Thompson, Roisin, O'Connor, Brendan ORCID: 0000-0002-8999-5184, O'Connell, Michael ORCID: 0000-0002-6857-1614 and Clarke, Paul A. (2012) Recombinant prokaryotic lectins : enhanced tools for glycoprotein analysis and purification. In: Glycosciences Ireland, Oct 2012, NUIG, Galway, Ireland.
Abstract
More than 50% of proteins are glycosylated and glycans are known to mediate a wide range of biological processes. With this knowledge, there has been an explosion of interest in the field of glycoproteomics. There is a need for tools that enable efficient isolation of glycoproteins from biological samples, where they are usually only present at low levels, to enable their identification and analysis. Changes in glycosylation ptterns of biomolecules and cells are also associated with many diseases such as cancer and rheumatoid arthritis. Tools capable of sensitive detection of such changes would have significant potential in the field of diagnosics. In addition, many biopharmaceuticals are glycosylated and the glycosylation impacts their clinical properties. The industry needs tools for sensitive product analysis and selective purification of op/mally glycosylated product to meet regulatory requirements and to bring safer, more effective ,products to patents.
Recombinant Prokaryotic Lectins (RPL’s) offer new opportunities to develop enhanced glycoselective tools for glycoprotein analysis and purification and to overcome the limitations that have restricted the applications of plant lectins.
Metadata
Item Type: | Conference or Workshop Item (Poster) |
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Event Type: | Conference |
Refereed: | Yes |
Subjects: | Biological Sciences > Biotechnology Physical Sciences > Analytical chemistry Biological Sciences > Biochemistry Biological Sciences > Molecular biology |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Biotechnology Research Initiatives and Centres > Irish Separation Science Cluster (ISSC) |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland, Enterprise Ireland |
ID Code: | 17816 |
Deposited On: | 28 Feb 2013 14:45 by Brendan O'connor . Last Modified 18 Oct 2018 12:59 |
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