Evidence map›Paper›PMID 41724975›Full record

ArticleGenome biology2026

Integrating scRNA-seq and snRNA-seq with spatial transcriptomics to unlock the xylem puzzle.

Mingke Wei, Jo-Wei Allison Hsieh, Jr-Fong Dang, Botong Tong, Hui Li, Ronald Sederoff, Ying-Chung Jimmy Lin, Quanzi Li

Abstract read
In one paragraph

Article in Genome biology, 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

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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.

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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

8 authors.

Mingke Wei *National Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang Key Laboratory of Forest Genetics and Breeding, International Research Center for Plant Cell Wall, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China.
Jo-Wei Allison Hsieh *The Genome Center, University of California, Davis, CA, USA.
Jr-Fong Dang *Graduate Institute of Intelligent Manufacturing Technology, National Taiwan University of Science and Technology, Taipei, Taiwan.
Botong TongInstitute of Industrial Crops, Heilongjiang Academy of Agricultural Sciences, Harbin, China.
Hui LiCollege of Forestry, Inner Mongolia Agricultural University, Hohhot, China.
Ronald SederoffForest Biotechnology Group, Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA.
Ying-Chung Jimmy LinDepartment of Life Science, College of Life Science, National Taiwan University, Taipei, Taiwan. YCJimmyLin@ntu.edu.tw.
Quanzi LiNational Key Laboratory for Development and Utilization of Forest Food Resources, Zhejiang Key Laboratory of Forest Genetics and Breeding, International Research Center for Plant Cell Wall, College of Forestry and Biotechnology, Zhejiang A&F University, Hangzhou, China. liqz@zafu.edu.cn.

Funding

National Natural Science Foundation of China 32572084Scientific Research Foundation of Zhejiang A and F University 2024LFR088
6 · The paper itself

Abstract

backgroundXylem development is a dynamic, continuous process fundamental to secondary growth in woody plants and to biomass accumulation on earth. While single-cell RNA sequencing (scRNA-seq) enables reconstruction of early xylem differentiation trajectories, its reliance on protoplast isolation excludes late-stage cells with thickened secondary cell walls, leaving key phases such as secondary cell wall deposition and programmed cell death poorly characterized.

resultsWe perform single-nucleus RNA sequencing (snRNA-seq) of the stem-developing xylem of Populus and integrate previous scRNA-seq datasets to reconstruct a comprehensive developmental landscape of xylem formation. Anatomical validation confirms that scRNA-seq profiles predominantly represent early-stage stem-developing xylem, while snRNA-seq enriches for deeper, secondary cell wall depositing layers. Integrated analysis reveals a spatially and transcriptionally defined secondary cell wall zone, supported by both lignin autofluorescence and its correlation with laser capture microdissection-derived transcriptomes. Differential expression and gene ontology analyses uncover enrichment for lignin biosynthesis and programmed cell death associated genes, suggesting that secondary cell wall formation and programmed cell death initiation are transcriptionally coordinated. Unsupervised clustering and machine learning by support vector machine classification further reveal greater transcriptomic heterogeneity among early-stage xylem cells compared to late-stage cells.

conclusionsOur findings demonstrate the high compatibility and complementarity of scRNA-seq and snRNA-seq platforms. This integrated approach not only overcomes key limitations of individual technologies but also provides a practical and scalable framework for resolving complex developmental trajectories in plants. It successfully reconstructs the full continuum of xylem development, from cambial progenitors through secondary cell wall formation and to programmed cell death.

Indexed as

PopulusRNA, Small NuclearTranscriptomeXylemCell WallGene Expression ProfilingGene Expression Regulation, PlantLigninRNA-SeqSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpatial TranscriptomicsLigninRNA, Small NuclearLaser capture microdissectionMachine learningProgrammed cell deathSecondary cell wallSingle-cell RNA-seqSingle-nucleus RNA-seqSpatial transcriptomeXylem development

Identifiers

PMID41724975
PMCPMC13036908

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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.