arrow
Return

Fluorogenic Aptamer Optimization on a Massively Parallel Sequencing Platform

delete2026-05-01
delete0
PRE
AI
K
Kuo, Yu-An
C
Chen, Yuan-, I
S
Siraj, Naseem
Y
Yujie He
Y
Yang, Zhenglin
Y
Yanxing Wang
B
Batchelder-Schwab, Emile J.
K
Korkmaz, Zeynep
Y
Yonas, Siem
N
Nguyen, Trung D.
S
Soonwoo Hong
N
Nguyen, Anh-Thu
K
Kim, Sohyun
S
Saeed Seifi
F
Fan, Po-Hsun
W
Wu, Yuting
H
Hung‐wen Liu
L
Lu, Yi
R
Ren, Pengyu
C
Chengde Mao
H
Hsin‐Chih Yeh *
DOI:10.1021/acssensors.5c04046delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Fluorogenic aptamers (FAPs) are increasingly important tools for cellular sensing and pathogen diagnostics. However, enhancing their performance remains a significant challenge. Here, we introduce a massively parallel approach to optimize the DNA-based FAP Lettuce using repurposed next-generation sequencing flow cells. By replacing Lettuce's cognate fluorogen, DFHBI-1T, with TO1-biotin, we achieve a 4-fold ensemble fluorescence enhancement, and a broader fluorescence lifetime modulation range from 4.7 to 6.0 ns. Through screening 8821 Lettuce variants complexed with TO1-biotin on a MiSeq chip, we identify the C14T mutant which exhibits an improved dissociation constant, increased quantum yield, extended fluorescence lifetime, and enhanced emission intensity. Co-crystal structures of the aptamer/fluorogen complexes reveal that pi-pi stacking interactions are critical for the stable coordination of TO1-biotin within Lettuce. When tested in a cellular environment, both the screening-identified C14T mutant and a structure-guided rationally designed variant, C14dU, exhibit 15% and 18% stronger fluorescence intensities, respectively, compared with canonical Lettuce. Our massive screening and molecular dynamics simulation pipeline enable efficient FAP optimization without prior structural knowledge, yielding not only improved probes for fluorescence sensing but also deeper insights into aptamer-fluorogen interactions.
Keywords:
fluorogenic aptamers
pathogen diagnostics
C14T
FAP optimization

Journal

ACS Sensors cover
ACS Sensors
IF:
9.1
Papers:
976
Citations:
2.6W

Organization

Purdue University System cover
Purdue University System
Scholars:
3.9W
Papers: 3.6W
Citations: 66
U
university of texas austin
Scholars:
2.4W
Papers: 2.0W
Citations: 54
U
university of texas system
Scholars:
18.5W
Papers: 15.6W
Citations: 210
researcher View more organizations