Article(id=1322631256169366204, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1322631228000424183, articleNumber=null, orderNo=null, doi=10.7501/j.issn.0253-2670.2026.18.029, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1772726400000, receivedDateStr=2026-03-06, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793269464771, onlineDateStr=2026-10-29, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793269464771, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793269464771, creator=13701087609, updateTime=1793269464771, updator=13701087609, issue=Issue{id=1322631228000424183, tenantId=1146029695717560320, journalId=1302319053441957962, year='2026', volume='57', issue='18', pageStart='7073', pageEnd='7500', issueExtLink='null', onlineDate='null', pubDate='1790524800000', pubDateStr='2026-09-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793269458054, creator='13701087609', updateTime=1793269548245, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322631606339228314, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1322631228000424183, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322631606339228315, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1322631228000424183, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=7431, endPage=7440, ext={EN=ArticleExt(id=1322631256517493438, articleId=1322631256169366204, tenantId=1146029695717560320, journalId=1302319053441957962, language=EN, title=Study on cell population composition of Rehmannia glutinosa tuberous roots based on spatial transcriptomics, columnId=null, journalTitle=Chinese Traditional and Herbal Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=Objective Using cultivar 85-5 as the experimental material, Stereo-seq spatial transcriptomics technology was employed to analyze the in situ gene expression patterns of tuberous roots, thereby revealing the spatial heterogeneity of gene expression in root cells. Methods The optimal permeabilization duration was determined by fluorescence intensity and grayscale quantification, and the best bin resolution was identified by comparing gene detection efficiency and cell clustering performance across multiple parameter groups. Principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) were used for cell clustering. Cluster-specific differentially expressed genes (DEGs) were identified using the Seurat package, and qRT-PCR was performed to validate the reliability of spatial transcriptomic data. Results The optimal permeabilization time for frozen sections of R. glutinosa tuberous roots is 18 min, and a bin size of 200 is more suitable for the analysis of macroscopic cell populations in R. glutinosa tuberous roots. Root cells of R. glutinosa were classified into five distinct populations with unique spatial localization via PCA and UMAP. Specifically, clusters 1 and 2 were predominantly distributed in the phloem, cluster 3 in the periderm, and cluster 4 in the cambium. The qRT-PCR verified that gene DH2020-016897 was specifically expressed in the periderm, whereas DH2020-009767 and DH2020-009768 exhibited predominant expression in the cambium. Conclusion In this study, we established a high-resolution spatial transcriptomic atlas of R. glutinosa tuberous roots, delineating spatial distribution patterns of individual cell clusters and the expression profiles of key genes. These findings provide a fundamental resource for exploring tuberous roots development, secondary metabolite biosynthesis, and spatially resolved molecular regulatory networks underlying stress responses in R. glutinosa., authors=ZHANG Pengyu1, ZHOU Mengjie1, GAO Junge1, HU Jingyi1, HAO Qiuwen1, DING Ning1, WANG Fengqing1, authorsList=ZHANG Pengyu, ZHOU Mengjie, GAO Junge, HU Jingyi, HAO Qiuwen, DING Ning, WANG Fengqing, authorCompany=1 College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322631256412635837, articleId=1322631256169366204, tenantId=1146029695717560320, journalId=1302319053441957962, language=CN, title=基于空间转录组的地黄块根细胞群体组成研究, columnId=1304140203967410414, journalTitle=中草药, columnName=药材与资源, runingTitle=null, highlight=null, articleAbstract=目的 以地黄Rehmannia glutinosa品种85-5为试验材料,借助Stereo-seq空间转录组技术解析地黄块根基因原位表达模式,揭示块根细胞的表达空间异质性。方法 通过荧光信号与灰度值分析筛选地黄块根的最优透化时间和透化条件,对比不同Bin分辨率的基因检出量与细胞聚类效果确定适配地黄块根分析的最佳Bin参数,利用主成分分析(principal component analysis,PCA)降维与均匀流形近似与投影(uniform manifold approximation and projection,UMAP)聚类方法完成块根细胞类群划分,利用Seurat软件筛选各细胞类群差异表达基因,以qRT-PCR验证空间转录组分析结果的可靠性。结果 18 min为地黄块根冷冻切片的最佳透化时间。Bin 200分辨率更适用于地黄块根的宏观细胞类群的解析。经PCA降维和UMAP聚类,将地黄块根划分为5个细胞类群,各细胞类群具有明显空间区位特异性,其中类群1和类群2主要分布于韧皮部,类群3主要分布于周皮,类群4则主要分布于形成层。qRT-PCR结果显示,DH2020-016897为周皮特异表达的基因,DH2020-009767和DH2020-009768在形成层中优势表达。结论 成功构建了地黄块根空间转录组图谱,揭示了不同细胞类群的空间分布格局与部分基因的表达特征,为深入解析地黄块根发育、次生代谢产物的合成及逆境应答的空间分子调控机制提供了重要参考。, authors=张朋雨1, 周梦杰1, 高俊鸽1, 胡靖翊1, 郝秋雯1, 丁宁1, 王丰青1, authorsList=张朋雨, 周梦杰, 高俊鸽, 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Ståhl P L, Salmén F, Vickovic S, et al. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics[J]. Science, 2016, 353(6294):78-82.
