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Laboratory-On-A-Chip Technique Simplifies Detection of Cancer DNA Biomarkers

December 21, 2016 By Phys.org

Cancer is the second leading cause of death in the U.S., making early, reliable diagnosis and treatment a priority for researchers. Genomic biomarkers offer great potential for diagnostics and new forms of treatment, such as immunotherapy. Miniaturized lab-on-chip approaches are prime candidates for developing viable diagnostic tests and instruments because they are small, need only limited test volumes, and can be cost-effective.

A team of scientists and engineers from the University of California, Santa Cruz and Brigham Young University have developed just such an approach capable of processing biomolecular samples from blood. Their method can analyze and identify multiple targets on a silicon-based molecular detection platform and is described this week in Biomicrofluidics, from AIP Publishing.

Laboratory-on-a-chip describes the miniaturization of laboratory functions such as blood testing on a chip. Instead of transferring relatively large (micro- to milliliters) samples between test tubes or using bulky analytical equipment, samples and reagents are handled on chip-scale devices with fluidic microchannels. This requires much smaller test volumes, and multiple functions can be integrated on a single device, improving speed, reliability and portability of these lab processes.

(Credit: Getty Images)

“Our approach uses optofluidic chips where both fluid processing and optical sensing are done on a chip, allowing for further miniaturization and performance enhancements of the chip system,” said Holger Schmidt, a Narinder Kapany professor of electrical engineering at the University of California, Santa Cruz.

The entire process of testing was a challenge for the team, led by Schmidt and Aaron Hawkins, a physics professor at Brigham Young University. Each of the chips had to be developed and tested for multiple functions, from filtering of blood cells without clogging the filter to reliably analyzing optical data to create the right excitation patterns on the silicon chip. However, the process worked as envisioned, and the team was pleasantly surprised to see just how powerful the multi-spot optical excitation method actually was.

The next step to realizing the potential of this research is to move toward real clinical samples and to detect individual DNA biomarkers.

“We have shown single nucleic acid analysis in the context of on-chip Ebola detection and would like to transfer that to this application,” said Schmidt.

Other goals for the team include increasing the speed of the analysis process, and integrating more optical elements on the chip. They also want to expand their capabilities to analyzing protein biomarkers in addition to nucleic acids and whole virus particles already demonstrated.

This research is expected to have a wide range of applications because the underlying principle of this kind of on-chip optical analysis and manipulation is very general.

“In the near term, we hope to build new diagnostic instruments for molecular diagnostics with applications in oncology and infectious disease detection, both viruses and (drug-resistant) bacteria,” Schmidt said. “In addition, these chips could be very useful for fundamental research in molecular biology and other life sciences since they can provide analysis of single nano- and microparticles without the need for expensive equipment. And they require a relatively low amount of experimental skills.”

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