Evidence map›Paper›PMID 30803822›Full record

ReviewMolecular therapy : the journal of the American Society of Gene Therapy2019

Genome Editing with mRNA Encoding ZFN, TALEN, and Cas9.

Hong-Xia Zhang, Ying Zhang, Hao Yin

Abstract readReview
In one paragraph

Review in Molecular therapy : the journal of the American Society of Gene Therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 2 pooled it
–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

123 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Article
  8. Strategies to eliminate native T cell receptors for adoptive T cell therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
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  13. Genes & diseases · 2026
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63 more citing papers are in PubMed but not listed here.

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

3 authors.

Hong-Xia ZhangDepartment of Urology, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Medical Research Institute, Wuhan University, 430071 Wuhan, China.
Ying ZhangMedical Research Institute, Wuhan University, 430071 Wuhan, China. Electronic address: ying.zhang84@whu.edu.cn.
Hao YinDepartment of Urology, Zhongnan Hospital of Wuhan University, 430071 Wuhan, China; Medical Research Institute, Wuhan University, 430071 Wuhan, China. Electronic address: haoyin@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-editing technologies based on programmable nucleases have significantly broadened our ability to make precise and direct changes in the genomic DNA of various species, including human cells. Delivery of programmable nucleases into the target tissue or cell is one of the pressing challenges in transforming the technology into medicine. In vitro-transcribed (IVT) mRNA-mediated delivery of nucleases has several advantages, such as transient expression with efficient in vivo and in vitro delivery, no genomic integration, a potentially low off-target rate, and high editing efficiency. This review focuses on key barriers related to IVT mRNA delivery, on developed modes of delivery, and on the application and future prospects of mRNA encoding nuclease-mediated genome editing in research and clinical trials.

Indexed as

AnimalsCRISPR-Associated Protein 9CRISPR-Cas SystemsDNADrug Delivery SystemsGene EditingGenomeHumansRNA, MessengerTranscription Activator-Like Effector NucleasesTranscription, GeneticZinc Finger NucleasesCRISPR-Associated Protein 9DNARNA, MessengerTranscription Activator-Like Effector NucleasesZinc Finger Nucleases

Identifiers

PMID30803822
PMCPMC6453514

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.