A Molecular Networking Strategy: High-Throughput Screening and Chemical Analysis of Brazilian Cerrado Plant Extracts against Cancer Cells.
A Molecular Networking Strategy: High-Throughput Screening and Chemical Analysis of Brazilian Cerrado Plant Extracts against Cancer Cells.
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分子网络策略:巴西塞拉多植物提取物对癌细胞的高通量筛选和化学分析。
DOI:
10.3390/cells10030691
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发表时间:
2021-03-20
期刊:
影响因子:
6
通讯作者:
Espindola LS
中科院分区:
文献类型:
--
作者:
Cortelo PC;Demarque DP;Dusi RG;Albernaz LC;Braz-Filho R;Goncharova EI;Bokesch HR;Gustafson KR;Beutler JA;Espindola LS
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 IC50 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 Salacia crassifolia, Salacia elliptica, Simarouba versicolor, Diospyros hispida, Schinus terebinthifolia, Casearia sylvestris var. lingua, Magonia pubescens, and Rapanea guianensis. 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.
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影响因子:
3.8
作者:
Bader, A;Braca, A;Morelli, I
通讯作者:
Morelli, I
DOI:
10.3390/molecules22111915
发表时间:
2017-11-13
期刊:
Molecules (Basel, Switzerland)
影响因子:
--
作者:
Ayeleso TB;Matumba MG;Mukwevho E
通讯作者:
Mukwevho E
影响因子:
4.6
作者:
Espindola, Laila S.;Dusi, Renata G.;Beutler, John A.
通讯作者:
Beutler, John A.
影响因子:
3.4
作者:
Dong, Weiwei;Liu, Xin;Ding, Lisheng
通讯作者:
Ding, Lisheng
影响因子:
5.1
作者:
FUJIOKA, T;KASHIWADA, Y;LEE, KH
通讯作者:
LEE, KH