Evidence map›Paper›PMID 37561662›Full record

ArticlePlant biotechnology journal2023

High-throughput MALDI-MSI metabolite analysis of plant tissue microarrays.

Hangjun Huang, Haiqiang Liu, Weiwei Ma, Liang Qin, Lulu Chen, Hua Guo, Hualei Xu, Jinrong Li, Chenyu Yang, Hao Hu and 6 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

16 authors.

Hangjun Huang *College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Haiqiang Liu *College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Weiwei Ma *College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Liang QinCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Lulu ChenCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.ORCID 0000-0003-2620-4178
Hua GuoCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Hualei XuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Jinrong LiCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Chenyu YangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Hao HuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Ran WuCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Difan ChenCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Jinchao FengCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Yijun ZhouCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Junli WangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Xiaodong WangCollege of Life and Environmental Sciences, Minzu University of China, Beijing, China.ORCID 0000-0002-1045-583X

Funding

Double World-First Class Development Program of MUC Yldxxk201819Huayi Technology Innovation Center for Research Resources HTIC P01 RR2017001AKey Laboratory Construction Funds of State Ethnic Affairs Commission of P. R. China 10301-02200303National Natural Science Foundation of China 21605164National Natural Science Foundation of China 31770384Youth Academic Team Project of MUC 10301-02200301Youth Elite Project of National Ethnic Affairs Commission of P. R. China 10301-0190040110
6 · The paper itself

Abstract

A novel metabolomics analysis technique, termed matrix-assisted laser desorption/ionization mass spectrometry imaging-based plant tissue microarray (MALDI-MSI-PTMA), was successfully developed for high-throughput metabolite detection and imaging from plant tissues. This technique completely overcomes the disadvantage that metabolites cannot be accessible on an intact plant tissue due to the limitations of the special structures of plant cells (e.g. epicuticular wax, cuticle and cell wall) through homogenization of plant tissues, preparation of PTMA moulds and matrix spraying of PTMA sections. Our study shows several properties of MALDI-MSI-PTMA, including no need of sample separation and enrichment, high-throughput metabolite detection and imaging (>1000 samples per day), high-stability mass spectrometry data acquisition and imaging reconstruction and high reproducibility of data. This novel technique was successfully used to quickly evaluate the effects of two plant growth regulator treatments (i.e. 6-benzylaminopurine and N-phenyl-N'-1,2,3-thiadiazol-5-ylurea) on endogenous metabolite expression in plant tissue culture specimens of Dracocephalum rupestre Hance (D. rupestre). Intra-day and inter-day evaluations indicated that the metabolite data detected on PTMA sections had good reproducibility and stability. A total of 312 metabolite ion signals in leaves tissues of D. rupestre were detected, of which 228 metabolite ion signals were identified, they were composed of 122 primary metabolites, 90 secondary metabolites and 16 identified metabolites of unknown classification. The results demonstrated the advantages of MALDI-MSI-PTMA technique for enhancing the overall detection ability of metabolites in plant tissues, indicating that MALDI-MSI-PTMA has the potential to become a powerful routine practice for high-throughput metabolite study in plant science.

Indexed as

MetabolomicsPlantsQuaternary Ammonium CompoundsReproducibility of ResultsSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization3-hydroxyphenyltrimethylammoniumQuaternary Ammonium Compoundshigh-throughputMALDImass spectrometry imagingmetabolitePlant tissue microarray

Identifiers

PMID37561662
PMCPMC10651148

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Registered trials

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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.