Evidence map›Paper›PMID 36282114›Full record

ArticleChembiochem : a European journal of chemical biology2022

Inverse In Vitro Selection Enables Comprehensive Analysis of Cross-Chiral L-Aptamer Interactions.

Alexander T Piwko, Xuan Han, Adam M Kabza, Sougata Dey, Jonathan T Sczepanski

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2022. 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. Cross-chiral exponential amplification of an RNA enzyme.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Review
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

5 authors.

Alexander T PiwkoDepartment of Chemistry, Texas A&M University, College Station, 77843 TX, USA.
Xuan HanDepartment of Chemistry, Texas A&M University, College Station, 77843 TX, USA.
Adam M KabzaDepartment of Chemistry, Texas A&M University, College Station, 77843 TX, USA.
Sougata DeyDepartment of Chemistry, Texas A&M University, College Station, 77843 TX, USA.
Jonathan T SczepanskiDepartment of Chemistry, Texas A&M University, College Station, 77843 TX, USA.ORCID 0000-0002-9275-2597

Funding

Mirror Image Aptamers: Next Generation RNA-Binding Reagents for Basic Research and Therapeutic ApplicationsR35GM124974 · NIGMS · TEXAS A&M UNIVERSITY · PI Jonathan Thomas Sczepanski · 2017 to 2026
$3.0M
NIGMS NIH HHS R35 GM124974
6 · The paper itself

Abstract

Aptamers composed of mirror-image L-(deoxy)ribose nucleic acids, referred to as L-aptamers, are a promising class of RNA-binding reagents. Yet, the selectivity of cross-chiral interactions between L-aptamers and their RNA targets remain poorly characterized, limiting the potential utility of this approach for applications in biological systems. Herein, we carried out the first comprehensive analysis of cross-chiral L-aptamer selectivity using a newly developed "inverse" in vitro selection approach that exploits the genetic nature of the D-RNA ligand. By employing a library of more than a million target-derived sequences, we determined the RNA sequence and structural preference of a model L-aptamer and revealed previously unidentified and potentially broad off-target RNA binding behaviors. These results provide valuable information for assessing the likelihood and consequences of potential off-target interactions and reveal strategies to mitigate these effects. Thus, inverse in vitro selection provides several opportunities to advance L-aptamer technology.

Indexed as

Aptamers, NucleotideBase SequenceGene LibraryLigandsRNASELEX Aptamer TechniqueAptamers, NucleotideLigandsRNAIn vitro selectionL-aptamersRNAselectivitysequencing

Identifiers

PMID36282114
PMCPMC9798143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.