Evidence map›Paper›PMID 37231648›Full record

ArticlePlant communications2023

Mass spectrometry imaging and single-cell transcriptional profiling reveal the tissue-specific regulation of bioactive ingredient biosynthesis in Taxus leaves.

Xiaori Zhan, Tian Qiu, Hongshan Zhang, Kailin Hou, Xueshuang Liang, Cheng Chen, Zhijing Wang, Qicong Wu, Xiaojia Wang, Xiao-Lin Li and 6 more

Open access · goldAbstract read
In one paragraph

Article in Plant communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 52 citations in OpenAlex.

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  17. Transcriptome and Metabolome Analyses ofPlants (Basel, Switzerland) · 2025
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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

16 authors at 2 institutions in 1 country.

Xiaori ZhanCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Tian QiuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Hongshan ZhangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China; Kharkiv Institute, Hangzhou Normal University, Hangzhou 311121, China.
Kailin HouCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Xueshuang LiangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Cheng ChenCollege of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Zhijing WangCollege of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China.
Qicong WuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Xiaojia WangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China.
Xiao-Lin LiState Key Laboratory Breeding Base of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Mingshuang WangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Shangguo FengCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Houqing ZengCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Kharkiv Institute, Hangzhou Normal University, Hangzhou 311121, China.
Chunna YuCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China.
Huizhong WangCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China. Electronic address: whz62@163.com.
Chenjia ShenCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 311121, China; Zhejiang Provincial Key Laboratory for Genetic Improvement and Quality Control of Medicinal Plants, Hangzhou Normal University, Hangzhou 311121, China; Kharkiv Institute, Hangzhou Normal University, Hangzhou 311121, China. Electronic address: shencj@hznu.edu.cn.
Hangzhou Normal University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxus leaves provide the raw industrial materials for taxol, a natural antineoplastic drug widely used in the treatment of various cancers. However, the precise distribution, biosynthesis, and transcriptional regulation of taxoids and other active components in Taxus leaves remain unknown. Matrix-assisted laser desorption/ionization-mass spectrometry imaging analysis was used to visualize various secondary metabolites in leaf sections of Taxus mairei, confirming the tissue-specific accumulation of different active metabolites. Single-cell sequencing was used to produce expression profiles of 8846 cells, with a median of 2352 genes per cell. Based on a series of cluster-specific markers, cells were grouped into 15 clusters, suggesting a high degree of cell heterogeneity in T. mairei leaves. Our data were used to create the first Taxus leaf metabolic single-cell atlas and to reveal spatial and temporal expression patterns of several secondary metabolic pathways. According to the cell-type annotation, most taxol biosynthesis genes are expressed mainly in leaf mesophyll cells; phenolic acid and flavonoid biosynthesis genes are highly expressed in leaf epidermal cells (including the stomatal complex and guard cells); and terpenoid and steroid biosynthesis genes are expressed specifically in leaf mesophyll cells. A number of novel and cell-specific transcription factors involved in secondary metabolite biosynthesis were identified, including MYB17, WRKY12, WRKY31, ERF13, GT_2, and bHLH46. Our research establishes the transcriptional landscape of major cell types in T. mairei leaves at a single-cell resolution and provides valuable resources for studying the basic principles of cell-type-specific regulation of secondary metabolism.

Indexed as

TaxusMass SpectrometryPaclitaxelPlant LeavesTaxoidsPaclitaxelTaxoidsscRNA-seqsecondary metabolismtaxol biosynthesisTaxus maireitranscription regulation

Identifiers

PMID37231648
PMCPMC10504593
OpenAlexW4378211594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.