Thermo Fisher Scientific and George Mason University Partner in Protein Biomarker Research Project
Collaboration Aims to Accelerate Verification and Validation of Protein Biomarkers for Earlier Disease Diagnosis and Therapeutic Efficacy
Thermo Fisher Scientific Inc. announced an alliance between its Biomarker Research Initiatives in mass spectrometry (BRIMS) Center and George Mason University's Center for Applied proteomics and Molecular medicine (CAPMM) to accelerate biomarker validation and forge new breakthroughs in early disease diagnosis.
A key challenge in biomarker research has been independent validation of experimental results, critical to acceptance of findings across the research community. The alliance between Thermo Fisher and CAPMM will overcome this challenge by creating a unique "cross-validation" workflow between the BRIMS and the George Mason University laboratory to provide fast biomarker validation. Both labs will use identical Thermo Scientific Quantum(TM) Ultra triple quadrupole mass spectrometers to analyze assays. After a newly discovered biomarker has been validated in the CAPMM lab, it will be sent to the BRIMS lab in Boston for independent validation, increasing confidence in the results for the scientific community.
"This pioneering work holds promise to break down longstanding barriers in protein biomarker research, and we're pleased that our technology and expertise are making it possible," said Marc N. Casper, chief operating officer of Thermo Fisher Scientific. "Our central mission at the BRIMS Center is to enable and support innovative projects that pave new ground in science, and this partnership perfectly aligns with that goal."
Drs. Lance Liotta, Emanuel Petricoin and Mark Ross will lead the project in the University's unique laboratory, which is certified by the Clinical Laboratory Improvement Amendments (CLIA), accredited by the College of American Pathologists (CAP) and outfitted with Thermo Scientific mass spectrometry technology. Working collaboratively, the research team will cull through cancer biomarker candidates and validate those with the greatest promise in a diagnostic setting.
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