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Hexadecyl Acetyl Glycerol Sale

(Synonyms: HAG) 目录号 : GC40413

An analog of DAG

Hexadecyl Acetyl Glycerol Chemical Structure

Cas No.:77133-35-8

规格 价格 库存
5mg
¥668.00
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10mg
¥1,268.00
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50mg
¥5,345.00
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100mg
¥9,354.00
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Sample solution is provided at 25 µL, 10mM.

产品文档

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产品描述

Hexadecyl acetyl glycerol (HAG) is an analog of DAG, which inhibits the activation of PKC by DAG. It also inhibits the growth of HL-60 cells and induces differentiation to cells resembling mononuclear phagocytes. Following treatment with 5 µg/ml HAG for six days, HL-60 cells demonstrated a 10-fold increase in non-specific esterase activity.

Chemical Properties

Cas No. 77133-35-8 SDF
别名 HAG
Canonical SMILES CCCCCCCCCCCCCCCCOC[C@H](CO)OC(=O)C
分子式 C21H42O4 分子量 358.6
溶解度 DMSO: 10 mg/ml,Ethanol: Miscible,PBS (pH 7.2): ~150 µ g/ml 储存条件 Store at -20°C
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储备液的保存方式和期限:-80°C 储存时,请在 6 个月内使用,-20°C 储存时,请在 1 个月内使用。
为了提高溶解度,请将管子加热至37℃,然后在超声波浴中震荡一段时间。
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溶解性数据

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1 mg 5 mg 10 mg
1 mM 2.7886 mL 13.9431 mL 27.8862 mL
5 mM 0.5577 mL 2.7886 mL 5.5772 mL
10 mM 0.2789 mL 1.3943 mL 2.7886 mL
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Research Update

Metabolomics Profiling Discriminates Prostate Cancer From Benign Prostatic Hyperplasia Within the Prostate-Specific Antigen Gray Zone

Front Oncol 2021 Oct 15;11:730638.PMID:34722271DOI:10.3389/fonc.2021.730638.

Objective: Prostate cancer (PCa) is the second most common male malignancy globally. Prostate-specific antigen (PSA) is an important biomarker for PCa diagnosis. However, it is not accurate in the diagnostic gray zone of 4-10 ng/ml of PSA. In the current study, the performance of serum metabolomics profiling in discriminating PCa patients from benign prostatic hyperplasia (BPH) individuals with a PSA concentration in the range of 4-10 ng/ml was explored. Methods: A total of 220 individuals, including patients diagnosed with PCa and BPH within PSA levels in the range of 4-10 ng/ml and healthy controls, were enrolled in the study. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS)-based non-targeted metabolomics method was utilized to characterize serum metabolic profiles of participants. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) methods were used for multivariate analysis. Receiver operating characteristic (ROC) curve analysis was performed to explore the diagnostic value of candidate metabolites in differentiating PCa from BPH. Correlation analysis was conducted to explore the relationship between serum metabolites and common clinically used fasting lipid profiles. Results: Several differential metabolites were identified. The top enriched pathways in PCa subjects such as glycerophospholipid and glycerolipid metabolisms were associated with lipid metabolism. Lipids and lipid-like compounds were the predominant metabolites within the top 50 differential metabolites selected using fold-change threshold >1.5 or <2/3, variable importance in projection (VIP) > 1, and Student's t-test threshold p < 0.05. Eighteen lipid or lipid-related metabolites were selected including 4-oxoretinol, anandamide, palmitic acid, glycerol 1-hexadecanoate, dl-dihydrosphingosine, 2-methoxy-6Z-hexadecenoic acid, 3-oxo-nonadecanoic acid, 2-hydroxy-nonadecanoic acid, N-palmitoyl glycine, 2-palmitoylglycerol, hexadecenal, d-erythro-sphingosine C-15, N-methyl arachidonoyl amine, 9-octadecenal, Hexadecyl Acetyl Glycerol, 1-(9Z-pentadecenoyl)-2-eicosanoyl-glycero-3-phosphate, 3Z,6Z,9Z-octadecatriene, and glycidyl stearate. Selected metabolites effectively discriminated PCa from BPH when PSA levels were in the range of 4-10 ng/ml (area under the curve (AUC) > 0.80). Notably, the 18 identified metabolites were negatively corrected with total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and Apo-B levels in PCa patients; and some were negatively correlated with high-density lipoprotein cholesterol (HDL-C) and Apo-A levels. However, the metabolites were not correlated with triglycerides (TG). Conclusion: The findings of the present study indicate that metabolic reprogramming, mainly lipid metabolism, is a key signature of PCa. The 18 lipid or lipid-associated metabolites identified in this study are potential diagnostic markers for differential diagnosis of PCa patients and BPH individuals within a PSA level in the gray zone of 4-10 ng/ml.