bioRxivGenomicsPreprint
A rapid, sensitive, and quantitative high plex biomarker digital detection platform enabled by Hypercoding
Madhavi Bathina, Angela P. Blum, Jeffrey D. Brodin, Nicole DeBuono, Yao Fu, Bo Lu, Matthew R. NaticchiaiD, Daniel Ortiz, Andrew Richards, Cyrus de Rozieres, Rachel M. Schowalter, Sarah Shultzaberger, Samantha Snow, Stephen W. TanneriD, Christy L. TrejoiD, Spencer Ward, Jaekyung KohiD, Richard LeCoultre, Kristen Read, Shashank SatheiD, Isabelle Schlegel, Isabelle Schlegel, Sebastian Shaner, James Tsay, Jessica Weir, , Ludovic G. Vincent
Abstract
Low-cost, multiplexed, and automated assays are needed to make omic technologies more broadly accessible in clinical, research, and commercial settings. We present Hypercoding, a scalable technology for detection and quantitation of multi-omic targets. Drawing from data reliability methods in the telecommunications field, Hypercoding uses fluorescent signals from hybridization with an error-correcting code to enable detection of high-plexity targets from biological samples, such as human DNA. In the presence of the target, a linear DNA construct is circularized, immobilized, and amplified to enable single-molecule detection of a target via rapid readout cycles within a 96-well plate. We demonstrate capability for >10,000 code plexity and accurate (98.7%) genotyping of 209 pharmacogenomic variants. Furthermore, we show computation of copy number variation with whole chromosome and sub-gene resolution, as well as quantitation of target abundance down to 10 fM sensitivity with a dynamic range of up to 10 logs.
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: variant calling
- approach: experimental assay
- Citations
- 0
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