SCIEX, a global leader in life science analytical technologies, today announced a Co-marketing agreement with Elucidata, a disruptive integrated Omics platform company providing tools for metabolomics data processing.
This relationship will uniquely position SCIEX to address the major challenges faced by scientific researchers and allow them to efficiently process all their metabolomics data from a diverse range of workflows. It also allows scientists to interpret these results in a biological context to further advance the fields of target identification and validation, as well as deeply characterize the underlying biology.
Under this Agreement, Elucidata and SCIEX will promote Elucidata's integrated Omics platform, called Polly, in conjunction with SCIEX technologies, including TripleTOF, X500R, and QTRAP, as well as Differential Ion Mobility technology.
Polly is an end-to-end, vendor-neutral, integrated omics platform that standardizes and streamlines metabolomics data analysis workflows, as well as integrates various other forms of omics data, to better understand cellular phenotype.
In addition to hosting and maintaining its proprietary workflows on a single cloud-based environment, Elucidata allows for its customers to post their own bespoke applications on Polly, freeing up scientists' time to focus their efforts on higher value activities. The result is an environment supporting customized omics processing pipelines, comprehensive bioinformatics analysis capabilities, real-time scientific collaboration, and project management.
Polly MetScape, a global metabolomics profiling data analysis workflow, is compatible with data acquired in SWATH(r) Acqusition mode, a data-independent acquisition (DIA) workflow that is now increasingly employed in untargeted metabolomics workflows. SWATH(r) Acquisition allows users to collect MS and MS/MS of every detectable peak in their sample, thus creating a digital map of the metabolome.
The PollyPhi Workflow enables hypothesis validation, allowing scientists to go from pathways to highlighting changes in enzyme function by analyzing flow of labels through metabolites to validate hypotheses. Scientists can find relative and kinetic flux from targeted and untargeted metabolomic data, acquired from MS and MS/MS methods, and using liquid and gaseous chromatographic methods.
"Manual mass spectroscopic flux analysis, and especially MS/MS analysis for our MIMOSA workflows, is incredibly time and thought demanding, is prone to user errors, and limits our output", said Dr Richard Kibbey, Associate Professor of Medicine at Yale Medical School.
"PollyPhi provides a soup to nuts analysis of our Differential Ion Mobility MS/MS data that greatly accelerates this process, freeing the bright minds and hands for more appropriate tasks. We use PollyPhi for analysis of data generated from our Sciex QTRAP 5500 and TripleTOF 6600 instruments. It has transformed my lab", he added.
"Improving the efficiency of metabolomics workflows is critical if academic researchers and pharma customers want to advance precision medicine", said Mark Cafazzo, Director of Strategic Market Management at SCIEX.
"The use of Polly with SCIEX's metabolomics workflows accelerates their capabilities and empowers them with spending more time on the biology than crunching data through fragmented software tools. By partnering with Elucidata and applying Polly to SCIEX next-generation metabolomics solutions, we help scientists address the challenges they face every day", he added.
"We are very pleased to be working with SCIEX to provide scientists with effective solutions for metabolomics analysis", said Dr Abhishek Jha, CEO of Elucidata.
"The combined capabilities of our two companies will enable scientists to extract superior biological insights from raw metabolomics data generated from various workflows", he concluded.
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