A Purdue University biochemist has developed a novel method for detecting certain types of proteins that serve as indicators for cancer and other diseases.
Glycoproteins are formed when sugars attach to and modify a protein. In some cases, a combination of glycoproteins present in a sample of blood or urine could be an indicator of disease or cancer.
But those glycoproteins can be elusive. There has been no antibody to differentiate between them and regular proteins. And the complex and bulky sugar groups can make it difficult for even standard protein-detection antibodies to find their targets.
W. Andy Tao, a Purdue professor of biochemistry, has developed a novel protein array, a high throughput platform to analyze multiple proteins in parallel, for separating glycoproteins from unmodified proteins. Tao also demonstrated its effectiveness for identifying glycoproteins associated with bladder cancer. The findings were published Monday (Nov. 14) in the Journal of the American Chemical Society.
Tao developed a nano-sized polymer, called polyGPA, that attaches to the sugar groups of glycoproteins and brings them to the surface of the protein array. The nanopolymer also repositions the glycoprotein so that the antibodies used to detect unmodified proteins can better reach their targets.
“There are many sugar types and combinations. Sugar modification can be a very important indication of disease state,” Tao said. “A panel of proteins modified by sugars may be an indication of a particular disease.”
Tao said tests showed his method is 17 times to 25 times more likely to identify proteins that might have otherwise been missed in regular testing procedures. He was also able to identify glycoproteins associated with bladder cancer in a urine sample.
“It is possible to use our platform to identify these sugar-modified proteins as a biomarker for bladder cancer,” Tao said.
Story from Purdue University. Original piece written by Brian Wallheimer. Please note: The content above may have been edited to ensure it is in keeping with Technology Networks’ style and length guidelines.
Pan, L., Aguilar, H. A., Wang, L., Iliuk, A., & Tao, W. A. (2016). Three-Dimensionally Functionalized reverse phase Glycoprotein array for cancer Biomarker discovery and validation. Journal of the American Chemical Society. doi:10.1021/jacs.6b10239