Liu C, Li R, Li Y, et al. Spatiotemporal mapping of gene expression landscapes and developmental trajectories during zebrafish embryogenesis[J]. Dev Cell, 2022,57(10):1284-1298.
Xia K K, Sun H X, Li J, et al. The single-cell stereo-seq reveals region-specific cell subtypes and transcriptome profiling in Arabidopsis leaves[J]. Dev Cell, 2022, 57(10):1299-1310.e4.
Wang Y B, Luo Y, Guo X, et al. A spatial transcriptome map of the developing maize ear[J]. Nat Plants, 2024,10(5):815-827.
Dong Z N, Liu X L, Guo X, et al. Developmental innovation of inferior ovaries and flower sex orchestrated by KNOX1 in cucurbits[J]. Nat Plants, 2025, 11(4):861-877.
Yao J, Chu Q J, Guo X, et al. Spatiotemporal transcriptomic landscape of rice embryonic cells during seed germination[J]. Dev Cell, 2024, 59(17):2320-2332.e5.
Fu X Q, Zhang Y J, Yu M Y, et al. Specialized structures and developmental mechanisms of secondary metabolitesynthesizing organs and tissues in medicinal plants[J]. J Integr Plant Biol, 2026, 68(4):926-941.
Zhang M H, Li M Y, An Y Y, et al. Single-nucleus transcriptomics reveal the morphogenesis and artemisinin biosynthesis in Artemisia annua glandular trichomes[J]. Nat Commun, 2025, 16(1):8646.
Wang R B, Zhang L Y, Li X, et al. Single-cell sequencing and mass spectrometry imaging reveal the multicellular compartmentalization map of plant triterpenes:A ginsenoside in Panax ginseng example[J]. Plant Biotechnol J, 2025, 23(10):4461-4476.
Zeng H S, Shi M H, Chen Z R, et al. Mass spectrometry imaging combined with single-cell transcriptional profiling reveals the multidimensional spatial distributions and biosynthetic pathways of medicinal components in Andrographis paniculata[J]. Plant Biotechnol J, 2026,24(5):2876-2890.
王太霞,司源,李景原,等.怀地黄块根内含梓醇结构的组织化学和超微结构研究[J]. 西北植物学报, 2005,25(5):928-931.
王丰青,王丽娜,智惊宇,等.不同品种地黄中毛蕊花糖苷的动态积累规律变化[J]. 中国实验方剂学杂志,2017, 23(24):78-83.
Zhong L W, Sun P, et al. Rehmannins A–D, anti-inflammatory carotenoid pigments from the fresh root of Rehmannia glutinosa[J]. Org Lett, 2026, 28(4):1153-1158.
张志鹏,徐杰,刘佩仪,等.基于标准汤剂的鲜地黄配方颗粒质量标准研究[J]. 中草药, 2023, 54(4):1127-1137.
Yang R X, Du Y Y, Fang Z Y, et al. Transcriptome profiling of Rehmannia glutinosa uncovers ABA/GA antagonism mechanisms in tuberous root initiation[J]. Funct Integr Genomics, 2026, 26(1):68.)
