Evidence map›Paper›PMID 40265805›Full record

ReviewPlants (Basel, Switzerland)2025

Current Advancement and Future Prospects in Simplified Transformation-Based Plant Genome Editing.

Xueying Han, Zhaolong Deng, Huiyun Liu, Xiang Ji

Abstract readReview
In one paragraph

Review in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Genome Editing Approaches in Flax (International journal of molecular sciences · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. 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.

Xueying HanState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0009-0001-7200-732X
Zhaolong DengState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0009-0001-4008-4259
Huiyun LiuState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Xiang JiState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping, and Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.ORCID 0000-0002-4037-3085

Funding

National Natural Science Foundation of China 32370432
6 · The paper itself

Abstract

Recent years have witnessed remarkable progress in plant biology, driven largely by the rapid evolution of CRISPR/Cas-based genome editing (GE) technologies. These tools, including versatile CRISPR/Cas systems and their derivatives, such as base editors and prime editors, have significantly enhanced the universality, efficiency, and convenience of plant functional genomics, genetics, and molecular breeding. However, traditional genetic transformation methods are essential for obtaining GE plants. These methods depend on tissue culture procedures, which are time-consuming, labor-intensive, genotype-dependent, and challenging to regenerate. Here, we systematically outline current advancements in simplifying plant GE, focusing on the optimization of tissue culture process through developmental regulators, the development of

Indexed as

developmental regulatorsgenetic transformationin planta transformationnanomaterialsplant genome editingviral vector

Identifiers

PMID40265805
PMCPMC11944944

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.