Dataset Information

Chemical profile dataset of Cornus officinalis from multiple sources using HPLC/MS.

ABSTRACT: This article displays raw data linked to the research article "Compositional Analysis and Biological Characterization of Cornus officinalis on Human 1.1B4 Pancreatic β Cells" [1]. This data was generated by utilizing HPLC/(+and -)ESI-MSn on Cornus officinalis (CO) from four independent sources [1]. The aim was to identify the chemical profile of CO from multiple sources to compare the similarities and differences resulting from various processing methods, and compile a list of known and novel constituents to elucidate the bioactive ingredients. This report contains the full chromatogram and a raw list of the constituents found in CO including chemical name, retention time, and molecular weight from all four sources. All data from HPLC/MS analysis is raw and unprocessed.

SUBMITTER: Sharp-Tawfik AE

PROVIDER: S-EPMC6722233 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Chemical profile dataset of <i>Cornus officinalis</i> from multiple sources using HPLC/MS.

Sharp-Tawfik Arielle E AE Burkhardt Brant R BR

Data in brief 20190813

This article displays raw data linked to the research article "Compositional Analysis and Biological Characterization of Cornus officinalis on Human 1.1B4 Pancreatic β Cells" [1]. This data was generated by utilizing HPLC/(+and -)ESI-MSn on <i>Cornus officinalis</i> (CO) from four independent sources [1]. The aim was to identify the chemical profile of CO from multiple sources to compare the similarities and differences resulting from various processing methods, and compile a list of known and n ...[more]

PMID: 31497634

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Project description:Studying herbal products derived from local and traditional knowledge and their value chains is one of the main challenges in ethnopharmacology. The majority of these products have a long history of use, but non-harmonized trade and differences in regulatory policies between countries impact their value chains and lead to concerns over product efficacy, safety and quality. Veronica officinalis L. (common speedwell), a member of Plantaginaceae family, has a long history of use in European traditional medicine, mainly in central eastern Europe and the Balkans. However, no specified control tests are available either to establish the quality of derived herbal products or for the discrimination of its most common substitute, V. chamaedrys L. (germander speedwell). In this study, we use DNA metabarcoding and high performance liquid chromatography coupled with mass spectrometry (HPLC-MS) to authenticate sixteen V. officinalis herbal products and compare the potential of the two approaches to detect substitution, adulteration and the use of unreported constituents. HPLC-MS showed high resolution in detecting phytochemical target compounds, but did not enable detection of specific plant species in the products. DNA metabarcoding detected V. officinalis in only 15% of the products, whereas it detected V. chamaedrys in 62% of the products. The results confirm that DNA metabarcoding can be used to test for the presence of Veronica species, and detect substitution and/or admixture of other Veronica species, as well as simultaneously detect all other species present. Our results confirm that none of the herbal products contained exactly the species listed on the label, and all included substitutes, contaminants or fillers. This study highlights the need for authentication of raw herbals along the value chain of these products. An integrative methodology can assess both the quality of herbal products in terms of target compound concentrations and species composition, as well as admixture and substitution with other chemical compounds and plants.

Project description:Cornus officinalis is one of the most widely used medicinal plants in China and other East Asian countries to cure diseases such as liver, kidney, cardiovascular diseases and frequent urination for thousands of years. It is a Level 3 protected species, and is one of the 42 national key protected wild species of animals and plants in China. However, the genetics and molecular biology of C. officinalis are poorly understood, which has hindered research on the molecular mechanism of its metabolism and utilization. Hence, enriching its genomic data and information is very important. In recent years, the fast-growing technology of next generation sequencing has provided an effective path to gain genomic information from nonmodel species. This study is the first to explore the leaf and fruit tissue transcriptome of C. officinalis using the Illumina HiSeq 4000 platform. A total of 57,954,134 and 60,971,652 clean reads from leaf and fruit were acquired, respectively (GenBank number SRP115440). The pooled reads from all two libraries were assembled into 56,392 unigenes with an average length 856 bp. Among these, 41,146 unigenes matched with sequences in the NCBI nonredundant protein database. The Gene Ontology database assigned 24,336 unigenes with biological process (83.26%), cellular components (53.58%), and molecular function (83.93%). In addition, 10,808 unigenes were assigned a KOG functional classification by the KOG database. Searching against the KEGG pathway database indicated that 18,435 unigenes were mapped to 371 KEGG pathways. Moreover, the edgeR database identified 4,585 significant differentially expressed genes (DEGs), of which 1,392 were up-regulated and 3,193 were down-regulated in fruit tissue compared with leaf tissue. Finally, we explored 581 transcription factors with 50 transcription factor gene families. Most DEGs and transcription factors were related to terpene biosynthesis and secondary metabolic regulation. This study not only represented the first de novo transcriptomic analysis of C. officinalis but also provided fundamental information on its genes and biosynthetic pathway. These findings will help us explore the molecular metabolism mechanism of terpene biosynthesis in C. officinalis.

Dataset Information

Chemical profile dataset of Cornus officinalis from multiple sources using HPLC/MS.

Publications

Chemical profile dataset of <i>Cornus officinalis</i> from multiple sources using HPLC/MS.

Similar Datasets

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