Evidence map›Paper›PMID 38814396›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Design and Synthesis of Circular RNA Expression Vectors.

Julia Frei, Natalia T Jarzebska, Mark Mellett, Thomas M Kündig, Steve Pascolo, Andreas M Reichmuth

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Julia FreiDepartment of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Natalia T JarzebskaDepartment of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Mark MellettDepartment of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Thomas M KündigDepartment of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland.
Steve Pascolo *Department of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland. steve.pascolo@usz.ch.
Andreas M Reichmuth *Department of Dermatology, University Hospital Zurich (USZ), University of Zurich (UZH), Zurich, Switzerland. andreas.reichmuth@uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent success of the synthetic mRNA-based anti-COVID-19 vaccines has demonstrated the broad potential of the mRNA platform for applications in medicine, thanks to the combined efforts of a small community that has vastly improved key determinants such as design and formulation of synthetic mRNA during the past three decades. However, the cost of production and sensitivity to enzymatic degradation are still limiting the broader application of synthetic mRNA for therapeutic applications. The increased interest in mRNA-based technologies has spurred a renaissance for circular RNA (circRNA), as the lack of free 5' and 3' ends substantially increases resistance against enzymatic degradation in biological systems and does not require expensive cap analogs, as translation is controlled by an Internal Ribosome Entry Site (IRES) sequence. Thus, it can be expected that circRNA will play an important role for future mRNA therapeutics. Here we provide a detailed guide to the production of synthetic circRNA.

Indexed as

RNA, CircularCOVID-19Genetic VectorsHumansRNARNA, MessengerSARS-CoV-2RNARNA, CircularRNA, MessengercircRNACircular RNAGroup I ribozymeInternal ribosomal entry site (IRES)Permuted intron-exon

Identifiers

PMID38814396

What OpenQuestion holds

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Registered trials

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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.