ACS SensorsBiophysicsPeer-reviewed journal article
Fluorogenic Aptamer Optimizations on a Massively Parallel Sequencing Platform
Yu-An Kuo, Y.-I. CheniD, Naseem Siraj, Yujie HeiD, Zhenglin Yang, Yanxing WangiD, Emile J. Batchelder-SchwabiD, Zeynep Korkmaz, Siem Yonas, Trung D. Nguyen, Soonwoo HongiD, Anh-Thu Nguyen, S H Kim, Saeed SeifiiD, Po‐Hsun Fan, Yuting WuiD, Hung‐wen LiuiD, Yi LuiD, Pengyu Y. ReniD, Chengde MaoiD, Hsin‐Chih YehiD
Abstract
Fluorogenic aptamers (FAPs) have become an increasingly important tool in cellular sensing and pathogen diagnostics. However, fine-tuning FAPs for enhanced performance remains challenging even with the structural details provided by X-ray crystallography. Here we present a novel approach to optimize a DNA-based FAP (D-FAP), Lettuce, on repurposed Illumina next-generation sequencing (NGS) chips. When substituting its cognate chromophore, DFHBI-1T, with TO1-biotin, Lettuce not only shows a red-shifted emission peak by 53 nm (from 505 to 558 nm), but also a 4-fold bulk fluorescence enhancement. After screening 8,821 Lettuce variants complexed with TO1-biotin, the C14T mutation is found to exhibit an improved apparent dissociated constant ([Formula] vs. 0.82 {micro}M), an increased quantum yield (QY: 0.62 vs. 0.59) and an elongated fluorescence lifetime ({tau}: 6.00 vs. 5.77 ns), giving 45% more ensemble fluorescence than the canonical Lettuce/TO1-biotin complex. Molecular dynamic simulations further indicate that the {pi}-{pi} stacking interaction is key to determining the coordination structure of TO1-biotin in Lettuce. Our screening-and-simulation pipeline can effectively optimize FAPs without any prior structural knowledge of the canonical FAP/chromophore complexes, providing not only improved molecular probes for fluorescence sensing but also insights into aptamer-chromophore interactions.
- assay: DNA methylation
- assay: long-read sequencing
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
- Citations
- 2
- FWCI
- 2.94
- Field percentile
- top 9%
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