Evidence map›Paper›PMID 37095144›Full record

ArticleNature communications2023

A massively parallel screening platform for converting aptamers into molecular switches.

Alex M Yoshikawa, Alexandra E Rangel, Liwei Zheng, Leighton Wan, Linus A Hein, Amani A Hariri, Michael Eisenstein, H Tom Soh

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
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  16. Review
  17. Article
  18. Generalizable Molecular Switch Designs forAccounts of chemical research · 2025
    Article
  19. Article
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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

8 authors.

Alex M Yoshikawa *Department of Chemical Engineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-7641-9815
Alexandra E Rangel *Department of Radiology, Stanford University, Stanford, CA, 94305, USA.
Liwei ZhengDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-1611-2213
Leighton WanDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0001-8935-4144
Linus A HeinDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.
Amani A HaririDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.
Michael EisensteinDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA.
H Tom SohDepartment of Radiology, Stanford University, Stanford, CA, 94305, USA. tsoh@stanford.edu.ORCID 0000-0001-9443-857X

Funding

Real-time biosensor for mapping the function of the pancreasOT2OD025342 · OD · STANFORD UNIVERSITY · PI SOH, HYONGSOK TOM · 2018 to 2021
$4.6M
Deep characterization of the sequence space and evolutionary trajectories of reconstructed ancestral proteins - Resubmission 01R01GM121931 · NIGMS · UNIVERSITY OF CHICAGO · PI THORNTON, JOSEPH W · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM121931NIH HHS OT2 OD025342
6 · The paper itself

Abstract

Aptamer-based molecular switches that undergo a binding-induced conformational change have proven valuable for a wide range of applications, such as imaging metabolites in cells, targeted drug delivery, and real-time detection of biomolecules. Since conventional aptamer selection methods do not typically produce aptamers with inherent structure-switching functionality, the aptamers must be converted to molecular switches in a post-selection process. Efforts to engineer such aptamer switches often use rational design approaches based on in silico secondary structure predictions. Unfortunately, existing software cannot accurately model three-dimensional oligonucleotide structures or non-canonical base-pairing, limiting the ability to identify appropriate sequence elements for targeted modification. Here, we describe a massively parallel screening-based strategy that enables the conversion of virtually any aptamer into a molecular switch without requiring any prior knowledge of aptamer structure. Using this approach, we generate multiple switches from a previously published ATP aptamer as well as a newly-selected boronic acid base-modified aptamer for glucose, which respectively undergo signal-on and signal-off switching upon binding their molecular targets with second-scale kinetics. Notably, our glucose-responsive switch achieves ~30-fold greater sensitivity than a previously-reported natural DNA-based switch. We believe our approach could offer a generalizable strategy for producing target-specific switches from a wide range of aptamers.

Indexed as

Aptamers, NucleotideBiosensing TechniquesBase PairingDNAPhysicsAptamers, NucleotideDNA

Identifiers

PMID37095144
PMCPMC10126150

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Registered trials

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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.