Evidence map›Paper›PMID 35228902›Full record

ArticleMolecular therapy. Nucleic acids2022

Towards SINEUP-based therapeutics: Design of an

Paola Valentini, Bianca Pierattini, Elsa Zacco, Damiano Mangoni, Stefano Espinoza, Natalie A Webster, Byron Andrews, Piero Carninci, Gian Gaetano Tartaglia, Luca Pandolfini and 1 more

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Real-time monitoring strategies for optimization ofFrontiers in molecular biosciences · 2023
    Review
  7. Natural antisense transcripts as drug targets.Frontiers in molecular biosciences · 2022
    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

11 authors.

Paola ValentiniCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Bianca PierattiniCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Elsa ZaccoCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Damiano MangoniCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Stefano EspinozaCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Natalie A WebsterSTORM Therapeutics, Babraham Research Campus, Moneta Building, Cambridge, CB22 3AT, UK.
Byron AndrewsSTORM Therapeutics, Babraham Research Campus, Moneta Building, Cambridge, CB22 3AT, UK.
Piero CarninciRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan.
Gian Gaetano TartagliaCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Luca PandolfiniCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.
Stefano GustincichCentral RNA Laboratory, Istituto Italiano di Tecnologia (IIT), 16152 Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SINEUPs are a novel class of natural and synthetic non-coding antisense RNA molecules able to increase the translation of a target mRNA. They present a modular organization comprising an unstructured antisense target-specific domain, which sets the specificity of each individual SINEUP, and a structured effector domain, which is responsible for the translation enhancement. In order to design a fully functional

Indexed as

DJ-1in vitro transcriptionRNA modificationsRNA therapeuticsSINEUPs

Identifiers

PMID35228902
PMCPMC8857549

What OpenQuestion holds

Textmetadata
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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.