Evidence map›Paper›PMID 41554885›Full record

ArticleNature plants2026

A CRISPR-based sequence proximity binding protein labelling system for scanning upstream regulatory proteins.

Lei Zhang, Chengcheng Cai, Qiujie Chen, Xiaoxu Tan, Shumin Chen, Kang Zhang, Feng Cheng

Abstract read
PubMed Publisher
In one paragraph

Article in Nature plants, 2026. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Lei Zhang *State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Chengcheng Cai *State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Qiujie Chen *State Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiaoxu TanState Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Shumin ChenState Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.
Kang ZhangState Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0002-3699-2860
Feng ChengState Key Laboratory of Vegetable Biobreeding, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops of the Ministry of Agriculture and Rural Affairs, Sino-Dutch Joint Laboratory of Horticultural Genomics, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing, China. chengfeng@caas.cn.ORCID 0000-0003-2982-9675

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32302570National Science Foundation of China | National Natural Science Foundation of China-Yunnan Joint Fund (NSFC-Yunnan Joint Fund) 31972411
6 · The paper itself

Abstract

Transcriptional regulation involves complex and dynamic protein-DNA interactions, which alter chromatin states and, consequently, regulate gene expression. In plants, current technologies face challenges in efficiently capturing dynamically DNA-binding proteins, especially transcription factors. Here, by leveraging the binding ability of dead Cas9 to specific DNA fragments and the labelling capacity of the TurboID protein for adjacent proteins, we have developed a CRISPR-based sequence proximity binding protein labelling system (CSPL) to detect promoter-binding proteins. Using this approach, we identified both known and novel upstream binding proteins on the PIF4 promoter in Arabidopsis, cabbage and rice. This demonstrates the powerful capabilities and broad potential applications of CSPL for detecting promoter-binding proteins in plants.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsDNA-Binding ProteinsPlant ProteinsArabidopsisArabidopsis ProteinsBrassicaGene Expression Regulation, PlantOryzaPromoter Regions, GeneticTranscription FactorsArabidopsis ProteinsDNA-Binding ProteinsPlant ProteinsTranscription Factors

Identifiers

PMID41554885

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.