ArticleChinese herbal medicines2023
Article in Chinese herbal medicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Integrated GC-MS and UPLC-Q-Orbitrap MS untargeted metabolomics for the comprehensive identification of metabolites and characterization of metabolic pathways in key tissues ofFood chemistry: X · 2026Article
- Comparative Analysis of Volatile Compounds and Characterization of Key Flavor Compounds inFoods (Basel, Switzerland) · 2026Article
- Integrated metabolomics and transcriptomics analysis comprehensively revealed the underlying metabolite mechanism difference between Male and Female Eucommia ulmoides Oliver.BMC plant biology · 2025Article
- Calcium dysregulation disrupts mitochondrial homeostasis by interfering AMPK/Drp1 pathway to aggravate plaque progression and instability.Theranostics · 2025Article
- Multi-omics analysis reveals ThMYB6 regulation of flavonoid biosynthesis in differently colored tuberous roots ofFrontiers in plant science · 2025Article
- Unveiling the Role of β-Glucosidase Genes inInternational journal of molecular sciences · 2024Article
- Integrated transcriptomics and metabolomics analysis provides insights into aromatic volatiles formation in Cinnamomum cassia bark at different harvesting times.BMC plant biology · 2024Article
- Integrated metabolomic and transcriptomic analyses revealed metabolite variations and regulatory networks inFrontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The barks, leaves, and branches of Methods: Chemical analysis, metabolome sequencing, and transcriptome sequencing were performed to investigate the molecular mechanisms underlying the difference of active components content in the barks, branches and leaves of Results: Metabolomic analysis revealed that small amounts of flavonoids, coumarine, and cinnamaldehyde accumulated in both leaves and branches. Transcriptome analysis showed that genes associated with phenylpropanoid and flavonoid biosynthesis were downregulated in the leaves and branches relative to the barks. The observed differences in essential oil content among the three tissues may be attributable to the differential expression of genes involved in the phenylpropanoid and flavonoid metabolic pathways. Conclusion: This study identified the key genes in the phenylpropanoid pathway controling the flavonoid, coumarine, and cinnamaldehyde contents in the barks, branches and leaves by comparing the transcriptome and metabolome
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Registered trials
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.