Evidence map›Paper›PMID 41854240›Full record

ReviewPlant biotechnology journal2026

Single-Cell CRISPR: An Efficient Strategy for Decoding Plant Cis-Regulatory Complexity.

Yuanhang Zhang, Xuanxuan Luo, Hongbin Li, Shuangxia Jin, Xianlong Zhang, Maojun Wang

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 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.

Yuanhang ZhangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Xuanxuan LuoNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Hongbin LiCollege of Life Science, Shihezi University, Shihezi, China.
Shuangxia JinNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.ORCID https://orcid.org/0000-0002-1495-9154
Xianlong ZhangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Maojun WangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.ORCID https://orcid.org/0000-0003-1788-1361

Funding

National Key Research and Development Program of China 2021YFF1000900Tianchi Talent Introduction Plan of Xinjiang Uyghur Autonomous RegionXinjiang Uyghur Autonomous Region 2023A01
6 · The paper itself

Abstract

The generation of complex traits involves the coordinated interplay of multiple gene networks. Elucidating the function of transcriptional cis-regulatory elements (CREs) in regulating gene expression is crucial for understanding complex regulatory pathways and improving our ability to modify macro-phenotypes. While traditional bulk sequencing approaches rely on tissue or cell population aggregates, single-cell transcriptomics provides a more precise perspective by capturing cell-type-specific information. The integration of single-cell technology with genome-wide genetic screening, particularly through the single-cell CRISPR (scCRISPR) system, enables the identification of critical regulatory elements and provides novel insights into gene-expression control mechanisms. Here, we summarise recent advances in diverse strategies for functional genome analysis using the scCRISPR system, with an emphasis on its potential to revolutionise single-cell genetic screening of CREs. We also explore the challenges and opportunities for applying these approaches in plant research.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsPlantsRegulatory Sequences, Nucleic AcidSingle-Cell AnalysisGene Expression Regulation, PlantGene Regulatory NetworksSingle-Cell Gene Expression Analysiscis‐regulatory elementgenetic screenphenotype selectionregulatory networksingle‐cell CRISPR

Identifiers

PMID41854240
PMCPMC13278549

What OpenQuestion holds

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LicenceCC BY-NC
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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.