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一种分子网络策略:利用高通量筛选和化学分析巴西塞拉多植物提取物对癌细胞的作用。

A Molecular Networking Strategy: High-Throughput Screening and Chemical Analysis of Brazilian Cerrado Plant Extracts against Cancer Cells.

机构信息

Laboratório de Farmacognosia, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Brasília 70910-900, Brazil.

Molecular Targets Program, National Cancer Institute, Frederick, MD 21702, USA.

出版信息

Cells. 2021 Mar 20;10(3):691. doi: 10.3390/cells10030691.

DOI:10.3390/cells10030691
PMID:33804755
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8004027/
Abstract

Plants have historically been a rich source of successful anticancer drugs and chemotherapeutic agents, with research indicating that this trend will continue. In this contribution, we performed high-throughput cytotoxicity screening of 702 extracts from 95 plant species, representing 40 families of the Brazilian Cerrado biome. Activity was investigated against the following cancer cell lines: colon (Colo205 and Km12), renal (A498 and U031), liver (HEP3B and SKHEP), and osteosarcoma (MG63 and MG63.3). Dose-response tests were conducted with 44 of the most active extracts, with 22 demonstrating IC values ranging from <1.3 to 20 µg/mL. A molecular networking strategy was formulated using the Global Natural Product Social Molecular Networking (GNPS) platform to visualize, analyze, and annotate the compounds present in 17 extracts active against NCI-60 cell lines. Significant cytotoxic activity was found for , , , , , var. , , and . Molecular networking resulted in the annotation of 27 compounds. This strategy provided an initial overview of a complex and diverse natural product data set, yielded a large amount of chemical information, identified patterns and known compounds, and assisted in defining priorities for further studies.

摘要

植物一直是成功的抗癌药物和化疗药物的丰富来源,研究表明这种趋势将继续下去。在本研究中,我们对来自巴西塞拉多生物群落 40 个科的 95 种植物的 702 种提取物进行了高通量细胞毒性筛选。针对以下癌细胞系进行了活性研究:结肠(Colo205 和 Km12)、肾(A498 和 U031)、肝(HEP3B 和 SKHEP)和骨肉瘤(MG63 和 MG63.3)。对 44 种最活跃的提取物进行了剂量反应测试,其中 22 种提取物的 IC 值范围从<1.3 至 20µg/mL。利用全球天然产物社会分子网络(GNPS)平台制定了一种分子网络策略,用于可视化、分析和注释对 NCI-60 细胞系具有活性的 17 种提取物中的化合物。发现了 、 、 、 、 var. 、 、 和 具有显著的细胞毒性活性。分子网络对 27 种化合物进行了注释。该策略提供了对复杂多样的天然产物数据集的初步概述,提供了大量的化学信息,确定了模式和已知化合物,并有助于确定进一步研究的优先事项。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/4cd10bdb58e7/cells-10-00691-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/9bae96478dc8/cells-10-00691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/5e8876bda3b7/cells-10-00691-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/4cd10bdb58e7/cells-10-00691-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/9bae96478dc8/cells-10-00691-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/5e8876bda3b7/cells-10-00691-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7d9b/8004027/4cd10bdb58e7/cells-10-00691-g003.jpg

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