Evidence map›Paper›PMID 42112875›Full record

ArticleACS sensors2026

Fluorogenic Aptamer Optimization on a Massively Parallel Sequencing Platform.

Yu-An Kuo, Yuan-I Chen, Naseem Siraj, Yujie He, Zhenglin Yang, Yanxing Wang, Emile J Batchelder-Schwab, Zeynep Korkmaz, Siem Yonas, Trung D Nguyen and 11 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS sensors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Yu-An KuoDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Yuan-I ChenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0002-9559-2779
Naseem SirajDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA.
Yujie HeDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0002-6984-3052
Zhenglin YangDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.
Yanxing WangDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0001-7239-8482
Emile J Batchelder-SchwabDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA.ORCID 0000-0002-6384-9445
Zeynep KorkmazDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Siem YonasDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Trung D NguyenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Soonwoo HongDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0002-7618-9052
Anh-Thu NguyenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Sohyun KimDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Saeed SeifiDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Po-Hsun FanDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.
Yuting WuDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0003-3196-5916
Hung-Wen LiuDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.
Yi LuDepartment of Chemistry, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0003-1221-6709
Pengyu RenDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.
Chengde MaoDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA.ORCID 0000-0001-7516-8666
Hsin-Chih YehDepartment of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, USA.ORCID 0000-0001-6654-5626

Funding

DEVELOPMENT OF A NEXT-GENERATION NUCLEIC ACID FORCE FIELDR01GM106137 · NIGMS · WASHINGTON UNIVERSITY · PI JAY PONDER, Pengyu Ren · 2013 to 2026
$3.5M
Design and Selection of Novel Metalloenzymes for Biocatalysis, Bioimaging, and Genetic EngineeringR35GM141931 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Yi Lu · 2021 to 2026
$3.5M
New X-ray Diffractometer and Detector for Purdue Macromolecular CrystallographyS10OD030507 · OD · PURDUE UNIVERSITY · PI TESMER, JOHN · 2022 to 2022
$860k
Studying synaptic transmission under opioid exposure using hiPSC-derived midbrain model and hyperspectral fluorescence lifetime imagingR21DA060543 · NIDA · UNIVERSITY OF TEXAS AT AUSTIN · PI SEIDLITS, STEPHANIE KRISTIN, YEH, HSIN-CHIH · 2024 to 2025
$404k
NIDA NIH HHS R21 DA060543NIGMS NIH HHS R01 GM106137NIGMS NIH HHS R35 GM141931NIH HHS S10 OD030507
6 · The paper itself

Abstract

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

Indexed as

Aptamers, NucleotideFluorescent DyesHigh-Throughput Nucleotide SequencingBiotinLactucaAptamers, NucleotideBiotinFluorescent DyesC14TFAP optimizationfluorogenic aptamerspathogen diagnostics

Identifiers

PMID42112875
PMCPMC13366485

What OpenQuestion holds

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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.