Speakers
- Prof. Dr Chris D. Geddes FRSC — University of Maryland, Baltimore County
- Prof. Brian T. Cunningham — University of Illinois Urbana-Champaign
Abstract
Next-generation technologies for genomic sequencing and proteome profiling are revealing the mechanisms of cancer biology, while generating panels of molecular biomarkers that characterize the stage and mechanisms driving disease within individual patients. While “liquid biopsy” samples can be obtained noninvasively and analyzed in centralized laboratory facilities, several clinical and human-centric factors motivate the need to perform cancer molecular diagnostics at the point of care, where obtaining immediate results in settings such as the oncologist’s office can inform initial therapy selection, therapy effectiveness monitoring, and longitudinal monitoring. Enabling such a vision requires development of novel sample preparation, assay methods, and biosensor detection that provides simple and rapid workflows performed on minimally processed samples, miniature and inexpensive detection instrumentation, low detection limits, quantitative accuracy, and multiplexing that incorporates experimental controls. This talk will summarize recent efforts to develop digital-resolution biodetection that utilizes photonic crystal surfaces and nanoparticle tags to amplify molecular detection contrast while utilizing novel biochemistry methods and machine-learning based image processing to detect nucleic acid and protein cancer biomarkers. Utilizing simple one-pot, room temperature assay workflows with <30 minute sample-to-answer time and detection with a ~$1K instrument, we are demonstrating attomolar-level detection limits with high selectivity in serum.
Looking for more in the field?
Explore more events from Springer Nature Biophysics Seminars and Springer Nature's Physics.