Evidence map›Paper›PMID 26926528›Full record

ArticleNano letters2016

Multistrand Structure Prediction of Nucleic Acid Assemblies and Design of RNA Switches.

Eckart Bindewald, Kirill A Afonin, Mathias Viard, Paul Zakrevsky, Taejin Kim, Bruce A Shapiro

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 61 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Eckart BindewaldBasic Science Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research , Frederick, Maryland 21702, United States.
Kirill A AfoninGene Regulation and Chromosome Biology Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702, United States.
Mathias ViardBasic Science Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research , Frederick, Maryland 21702, United States.
Paul ZakrevskyGene Regulation and Chromosome Biology Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702, United States.
Taejin KimGene Regulation and Chromosome Biology Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702, United States.
Bruce A ShapiroGene Regulation and Chromosome Biology Laboratory, Center for Cancer Research, National Cancer Institute , Frederick, Maryland 21702, United States.
Frederick National Laboratory for Cancer Research · USCenter for Cancer Research · USUniversity of North Carolina at Charlotte · US

Funding

Computational RNA NanodesignZIABC011061 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SHAPIRO, BRUCE · 2009 to 2021
$12.3M
CCR NIH HHS HHSN261200800001CIntramural NIH HHS ZIA BC011061NCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

RNA is an attractive material for the creation of molecular logic gates that release programmed functionalities only in the presence of specific molecular interaction partners. Here we present HyperFold, a multistrand RNA/DNA structure prediction approach for predicting nucleic acid complexes that can contain pseudoknots. We show that HyperFold also performs competitively compared to other published folding algorithms. We performed a large variety of RNA/DNA hybrid reassociation experiments for different concentrations, DNA toehold lengths, and G+C content and find that the observed tendencies for reassociation correspond well to computational predictions. Importantly, we apply this method to the design and experimental verification of a two-stranded RNA molecular switch that upon binding to a single-stranded RNA toehold disease-marker trigger mRNA changes its conformation releasing an shRNA-like Dicer substrate structure. To demonstrate the concept, connective tissue growth factor (CTGF) mRNA and enhanced green fluorescent protein (eGFP) mRNA were chosen as trigger and target sequences, respectively. In vitro experiments confirm the formation of an RNA switch and demonstrate that the functional unit is being released when the trigger RNA interacts with the switch toehold. The designed RNA switch is shown to be functional in MDA-MB-231 breast cancer cells. Several other switches were also designed and tested. We conclude that this approach has considerable potential because, in principle, it allows the release of an siRNA designed against a gene that differs from the gene that is utilized as a biomarker for a disease state.

Indexed as

Cell Line, TumorConnective Tissue Growth FactorDNAGreen Fluorescent ProteinsHumansModels, MolecularNucleic Acid ConformationRibonuclease IIIRNARNA, MessengerRNA, Small InterferingTransfectionCCN2 protein, humanConnective Tissue Growth FactorDNAGreen Fluorescent ProteinsRibonuclease IIIRNARNA, MessengerRNA, Small InterferingDicerRNA/DNA hybridRNA interferenceRNA switchsecondary structure

Identifiers

PMID26926528
PMCPMC6319913
OpenAlexW2290893604

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.