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Related Experiment Video

Updated: Jun 18, 2026

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Detection of Human Leukocyte Antigen Biomarkers in Breast Cancer Utilizing Label-free Biosensor Technology

Published on: March 24, 2015

Weight-Controllable Biobarcode Probes for Multi-input Breast Cancer Diagnosis.

Ruiting Liu¹, Jiajia Song¹, Shiyuan Liu¹

¹State Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha 410082, P. R. China.

|June 17, 2026

Summary

This summary is machine-generated.

We developed weight-controllable biobarcode probes (WBPs) for programmable DNA molecular classifiers. This innovation enables accurate, noninvasive breast cancer detection using serum samples.

Keywords:

DNA barcode DNA computing cancer diagnosis miRNA molecular classifier

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

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Area of Science:

Biotechnology
Molecular Diagnostics
Cancer Research

Background:

DNA-based molecular classifiers offer noninvasive cancer diagnosis alternatives to biopsies.
Current DNA-computation methods face challenges with complex pathways and weight assignment.

Purpose of the Study:

To develop weight-controllable biobarcode probes (WBPs) for programmable signal amplification.
To create a scalable, noninvasive platform for precision cancer diagnosis.

Main Methods:

Developed WBPs for precise stoichiometric regulation of barcode strands.
Implemented fluorescence-based analog-to-digital signal conversion for multi-target representation.
Integrated three miRNA inputs with in silico machine learning for classifier construction.

Main Results:

WBPs demonstrated robust performance in weighted molecular computation.
Achieved representation of 128 combinations across up to seven targets.
Developed a WBP-based classifier distinguishing breast cancer patients from healthy individuals with 84.00% accuracy in clinical serum samples.

Conclusions:

Expanded biobarcode technology for logical analysis of multiple targets.
Established a scalable and noninvasive platform for precision cancer diagnosis.
Demonstrated the potential of WBPs in developing advanced molecular diagnostic tools.