Metabolomics activity screening for identifying metabolites that modulate phenotype.

Metabolomics activity screening for identifying metabolites that modulate phenotype.
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DOI:
10.1038/nbt.4101
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发表时间:
2018-04-05
影响因子:
46.9
通讯作者:
Siuzdak G
Siuzdak G
中科院分区:
工程技术1区
文献类型:
--
作者:
Guijas C;Montenegro-Burke JR;Warth B;Spilker ME;Siuzdak G

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代谢组学,其中小分子代谢物(代谢物组)被确定和定量,被广泛认为是最接近表型的组学学科。尽管代谢组学因其在生物标志物发现计划中的作用而受到赞赏,但它也可用于鉴定可能改变细胞或生物体表型的代谢物。如本文所述的代谢组学活性筛选(MAS)将代谢组学数据与代谢途径和系统生物学信息(包括蛋白质组学和转录组学数据)整合,以产生一组内源性代谢物,其可以被测试改变表型的功能。越来越多的文献报道使用代谢物来调节不同的过程,例如干细胞分化、少突胶质细胞成熟、胰岛素信号传导、T细胞存活和巨噬细胞免疫应答。这开辟了识别和应用代谢物来影响表型的可能性。与基因或蛋白质不同,代谢物通常是容易获得的,这意味着MAS广泛适用于几乎任何生物系统的高通量筛选。
Metabolomics, in which small-molecule metabolites (the metabolome) are identified and quantified, is broadly acknowledged to be the omics discipline that is closest to the phenotype. Although appreciated for its role in biomarker discovery programs, metabolomics can also be used to identify metabolites that could alter a cell’s or an organism’s phenotype. Metabolomics activity screening (MAS) as described here integrates metabolomics data with metabolic pathways and systems biology information, including proteomics and transcriptomics data, to produce a set of endogenous metabolites that can be tested for functionality in altering phenotypes. A growing literature reports the use of metabolites to modulate diverse processes, such as stem cell differentiation, oligodendrocyte maturation, insulin signaling, T-cell survival and macrophage immune responses. This opens up the possibility of identifying and applying metabolites to affect phenotypes. Unlike genes or proteins, metabolites are often readily available, which means that MAS is broadly amenable to high-throughput screening of virtually any biological system.
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