Helveticoside

Helveticoside
Product Name Helveticoside
CAS No.: 630-64-8
Catalog No.: CFN70428
Molecular Formula: C29H42O9
Molecular Weight: 534.7 g/mol
Purity: >=98%
Type of Compound: Steroids
Physical Desc.: Powder
Source: The herbs of Thevetia peruviana
Solvent: DMSO, Pyridine, Methanol, Ethanol, etc.
Price:
Helveticoside, disulfiram, and lanatoside C as potential molecular targets in chronic obstructive pulmonary disease( COPD).
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Providing storage is as stated on the product vial and the vial is kept tightly sealed, the product can be stored for up to 24 months(2-8C).

Wherever possible, you should prepare and use solutions on the same day. However, if you need to make up stock solutions in advance, we recommend that you store the solution as aliquots in tightly sealed vials at -20C. Generally, these will be useable for up to two weeks. Before use, and prior to opening the vial we recommend that you allow your product to equilibrate to room temperature for at least 1 hour.

Need more advice on solubility, usage and handling? Please email to: service@chemfaces.com

The packaging of the product may have turned upside down during transportation, resulting in the natural compounds adhering to the neck or cap of the vial. take the vial out of its packaging and gently shake to let the compounds fall to the bottom of the vial. for liquid products, centrifuge at 200-500 RPM to gather the liquid at the bottom of the vial. try to avoid loss or contamination during handling.
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    The aim of this study was to investigate the gene expression profile of chronic obstructive pulmonary disease (COPD) patients and non-COPD patients.
    METHODS AND RESULTS:
    Microarray raw data (GSE29133) was downloaded from Gene Expression Omnibus, including three COPD samples and three normal controls. Gene expression profiling was performed using Affymetrix human genome u133 plus 2.0 GeneChip. Differentially expressed genes were identified by Student's t test and genes with p < 0.05 were considered significantly changed. Up- and downregulated genes were submitted to the molecular signatures database (MSigDB) to search for a possible association with other previously published gene expression signatures. Furthermore, we constructed a COPD protein-protein interaction (PPI) network and used the connectivity map (cMap) to query for potential drugs for COPD. A total of 680 upregulated genes and 530 downregulated genes in COPD were identified. The MSigDB investigation found that upregulated genes were highly similar to gene signatures that respond to interferon and downregulated genes were similar to erythroid progenitor cells from fetal livers of E13.5 embryos with KLF1 knocked out. A PPI network consisting of 814 gene/proteins and 2,613 interactions was identified by Search Tool for the Retrieval of Interacting Genes. The cMap predicted Helveticoside, disulfiram, and lanatoside C as the top three possible drugs that could perhaps treat COPD.
    CONCLUSIONS:
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