Evidence map›Paper›PMID 42818330›Full record

ArticlebioRxiv : the preprint server for biology2026

Engineering circular RNA expression systems to minimize contaminating linear RNA byproducts.

Christopher J Fields, Rina Fujiwara, Bradley W Wright, Brett W Stringer, Simon J Conn, Jeremy E Wilusz

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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.

Christopher J FieldsVerna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-3151-5870
Rina FujiwaraVerna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0003-0076-0029
Bradley W WrightVerna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0002-6233-831X
Brett W StringerCollege of Medicine and Public Health, Flinders Health and Medical Research Institute (FHMRI), Flinders University, Bedford Park, South Australia, 5042, Australia.ORCID 0000-0003-4552-9736
Simon J ConnCollege of Medicine and Public Health, Flinders Health and Medical Research Institute (FHMRI), Flinders University, Bedford Park, South Australia, 5042, Australia.ORCID 0000-0002-1376-4515
Jeremy E WiluszVerna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Therapeutic Innovation Center, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0001-6929-8755

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
Regulatory roles for the Integrator complex and circular RNAsR35GM119735 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WILUSZ, JEREMY E · 2016 to 2025
$4.1M
CyTOF XT with Hyperion XTi platformS10OD036336 · OD · BAYLOR COLLEGE OF MEDICINE · PI BEETON, CHRISTINE · 2024 to 2024
$829k
BD FACSDiscover S8 Spectral and Imaging Cell SorterS10OD038251 · OD · BAYLOR COLLEGE OF MEDICINE · PI BEETON, CHRISTINE · 2025 to 2025
$563k
NCI NIH HHS P30 CA125123NIGMS NIH HHS R35 GM119735NIH HHS S10 OD036336NIH HHS S10 OD038251
6 · The paper itself

Abstract

Circular RNAs (circRNAs) are generated by backsplicing of eukaryotic protein-coding transcripts and can regulate microRNAs and RNA binding proteins, or serve as translation templates. Their covalently closed structure confers resistance to exonuclease-mediated degradation, extending their half-life and supporting their development as RNA therapeutics. However, existing overexpression methods often yield substantial contaminating linear RNAs, limiting their utility. Here, we systematically benchmarked plasmid-based circRNA overexpression strategies in human cells, comparing spliceosome- and ribozyme-based mechanisms across constructs incorporating widely used flanking sequences. The ribozyme-based Tornado system produced the highest circRNA yield but introduced extraneous "molecular scars" into the mature product. By contrast, spliceosome-mediated circularization using introns from the

Indexed as

A-to-I RNA editingbacksplicingcircRNAcircRNA overexpressionCIRCUSLaccase2 intronsribozyme-based circularizationRNA therapeuticsTornado

Identifiers

PMID42818330
PMCPMC13622603

What OpenQuestion holds

Textmetadata
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.