News | January 16, 2012 - 1:30 AM EST | |
Medicago and Cellectis Enter into Research Agreement to Improve Therapeutic Proteins Using Nuclease Technology
QUEBEC CITY, QC and SAINT PAUL, MN, Jan. 16, 2012 /CNW/ - Medicago Inc. (MDG: TSX), a biotechnology company focused on developing highly effective and competitive vaccines based on proprietary manufacturing technologies and Virus Like Particles, and Cellectis plant sciences, a subsidiary of Cellectis SA (Alternext: ALCLS), the French specialist in genome engineering, today announced the signing of a research agreement under which Medicago and Cellectis will collaborate to improve therapeutic proteins expressed from tobacco leaves.
"We look forward to working with Cellectis plant sciences to assess their nuclease technology for use in our ongoing work to develop biosimilar products," said Dr. Louis-Philippe Vezina, Chief Scientific Officer of Medicago. "This tool has the potential to hasten the expansion of our platform towards the production of a wider range of therapeutic proteins including biosimilars, and complement our existing tools for the control of protein glycosylation."
Luc Mathis, CEO of Cellectis plant sciences commented, "I am very proud to see the Cellectis technology being applied for use in plants to produce potential products for human health benefit, and expect that we will see additional opportunities for our technology in the near future."
Cellectis manufactures DNA scissors called nucleases that can cut precise DNA sequences allowing for the creation of a wide range of specific tools to modify a target gene. Cellectis' innovative nucleases have the potential to enable the modification of protein glycosylation patterns in plants with unprecedented control and uniformity, allowing for increased efficacy of therapeutic products. Using nucleases, it is possible to generate a large array of specific glycoprotein variants, and select the best candidate with the optimal glycosylation and produce it at large scale using Medicago's plant-based manufacturing technology. This approach may be applied to optimize efficacy and other protein characteristics such as solubility, therapeutic half-life, tissue distribution and interaction with complement proteins.