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DNA framework–based molecular transformer for logic-driven precision diagnostics

delete2026-02-25
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OA
AI
S
Shuyang Zhang
K
Kai Xia
L
Lihua Wang
樊春海 cover
樊春海 (Chunhai Fan)
尹芳菲 cover
尹芳菲 (Fangfei Yin) *
左小磊 (Xiaolei Zuo) *
DOI:10.1126/sciadv.aeb5612delete
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Abstract

Abstract

En 中文
Precision diagnostics requires logical integration of diverse biomarker information, but molecular heterogeneity and inconsistent identification kinetics hinder robust logic analysis. To overcome this, we develop a universal molecular transformer using DNA tetrahedral frameworks (DTFs) as programmable scaffolds. This system converts diverse biomarkers including proteins and variable-length nucleic acids into uniform 22-nucleotide DNA sequences, normalizing information dimensionality and identification kinetics. These uniform sequences serve as inputs for three fundamentals Boolean logic gates (AND, OR, and INHIBIT), enabling programmable molecular decision-making. Integrated on a gold-chip platform, the DTF transformer and logic system achieved statistically significant discrimination (P < 0.0001) among patients with prostate cancer, patients with benign prostatic hyperplasia, and healthy individuals using only two biomarkers (prostate-specific antigen and ALU115). By unifying signal transformation for Boolean logic computation, we resolve the critical challenges in molecular heterogeneity and establish a versatile platform for next-generation precision diagnostics.
Keywords:
DNA tetrahedral frameworks
molecular transformer
Boolean logic gates
precision diagnostics
biomarker integration

Journal

Science Advances cover
Science Advances
IF:
12.5
Papers:
2.0W
Citations:
18.1W

Organization

J
jiashan
Scholars:
7
Papers: 2
Citations: 0
S
Shanghai Jiao Tong University
Scholars:
7.8K
Papers: 2.4K
Citations: 14.8W