Evidence map›Paper›PMID 41222688›Full record

ReviewAnalytical and bioanalytical chemistry2026

A multifunctional approach: merging CRISPR/Cas technology with DNA nanomachines for advanced biosensing.

Aijiao Yuan, Tianrui Sun, Zhaojia Deng, Lei Ye, Yingxu Shang, Wenjing Xie, Hanyong Peng

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Aijiao YuanState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Tianrui SunState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Zhaojia DengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Lei YeState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Yingxu ShangState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Wenjing XieState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Hanyong PengState Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. hypeng@rcees.ac.cn.ORCID http://orcid.org/0000-0001-7079-0827

Funding

National Key Research and Development Program of China 2023YFA0915102National Natural Science Foundation of China 22276199National Natural Science Foundation of China 22306195Strategic Priority Research Program of the Chinese Academy of Sciences XDB0750100
6 · The paper itself

Abstract

CRISPR/Cas systems have revolutionized nucleic acid recognition, offering unparalleled programmability for biosensing. Simultaneously, DNA nanomachines have emerged as powerful bioanalytical tools due to their structural precision, biocompatibility, and multifunctional capabilities. The strategic integration of these platforms synergistically enhances sensitivity, specificity, and multiplexing potential, creating next-generation bioanalytical systems. While promising, this convergence presents unique engineering challenges and necessitates critical evaluation. This review systematically analyzes the target recognition mechanisms of CRISPR/Cas systems and critically evaluates prevalent signal readout modalities. A core focus is the critical assessment of innovative biosensing strategies that leverage DNA nanomachines-particularly dynamic walker systems-coupled with CRISPR/Cas activation. We highlight representative integrated platforms, detailing their operational principles and objectively examining their demonstrated advantages against inherent limitations such as signal leakage, complex assembly, and in vivo applicability constraints. By providing a critical analysis of the synergistic potential and current constraints of CRISPR/Cas-DNA nanomachine integration, this review aims to guide rational design towards robust, clinically translatable precision diagnostics and therapeutics.

Indexed as

Biosensing TechniquesCRISPR-Cas SystemsDNANanostructuresAnimalsHumansDNABiosensingCRISPR/CasCRISPR nanomachineDNA nanomachinesSignal transduction

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.