Aptamer-Based Sensing with Fluorescent Light-Up DNA

Abstract DNA aptamers are widely used in the construction of fluorescent sensors, typically employing labelled fluorophores as signaling indicators. However, this covalent labeling approach suffers from several limitations, including complex and costly chemical modification, incompatibility with long aptamer sequences, and susceptibility to false-positive signals. To address these limitations, we constructed a novel aptamer-based fluorescent sensor using Lettuce indicator, a light-up DNA aptamer that adopts a precise three-dimensional structure, which enables it to selectively bind and activate the otherwise non-fluorescent small-molecule fluorophores. In our design, we destabilized Lettuce by fusing it with a target-binding aptamer via a transducer sequence. Upon target binding, structural rearrangement is triggered through the transducer, leading to the folding of Lettuce and restoration of its ability to activate the fluorophore, generating a target-dependent fluorescent signal. Through systematic optimization of the transducer and target-binding aptamer sequences, we created sensors for diverse targets, including small molecules, proteins, and metal ions. These sensors exhibit high signal-to-noise ratios, sensitivity and selectivity, and a wide dynamic range. As a proof-of-concept demonstration, a paper-based test strip for cost-effective and rapid detection of small molecule mycotoxins was developed. This versatile design provides a generalizable platform for the development of aptamer-based sensors, opening the way for future detection of diverse analytes.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-09-12
DOI
https://doi.org/10.1021/acs.analchem.6c03182
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Aptamer-Based Sensing with Fluorescent Light-Up DNA

Xiaoying Zhao, Ranran Hou, Liuqin He, Xing Li et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

Aptamer-Based Sensing with Fluorescent Light-Up DNA

Xiaoying Zhao, Ranran Hou, Liuqin He, Xing Li, Chi Chen, Xin Ji, Tuoxin Yao, Hai Bao, Xin Liu, Yulong Yin
article en

Abstract

Abstract DNA aptamers are widely used in the construction of fluorescent sensors, typically employing labelled fluorophores as signaling indicators. However, this covalent labeling approach suffers from several limitations, including complex and costly chemical modification, incompatibility with long aptamer sequences, and susceptibility to false-positive signals. To address these limitations, we constructed a novel aptamer-based fluorescent sensor using Lettuce indicator, a light-up DNA aptamer that adopts a precise three-dimensional structure, which enables it to selectively bind and activate the otherwise non-fluorescent small-molecule fluorophores. In our design, we destabilized Lettuce by fusing it with a target-binding aptamer via a transducer sequence. Upon target binding, structural rearrangement is triggered through the transducer, leading to the folding of Lettuce and restoration of its ability to activate the fluorophore, generating a target-dependent fluorescent signal. Through systematic optimization of the transducer and target-binding aptamer sequences, we created sensors for diverse targets, including small molecules, proteins, and metal ions. These sensors exhibit high signal-to-noise ratios, sensitivity and selectivity, and a wide dynamic range. As a proof-of-concept demonstration, a paper-based test strip for cost-effective and rapid detection of small molecule mycotoxins was developed. This versatile design provides a generalizable platform for the development of aptamer-based sensors, opening the way for future detection of diverse analytes.

Analytical Chemistry
Hunan Normal University (CN), Beijing Technology and Business University (CN), Institute of Subtropical Agriculture (CN), Institute of Zoology (KZ), Institute of Zoology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.