Characterization of metabolic features derived from the non-polar metabolite UHPLC-QTOF dataset of Jaspis sp. Collected from the waters off Pulau Banggi, Sabah, Malaysia

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Dexter Jiunn Herng Lee , Yee-Soon Ling , Christopher Lok Yung Voo , Mok Sam Lum , Jualang Azlan Gansau
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引用次数: 0

Abstract

The marine biome is a rich source of bioactive compounds. The discovery of anti-cancer compounds in Cryptotheca crypta in 1950 initiated a wave of bioprospecting efforts focused on marine sponges. Jaspis sp., a marine sponge, has been reported to exhibit anti-cancer activity against human colorectal cancer. A sample of Jaspis sp., collected from the waters off Pulau Banggi, Sabah, Malaysia, was analyzed through a non-polar metabolite survey. The non-polar crude extract was profiled using UHPLC-QTOF in both positive and negative modes. The detected metabolic features were clustered, and representative features were tentatively identified through a combination of spectral database searches (using various MS2 spectral databases) and in silico compound identification. This dataset provides a valuable foundation for future bioprospecting endeavors involving Jaspis sp.
来自马来西亚沙巴州邦吉岛海域的Jaspis sp.非极性代谢物UHPLC-QTOF数据集的代谢特征表征
海洋生物群落是生物活性化合物的丰富来源。1950年,在隐藻中发现抗癌化合物,掀起了一波以海洋海绵为重点的生物勘探浪潮。据报道,海海绵Jaspis sp.对人类结直肠癌表现出抗癌活性。从马来西亚沙巴州邦吉岛附近海域采集的一种Jaspis sp.样本,通过非极性代谢物调查进行了分析。采用UHPLC-QTOF在正、负两种模式下对非极性粗提物进行分析。对检测到的代谢特征进行聚类,并通过光谱数据库搜索(使用各种MS2光谱数据库)和硅化合物鉴定相结合,初步确定具有代表性的特征。该数据集为今后的生物勘探工作提供了有价值的基础。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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