Evidence map›Paper›PMID 38634607›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Multiome in the Same Cell Reveals the Impact of Osmotic Stress on Arabidopsis Root Tip Development at Single-Cell Level.

Qing Liu, Wei Ma, Ruiying Chen, Shang-Tong Li, Qifan Wang, Cai Wei, Yiguo Hong, Hai-Xi Sun, Qi Cheng, Jianjun Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

20 citing papers in PubMed, 18 citations in OpenAlex.

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  5. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
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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

11 authors at 4 institutions in 2 countries.

Qing LiuState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.ORCID 0009-0008-0830-622X
Wei MaState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.
Ruiying ChenBGI Research, Beijing, 102601, China.
Shang-Tong LiGlbizzia Biosciences, Beijing, 102609, China.
Qifan WangState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.
Cai WeiBGI Research, Beijing, 102601, China.
Yiguo HongState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.
Hai-Xi SunBGI Research, Beijing, 102601, China.
Qi ChengState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.
Jianjun ZhaoState Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Ministry of Education of China-Hebei Province Joint Innovation Center for Efficient Green Vegetable Industry, International Joint R & D Center of Hebei Province in Modern Agricultural Biotechnology, College of Life Sciences, College of Horticulture, Hebei Agricultural University, Baoding, 071000, China.
Jingmin KangBGI Research, Beijing, 102601, China.ORCID 0009-0006-5901-5268
Hebei Agricultural University · CNBGI Group (China) · CNBeijing Graphene Institute · CNBioscience (China) · CN

Funding

National Natural Science Foundation of China 32202505National Natural Science Foundation of China 32222076S&T Program of Hebei 23567601HState Key Laboratory of North China Crop Improvement and Regulation NCCIR2023ZZ-18
6 · The paper itself

Abstract

Cell-specific transcriptional regulatory networks (TRNs) play vital roles in plant development and response to environmental stresses. However, traditional single-cell mono-omics techniques are unable to directly capture the relationships and dynamics between different layers of molecular information within the same cells. While advanced algorithm facilitates merging scRNA-seq and scATAC-seq datasets, accurate data integration remains a challenge, particularly when investigating cell-type-specific TRNs. By examining gene expression and chromatin accessibility simultaneously in 16,670 Arabidopsis root tip nuclei, the TRNs are reconstructed that govern root tip development under osmotic stress. In contrast to commonly used computational integration at cell-type level, 12,968 peak-to-gene linkage is captured at the bona fide single-cell level and construct TRNs at an unprecedented resolution. Furthermore, the unprecedented datasets allow to more accurately reconstruct the coordinated changes of gene expression and chromatin states during cellular state transition. During root tip development, chromatin accessibility of initial cells precedes gene expression, suggesting that changes in chromatin accessibility may prime cells for subsequent differentiation steps. Pseudo-time trajectory analysis reveal that osmotic stress can shift the functional differentiation of trichoblast. Candidate stress-related gene-linked cis-regulatory elements (gl-cCREs) as well as potential target genes are also identified, and uncovered large cellular heterogeneity under osmotic stress.

Indexed as

ArabidopsisOsmotic PressureGene Expression Regulation, PlantGene Regulatory NetworksMeristemPlant RootsSingle-Cell AnalysisArabidopsis root tiposmotic stresssingle‐nucleus multi‐omicstranscriptional regulatory networks

Identifiers

PMID38634607
PMCPMC11199978
OpenAlexW4394921257

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.