PerkinElmer and George Mason University Announce Alliance to Develop Novel Proteomic Technologies
Biomarker Identification for Early Cancer Detection
The alliance initially calls for the creation of a new proteomics technology to accurately measure and detect specific protein fragments found in human blood, which are potential biomarkers for disease. The alliance builds on a recent discovery by George Mason University researchers, Drs. Emanuel F. Petricoin and Lance A. Liotta, of an archive of protein fragments in human blood.
"This untapped archive of protein fragments from diverse tissue and cellular origins may offer vital disease-related information," theorized Liotta. "High-abundance proteins, such as albumin, found in blood serum appear to act as molecular magnets that mop up the fragments, and our work to date demonstrates that these fragments can be identified, measured and analyzed in the context of specific diseases, such as early stage ovarian cancer."
Petricoin explained that the alliance goes beyond the rigorous validation and discovery of new markers for cancer to a new and unprecedented paradigm for disease detection using a new type of biomarker. "The new concept - that disease detection lies in the information stored in fragments of proteins - requires both the precise mass and the amino acid sequence of the candidate biomarker," he said.
Other news from the department science
Get the life science industry in your inbox
By submitting this form you agree that LUMITOS AG will send you the newsletter(s) selected above by email. Your data will not be passed on to third parties. Your data will be stored and processed in accordance with our data protection regulations. LUMITOS may contact you by email for the purpose of advertising or market and opinion surveys. You can revoke your consent at any time without giving reasons to LUMITOS AG, Ernst-Augustin-Str. 2, 12489 Berlin, Germany or by e-mail at revoke@lumitos.com with effect for the future. In addition, each email contains a link to unsubscribe from the corresponding newsletter.