Cell surface sensors could advance precision medicine
Researchers have found a way to identify multiple cell signaling proteins using a single cell rather than the billions of cells used previously.
The new measurement technology, developed by researchers at the ARC Centre of Excellence for Nanoscale Biophotonics, brings precision medicine a step closer. "Cells secrete various messenger molecules, such as cytokines.
They may indicate the presence of a disease or act as a driver of key therapeutic effects," says Dr. Guozhen Liu, lead author of paper detailing the technology.
The method, termed OnCELISA, uses antibodies attached on specially engineered cell surfaces to capture cytokine molecules before they have a chance to disperse away from the cell.
The secreted messenger proteins such as cytokines are reported, at the single cell level, by using fluorescent magnetic nanoparticles.
Cytokines secreted from cells play a critical role in controlling many physiological functions, including immunity, inflammation, response to cancer, and tissue repair.
The OnCELISA system can be used for ultrasensitive monitoring of cytokine release by individual cells, and it can also help discover cell populations with therapeutic value.
"The ability to identify and select cell populations based on their cytokine release is particularly valuable in commercial cell technologies and it can help develop unique products, such as future non-opioid pain relief" says Dr. Liu.
"Importantly, our design uses commercially available reagents only, so it can be easily reproduced by others," she adds.
While the published work focuses on specific proinflammatory cytokines IL-6 and IL-1β, the method is potentially suitable for a broad range of other secreted proteins and cell types.
The new technique represents an advance on traditional methods such as the enzyme-linked immunosorbent assays (ELISA) that detect average levels of secreted molecules from cell ensembles.
More information: Guozhen Liu et al. A Nanoparticle-Based Affinity Sensor that Identifies and Selects Highly Cytokine-Secreting Cells, iScience (2019). DOI: 10.1016/j.isci.2019.09.019