ReviewJournal of traditional and complementary medicine2012
Application of transcriptomics in Chinese herbal medicine studies.
Review in Journal of traditional and complementary medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 20 citations in OpenAlex.
- Bridging Ethnobotanical Knowledge and Multi-Omics Approaches for Plant-Derived Natural Product Discovery.Metabolites · 2025Review
- An integrative pharmacology-based study on the pharmacological activity and mechanism of xiaoji-chenpi formula (XCF) against MAFLD.Frontiers in pharmacology · 2025Article
- Clinical effects of anweiyang capsule and Pinellia decoction for eradication of Helicobacter pylori and healing of peptic ulcers.AMB Express · 2024Article
- A Breakthrough Point in Integrative Medical Research: Challenge of Treating Overlapping Symptoms in Functional Gastrointestinal Disorders.Chinese journal of integrative medicine · 2022Article
- Transcriptome sequencing and characterization of Astragalus membranaceus var. mongholicus root reveals key genes involved in flavonoids biosynthesis.Genes & genomics · 2020Article
- Transcriptome analysis of Clinopodium gracile (Benth.) Matsum and identification of genes related to Triterpenoid Saponin biosynthesis.BMC genomics · 2020Article
- DNA Microarray-Based Screening and Characterization of Traditional Chinese Medicine.Microarrays (Basel, Switzerland) · 2017Review
- Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.Frontiers in pharmacology · 2017Review
- The Use of Omic Technologies Applied to Traditional Chinese Medicine Research.Evidence-based complementary and alternative medicine : eCAM · 2017Review
- DNA barcoding: an efficient tool to overcome authentication challenges in the herbal market.Plant biotechnology journal · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcriptomics using DNA microarray has become a practical and popular tool for herbal medicine study because of high throughput, sensitivity, accuracy, specificity, and reproducibility. Therefore, this article focuses on the overview of DNA microarray technology and the application of DNA microarray in Chinese herbal medicine study. To understand the number and the objectives of articles utilizing DNA microarray for herbal medicine study, we surveyed 297 frequently used Chinese medicinal herbs listed in Pharmacopoeia Commission of People's Republic of China. We classified these medicinal herbs into 109 families and then applied PudMed search using "microarray" and individual herbal family as keywords. Although thousands of papers applying DNA microarray in Chinese herbal studies have been published since 1998, most of the articles focus on the elucidation of mechanisms of certain biological effects of herbs. Construction of the bioactivity database containing large-scaled gene expression profiles of quality control herbs can be applied in the future to analyze the biological events induced by herbs, predict the therapeutic potential of herbs, evaluate the safety of herbs, and identify the drug candidate of herbs. Moreover, the linkage of systems biology tools, such as functional genomics, transcriptomics, proteomics, metabolomics, pharmacogenomics and toxicogenomics, will become a new translational platform between Western medicine and Chinese herbal medicine.
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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.