Evidence map›Paper›PMID 38381341›Full record

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

Base-Editor-Mediated circRNA Knockout by Targeting Predominantly Back-Splice Sites.

Xu-Kai Ma, Xiang Gao, Mei Cao, Li Yang

Abstract read
PubMed Publisher
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.0field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Xu-Kai Ma *Center for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Xiang Gao *Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Mei CaoCenter for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
Li YangCenter for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China. liyang_fudan@fudan.edu.cn.
Children's Hospital of Fudan University · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Back-splicing of eukaryotic exon(s) leads to the production of covalently closed circular RNAs (circRNAs). Generally, most circRNAs contain overlapping sequences to their cognate linear RNAs from the same gene loci, leading to difficulties in distinguishing them from each other. A recent study has shown that some circRNAs can be specifically depleted by using base editing systems to target their predominantly back-splice sites for circularization, suggesting an efficient approach for circRNA knockout (KO). Here, we describe the detailed protocol for applying base editors to disrupt back-splice sites of predominantly circularized exons for circRNA KO at the genomic DNA level.

Indexed as

RNARNA, CircularExonsRNA SplicingRNARNA, CircularBack-splice siteBase editorcircRNACircular RNAKnockout

Identifiers

PMID38381341
OpenAlexW4392006548

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.