Evidence map›Paper›PMID 42050196›Full record

ArticleNature plants2026

Single-cell chromatin accessibility and cis-regulatory element analyses in plants using the scPlantReg platform.

Haidong Yan, Yarong Jin, Chengran Wang, Xinxin Zhang, Jiyuan Jia, Xiaofang Cao, Alexandre P Marand, Mao Xia, Xuan Zhang, Yun Zhong and 10 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Haidong Yan *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China. yanhaidong1991@163.com.ORCID http://orcid.org/0000-0002-9903-2672
Yarong Jin *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.
Chengran Wang *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0002-3515-9049
Xinxin Zhang *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.
Jiyuan Jia *College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0007-3853-711X
Xiaofang Cao *Novogene Bioinformatics Institute, Beijing, China.
Alexandre P MarandDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0001-9100-8320
Mao XiaCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0002-1610-435X
Xuan ZhangDepartment of Genetics, University of Georgia, Athens, GA, USA.ORCID http://orcid.org/0000-0002-6635-371X
Yun ZhongCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0007-9306-4589
Xin TangCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0005-3444-8553
Qiang ZhaiCollege of Information Engineering, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0000-0001-5328-675X
Tao LiuCollege of Information Engineering, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0000-0002-9500-1465
Shilin TianNovogene Bioinformatics Institute, Beijing, China.ORCID http://orcid.org/0000-0001-8958-1806
Xiaoqin LiCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China.ORCID http://orcid.org/0009-0008-8820-3019
Xiang LiDepartment of Genetics, University of Georgia, Athens, GA, USA.ORCID http://orcid.org/0000-0003-0257-6110
Jie YaoDepartment of Genetics, University of Georgia, Athens, GA, USA.
Robert J SchmitzDepartment of Genetics, University of Georgia, Athens, GA, USA. schmitz@uga.edu.ORCID http://orcid.org/0000-0001-7538-6663
Zhaoming WangNational Technology Innovation Center for Prataculture, Inner Mongolia Pratacultural Technology Innovation Center Co. Ltd, Hohhot, China. wzm_mcst2025@163.com.ORCID http://orcid.org/0009-0001-2012-4639
Linkai HuangCollege of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, China. huanglinkai@sicau.edu.cn.ORCID http://orcid.org/0000-0001-7810-4852

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding gene regulation is fundamental to plant improvement. However, the lack of plant-specific single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) frameworks and cross-species databases has limited insights into cell-type-specific cellular regulation. Here we present 'scPlantReg', an integrated framework and database for plant scATAC-seq data. scPlantReg supports end-to-end analyses from raw data processing to biological interpretation and features 'scATACtor', a supervised machine-learning approach that outperforms existing tools for cell-type annotation. We applied scPlantReg to pearl millet to characterize cell-type-specific chromatin accessibility and identify validated activating and repressing accessible chromatin regions (ACRs), revealing WRKY transcription factors as potential regulators of xylem development. Furthermore, we reanalysed scATAC-seq datasets from 8 plant species, spanning 11 tissues and multiple developmental stages, enabling cross-species comparisons. These analyses uncovered conserved regulatory programmes, including AP2/EREBP-associated ACRs linked to cell wall development and cell-type-conserved TFs across grasses. Collectively, scPlantReg provides a general framework and resource for comparative regulatory analysis in plants.

Indexed as

ChromatinGene Expression Regulation, PlantPlantsRegulatory Sequences, Nucleic AcidSingle-Cell AnalysisTranscription FactorsChromatinTranscription Factors

Identifiers

PMID42050196

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.