Evidence map›Paper›PMID 30520292›Full record

ArticleACS sensors2018

Direct Selection Strategy for Isolating Aptamers with pH-Sensitive Binding Activity.

Chelsea K L Gordon, Michael Eisenstein, Hyongsok Tom Soh

Open access · hybridAbstract read
In one paragraph

Article in ACS sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Dynamic reprogramming of the tumor immune network via multicycle checkpoint degradation for cancer immunotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Review
  6. Flexible Multiplexed IniScience · 2020
    Article
  7. Review
  8. Article
  9. Article
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

3 authors at 2 institutions in 1 country.

Chelsea K L Gordon
Michael Eisenstein
Hyongsok Tom SohChan Zuckerberg Biohub , San Francisco , California 94158 , United States.ORCID 0000-0001-9443-857X
Stanford University · USChan Zuckerberg Initiative (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An aptamer reagent that can switch its binding affinity in a pH-responsive manner would be highly valuable for many biomedical applications including imaging and drug delivery. Unfortunately, the discovery of such aptamers is difficult and only a few have been reported to date. Here we report the first experimental strategy for generating pH-responsive aptamers through direct selection. As an exemplar, we report streptavidin-binding aptamers that retain nanomolar affinity at pH 7.4 but exhibit a ∼100-fold decrease in affinity at pH 5.2. These aptamers were generated by incorporating a known streptavidin-binding DNA motif into an aptamer library and performing FACS-based screening at multiple pH conditions. Upon structural analysis, we found that one aptamer's affinity-switching behavior is driven by a noncanonical G-A base-pair that controls its folding in a highly pH-dependent manner. We believe our strategy could be readily extended to other aptamer-target systems because it does not require a priori structural knowledge of the aptamer or the target.

Indexed as

Aptamers, NucleotideBase PairingBase Pair MismatchDNAFluorescenceFluorescent DyesHydrogen-Ion ConcentrationNucleic Acid ConformationPolymerase Chain ReactionProtein BindingStreptavidinAptamers, NucleotideDNAFluorescent DyesStreptavidinaptamersflow cytometryhigh-throughput screeningparticle displaypH-switchingstructure-switching

Identifiers

PMID30520292
PMCPMC6312627
OpenAlexW2899466387

What OpenQuestion holds

Textmetadata
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.