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基于空间转录组的地黄块根细胞群体组成研究
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中草药 | 药材与资源 2026,57(18): 7431-7440
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中草药 |药材与资源 2026 , 57 (18) : 7431 -7440
基于空间转录组的地黄块根细胞群体组成研究
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张朋雨1, 周梦杰1, 高俊鸽1, 胡靖翊1, 郝秋雯1, 丁宁1, 王丰青1
作者信息
    1 河南农业大学农学院, 河南 郑州 450046
通讯作者:
王丰青
作者简介:
张朋雨: 张朋雨,硕士研究生,研究方向为药用植物资源可持续利用。E-mail:lanqingxuan123@outlook.com
Study on cell population composition of Rehmannia glutinosa tuberous roots based on spatial transcriptomics
  • ZHANG Pengyu1, ZHOU Mengjie1, GAO Junge1, HU Jingyi1, HAO Qiuwen1, DING Ning1, WANG Fengqing1
  • Affiliations
      1 College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China
    doi: 10.7501/j.issn.0253-2670.2026.18.029
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    目的 以地黄Rehmannia glutinosa品种85-5为试验材料,借助Stereo-seq空间转录组技术解析地黄块根基因原位表达模式,揭示块根细胞的表达空间异质性。方法 通过荧光信号与灰度值分析筛选地黄块根的最优透化时间和透化条件,对比不同Bin分辨率的基因检出量与细胞聚类效果确定适配地黄块根分析的最佳Bin参数,利用主成分分析(principal component analysis,PCA)降维与均匀流形近似与投影(uniform manifold approximation and projection,UMAP)聚类方法完成块根细胞类群划分,利用Seurat软件筛选各细胞类群差异表达基因,以qRT-PCR验证空间转录组分析结果的可靠性。结果 18 min为地黄块根冷冻切片的最佳透化时间。Bin 200分辨率更适用于地黄块根的宏观细胞类群的解析。经PCA降维和UMAP聚类,将地黄块根划分为5个细胞类群,各细胞类群具有明显空间区位特异性,其中类群1和类群2主要分布于韧皮部,类群3主要分布于周皮,类群4则主要分布于形成层。qRT-PCR结果显示,DH2020-016897为周皮特异表达的基因,DH2020-009767和DH2020-009768在形成层中优势表达。结论 成功构建了地黄块根空间转录组图谱,揭示了不同细胞类群的空间分布格局与部分基因的表达特征,为深入解析地黄块根发育、次生代谢产物的合成及逆境应答的空间分子调控机制提供了重要参考。
    地黄  /  块根  /  空间转录组测序  /  细胞群  /  实时荧光定量PCR
    Objective Using cultivar 85-5 as the experimental material, Stereo-seq spatial transcriptomics technology was employed to analyze the in situ gene expression patterns of tuberous roots, thereby revealing the spatial heterogeneity of gene expression in root cells. Methods The optimal permeabilization duration was determined by fluorescence intensity and grayscale quantification, and the best bin resolution was identified by comparing gene detection efficiency and cell clustering performance across multiple parameter groups. Principal component analysis (PCA) and uniform manifold approximation and projection (UMAP) were used for cell clustering. Cluster-specific differentially expressed genes (DEGs) were identified using the Seurat package, and qRT-PCR was performed to validate the reliability of spatial transcriptomic data. Results The optimal permeabilization time for frozen sections of R. glutinosa tuberous roots is 18 min, and a bin size of 200 is more suitable for the analysis of macroscopic cell populations in R. glutinosa tuberous roots. Root cells of R. glutinosa were classified into five distinct populations with unique spatial localization via PCA and UMAP. Specifically, clusters 1 and 2 were predominantly distributed in the phloem, cluster 3 in the periderm, and cluster 4 in the cambium. The qRT-PCR verified that gene DH2020-016897 was specifically expressed in the periderm, whereas DH2020-009767 and DH2020-009768 exhibited predominant expression in the cambium. Conclusion In this study, we established a high-resolution spatial transcriptomic atlas of R. glutinosa tuberous roots, delineating spatial distribution patterns of individual cell clusters and the expression profiles of key genes. These findings provide a fundamental resource for exploring tuberous roots development, secondary metabolite biosynthesis, and spatially resolved molecular regulatory networks underlying stress responses in R. glutinosa.
    Rehmannia glutinosa Libosch.  /  tuberous root  /  spatial transcriptomics  /  cell cluster  /  real-time quantitative PCR
    张朋雨, 周梦杰, 高俊鸽, 胡靖翊, 郝秋雯, 丁宁, 王丰青. 基于空间转录组的地黄块根细胞群体组成研究. 中草药, 2026 , 57 (18) : 7431 -7440 . DOI: 10.7501/j.issn.0253-2670.2026.18.029
    ZHANG Pengyu, ZHOU Mengjie, GAO Junge, HU Jingyi, HAO Qiuwen, DING Ning, WANG Fengqing. Study on cell population composition of Rehmannia glutinosa tuberous roots based on spatial transcriptomics[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (18) : 7431 -7440 . DOI: 10.7501/j.issn.0253-2670.2026.18.029

      国家自然科学基金项目 (82373985); 中央本级重大增减支项目“名贵中药资源可持续利用能力建设项目” (2060302)

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    doi: 10.7501/j.issn.0253-2670.2026.18.029
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    2种不同金属材料的力学参数
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    鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
    小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
    多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
    红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
    小菇属 Mycena 11 5.26
    光柄菇属 Pluteus 5 2.39
    红菇属 Russula 17 8.13
    栓菌属 Trametes 5 2.39
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