Evidence map›Paper›PMID 26359915›Full record

ArticleACS chemical biology2015

In Vitro Screening and in Silico Modeling of RNA-Based Gene Expression Control.

Maureen McKeague, Yen-Hsiang Wang, Christina D Smolke

Abstract readLetter
In one paragraph

Article in ACS chemical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Enhancing CAR-T Cell Therapy with Functional Nucleic Acids.ACS pharmacology & translational science · 2021
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Biomedical Applications of RNA-Based Devices.Current opinion in biomedical engineering · 2017
    Article
  8. Aptamers for DNA Damage and Repair.International journal of molecular sciences · 2017
    Review
  9. Article
  10. 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

3 authors.

Maureen McKeague *Department of Bioengineering; 443 Via Ortega, MC 4245; Stanford University; Stanford, CA 94305.
Yen-Hsiang Wang *Department of Bioengineering; 443 Via Ortega, MC 4245; Stanford University; Stanford, CA 94305.
Christina D SmolkeDepartment of Bioengineering; 443 Via Ortega, MC 4245; Stanford University; Stanford, CA 94305.

Funding

Synthetic Biology Platforms for Natural Product Discovery and BiosynthesisDP1AT007886 · NCCIH · STANFORD UNIVERSITY · PI SMOLKE, CHRISTINA D · 2012 to 2016
$3.9M
NCCIH NIH HHS DP1 AT007886
6 · The paper itself

Abstract

Molecular tools for controlling gene expression are essential for manipulating biological systems. One class of tools includes RNA switches that incorporate RNA-based sensors, known as aptamers. However, most switches reported to date are responsive to toxic molecules or to endogenous metabolites. For effective conditional control, switches must incorporate RNA aptamers that exhibit selectivity against such endogenous metabolites. We report a systematic approach which combines a rapid in vitro assay and an in silico model to support an efficient, streamlined application of aptamers into RNA switches. Model predictions were validated in vivo and demonstrate that the RNA switches enable selective and programmable gene regulation. We demonstrate the method using aptamers that bind the FDA-approved small molecule (6R)-folinic acid, providing access to new molecular targets for gene expression control and much-needed clinically relevant tools for advancing RNA-based therapeutics.

Indexed as

Aptamers, NucleotideBiological AssayDrug Delivery SystemsGene Expression RegulationLeucovorinReproducibility of ResultsSaccharomyces cerevisiaeSmall Molecule LibrariesAptamers, NucleotideLeucovorinSmall Molecule Libraries

Identifiers

PMID26359915
PMCPMC4936389

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.