve robust statistical confidence and run experiments with significant numbers of replicates.
Michael Dunn, professor of biomedical proteomics for the UCD Conway Institute and president of the British Society of Proteome Research (BSPR), said: "With this new technology we are redefining the potential of our 2D proteomics research".
"The ability to generate a completely matched experiment provides us with far more statistically robust data".
"This has a direct impact on data quality and confidence in results." Professor Steve Pennington of the UCD Conway Institute and vice president of the British Society of Proteome Research (BSPR), added: "By adopting these new image analysis technologies, our rate of discovery using 2D electrophoresis stands to be significantly enhanced".
"An additional benefit is that this new approach to 2D image analysis can be easily incorporated into our existing workflow." John Spreadbury, group sales and marketing director of Nonlinear Dynamics and CEO, Nonlinear USA, said: "Scientific interest in the new TT900 S2S incorporating SameSpots software as part of a complete proteomics image analysis solution continues to grow rapidly and we are delighted to have welcomed numerous high profile early adopters such as the Conway Institute".
"The ability of this new approach to instantly enhance any 2D image analysis workflow is proving immensely popular and we are pleased to see its positive impact on research programmes across the proteomics community."
