Chromato-Kinetic Fingerprinting Enables Multiomic Digital Counting of Single Disease Biomarker Molecules
Early and personalized intervention in complex diseases requires robust molecular diagnostics, yet the simultaneous detection of diverse biomarkers─microRNAs (miRNAs), mutant DNAs, and proteins─remains challenging due to low abundance and preprocessing incompatibilities. We present Biomarker Single-molecule Chromato-kinetic multi-Omics Profiling and Enumeration (Bio-SCOPE), a triple-modality, multiplexed detection platform that integrates both chromatic and kinetic fingerprinting for nanoscale molecular profiling through digital encoding. Bio-SCOPE achieves femtomolar sensitivity, single-base mismatch specificity, and minimal matrix interference, enabling precise, parallel quantification of potentially up to nine biomarkers in a single sample with single-molecule resolution. We demonstrate its versatility in accurately detecting low-abundance miRNA signatures from human tissues, identifying upregulated miRNAs in the plasma of prostate cancer patients, and measuring elevated interleukin-6 (IL-6) and <i>hsa</i>-miR-21 levels in cytokine release syndrome patients. By seamlessly integrating multiomic biomarker panels on a unified, high-precision platform, Bio-SCOPE offers a comprehensive approach for molecular diagnostics and precision medicine.
Authors
- Nils G. Walter (ORCID: https://orcid.org/0000-0002-7301-1275)
- Erin Sandford (ORCID: https://orcid.org/0000-0003-3498-8144)
- Sujay Ray (ORCID: https://orcid.org/0000-0003-1076-0436)
- Shankar Mandal (ORCID: https://orcid.org/0000-0002-2653-8760)
- Liuhan Dai (ORCID: https://orcid.org/0000-0002-9742-236X)
- Muneesh Tewari (ORCID: https://orcid.org/0000-0002-7781-3152)
- Javed Siddiqui (ORCID: https://orcid.org/0009-0004-8251-4829)
- Tanmay Chatterjee (ORCID: https://orcid.org/0000-0002-1246-801X)
Institutions
- University of Michigan (US)
- VA Ann Arbor Healthcare System (US)
- Michigan Center for Translational Pathology (US)
- Institute of Bioinformatics (IN)
- U-M Rogel Cancer Center (US)
- Analysis Group (United States) (US)
Publication Details
- Journal
- ACS Nano
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1021/acsnano.5c05169
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute
- National Institute of General Medical Sciences