Point-of-Care Test Cracks Code for Cell-Free Protein Detection

With a flexible, no-equipment-needed platform, ChBE researchers are creating a new way to test for disease at home or anywhere medical resources are limited.
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The team's modular cell-free protein biosensor platform produces a simple color output based on the amount of protein detected in a sample. That makes it easy for any user, without specialized training, to read the results of a test at home or in areas with limited access to medical resources. (Photo: Candler Hobbs)

Chemical and biomolecular engineers at Georgia Tech have developed a plug-and-play platform for detecting protein biomarkers of disease that’s simple, flexible, and easy to use without costly lab equipment.

Their work could unlock a new wave of at-home testing options and provide new diagnostic capabilities in parts of the world where medical resources are scarce.

The testing platform fills a gap in using cell-free synthetic biology for disease detection. Existing cell-free tools have proven effective at measuring DNA, RNA, and other small molecules, but not proteins. That’s an important advance because proteins in viruses or bacteria tend to change less than the DNA or RNA sequences that encode those proteins. They’re also easier to detect since they can be found on the outside of cell walls or free-floating in biofluids. 

“Diagnosing disease and democratizing medical care by putting it into the public's hands has great potential. You can have a big impact on a lot of people,” said Mark Styczynski, William R. McLain Endowed Professor in the School of Chemical and Biomolecular Engineering.

“I think about that a lot in terms of the developing world, but also there's a lot of healthcare inequality even in the United States. Studies have shown your ZIP code can determine your life expectancy. You can think about people in sub-Saharan Africa or people in rural Appalachia all benefiting. They’re among those who need more access to low-cost tools.”

Styczynski and a group of researchers led by former Ph.D. student Megan McSweeney presented their test in late February in the journal Science Advances.

Read the full story on the College of Engineering website.