Quick Navigation

Topics

Spin Qubits Silicon Quantum Computing Quantum Machine Learning Quantum Chemistry

Label-Free MicroRNA Diagnostics: From CRISPR Nucleases to Nanomaterial-Enhanced Transducers.

PubMed
Authors: Feng L, Yu P, He N, Zhang Q, Tang Y, Geng J, Lu Q, Song C, Chen F

Year

2026

Paper ID

38602

Status

Peer-reviewed

Abstract Read

~2 min

Abstract Words

208

Citations

2

Abstract

Label-free detection of microRNAs (miRNAs) has emerged as a pivotal approach in molecular diagnostics, integrating the programmability of CRISPR systems with the high sensitivity of nanomaterial-based transduction. miRNAs are short, noncoding RNAs that play central roles in gene regulation and disease pathogenesis, serving as valuable biomarkers for early diagnosis and prognosis. Conventional miRNA detection methods rely on labeling and multistep amplification, which hinder their adaptability for rapid and point-of-care applications. In contrast, label-free biosensing translates molecular recognition into intrinsic optical, electrochemical, or mechanical signals, enabling real-time, amplification-free analysis. This review summarizes recent advances in label-free miRNA biosensing, with emphasis on CRISPR/Cas12a, Cas13a, and Cas14a systems that couple target recognition with signal transduction, and nanomaterial-assisted platforms including gold and silver nanoparticles, carbon nanotubes, quantum dots, silica nanostructures, and magnetic composites. Particular attention is given to innovations that achieve attomolar-level sensitivity, single-nucleotide discrimination, and multiplex detection. We also discuss integration into microfluidic and wearable platforms, addressing persistent challenges in repeatability and stability, antifouling performance, and clinical translation. Emerging trends in artificial intelligence-assisted data processing, molecular logic circuits, and digital single-molecule biosensing are highlighted. These advances collectively outline the pathway toward intelligent, amplification-free, and portable miRNA diagnostics, bridging molecular biology and synthetic bioengineering for next-generation healthcare applications.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2026 reference point for readers tracking recent quantum research.
  • Label-free detection of microRNAs (miRNAs) has emerged as a pivotal approach in molecular diagnostics, integrating the programmability of CRISPR systems with the high...

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #38602 #69042 Simultaneous Fragment Docking f... #69037 Spin dynamics and ortho-para co... #69034 Hardware-aware Low-latency Quan... #69025 Machine-Learning Optimization a...

External citation index: OpenAlex citation signal • updated 2026-06-13 22:52:27

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.