ReviewBiomolecules2020
Biotechnological Interventions for Ginsenosides Production.
Review in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 43 citations in OpenAlex.
- PnWRKY38-PnSUS1 axis regulates the biosynthesis ofHorticulture research · 2026Article
- Investigation of Growth and Ginsenoside Content of Wild-Simulated Ginseng Cultivated in Different Vegetation Environments for Establishing a Plant Growth Model.Plants (Basel, Switzerland) · 2025Article
- Article
- Biotransformation of ginsenoside compound K using β-glucosidase in deep eutectic solvents.Bioprocess and biosystems engineering · 2024Article
- The Potential of Korean Bioactive Substances and Functional Foods for Immune Enhancement.International journal of molecular sciences · 2024Review
- Active Compounds ofPharmaceuticals (Basel, Switzerland) · 2023Review
- Total Content of Saponins, Phenols and Flavonoids and Antioxidant and Antimicrobial Activity of In Vitro Culture ofPlants (Basel, Switzerland) · 2023Article
- In Vitro Cultivation and Ginsenosides Accumulation inPlants (Basel, Switzerland) · 2023Review
- Promoting Photosynthetic Production of Dammarenediol-II inInternational journal of molecular sciences · 2023Article
- Root Cultures, a Boon for the Production of Valuable Compounds: A Comparative Review.Plants (Basel, Switzerland) · 2022Review
- Integrated Metabolomic and Transcriptomic Analysis and Identification of Dammarenediol-II Synthase Involved in Saponin Biosynthesis inFrontiers in plant science · 2022Article
- Ginsenosides inActa pharmaceutica Sinica. B · 2021Review
- PlantFrontiers in plant science · 2021Review
- Age-Dependent and Tissue-Specific Alterations in the rDNA Clusters of theBiomolecules · 2020Article
- Advances in Ginsenosides.Biomolecules · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ginsenosides are secondary metabolites that belong to the triterpenoid or saponin group. These occupy a unique place in the pharmaceutical sector, associated with the manufacturing of medicines and dietary supplements. These valuable secondary metabolites are predominantly used for the treatment of nervous and cardiac ailments. The conventional approaches for ginsenoside extraction are time-consuming and not feasible, and thus it has paved the way for the development of various biotechnological approaches, which would ameliorate the production and extraction process. This review delineates the biotechnological tools, such as conventional tissue culture, cell suspension culture, protoplast culture, polyploidy, in vitro mutagenesis, hairy root culture, that have been largely implemented for the enhanced production of ginsenosides. The use of bioreactors to scale up ginsenoside yield is also presented. The main aim of this review is to address the unexplored aspects and limitations of these biotechnological tools, so that a platform for the utilization of novel approaches can be established to further increase the production of ginsenosides in the near future.
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What OpenQuestion holds
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.