Evidence map›Paper›PMID 42396174›Full record

ReviewBiodesign research2026

Prime editing: Emerging mechanisms, engineering innovations, and next-generation applications.

Waqar Muhammad, Ali Amjad, Yufei Liu, Aziz Umar, Kai Chen, Xiaolong Wang, Kun Xu

Abstract readReview
In one paragraph

Review in Biodesign research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Waqar MuhammadHainan Institute of Northwest A&F University, Sanya, 572025, Hainan, China.
Ali AmjadDepartment of Poultry Production, Government of Sindh, Pakistan.
Yufei LiuHainan Institute of Northwest A&F University, Sanya, 572025, Hainan, China.
Aziz UmarCollege of Animal Science and Technology, Northwest A&F University, No.22 Xinong Road, Yangling, 712100, Shaanxi, China.
Kai ChenCollege of Life Sciences, Northwest A&F University, No.22 Xinong Road, Yangling, 712100, Shaanxi, China.
Xiaolong WangHainan Institute of Northwest A&F University, Sanya, 572025, Hainan, China.
Kun XuHainan Institute of Northwest A&F University, Sanya, 572025, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prime editing has become a highly programmable and accurate genome-editing platform that can install targeted substitutions, insertions, and deletions without introducing double-strand breaks or requiring a separate donor DNA template. This review summarizes recent developments about prime editing mechanisms, such as knowledge about flap dynamics, repair pathway interactions, and pegRNA architecture, and improvements in engineering, resulting in high-efficiency systems, including PEmax, PE4/5, TWIN-PE, PASTE, and PrimeRoot. Such advances now make prime editing applicable to therapeutic gene correction, agricultural biotechnology, microbial engineering, and functional genomics. However, delivery, chromatin context, mismatch-repair variability, and large-fragment integration remain major barriers to broad application. By comparing prime editing with other genome-editing modalities, this review summarizes its unique advantages and highlights strategic innovations needed for its next stage of development. Together, these developments position prime editing as a highly programmable platform with strong potential to shape the future of precise genome rewriting.

Indexed as

Gene correctionGenome rewritingMismatch repairpegRNAPrecision genome engineeringPrime editingRecombinase integration

Identifiers

PMID42396174
PMCPMC13324054

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.