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(重新)利用和(重新)分析公开可用的代谢组学数据。

(Re-)use and (re-)analysis of publicly available metabolomics data.

机构信息

Metabolomics and Proteomics Core, Helmholtz Zentrum München, Neuherberg, Germany.

Chair of Analytical Food Chemistry, TUM School of Life Sciences, Freising-Weihenstephan, Germany.

出版信息

Proteomics. 2023 Dec;23(23-24):e2300032. doi: 10.1002/pmic.202300032. Epub 2023 Sep 5.

Abstract

Metabolomics, the systematic measurement of small molecules (<1000 Da) in a given biological sample, is a fast-growing field with many different applications. In contrast to transcriptomics and proteomics, sharing of data is not as widespread in metabolomics, though more scientists are sharing their data nowadays. However, to improve data analysis tools and develop new data analytical approaches and to improve metabolite annotation and identification, sharing of reference data is crucial. Here, different possibilities to share (metabolomics) data are reviewed and some recent approaches and applications regarding the (re-)use and (re-)analysis are highlighted.

摘要

代谢组学是对给定生物样本中小于 1000 道尔顿的小分子进行系统测量的学科,是一个快速发展的领域,有许多不同的应用。与转录组学和蛋白质组学相比,代谢组学的数据共享并不广泛,尽管现在有更多的科学家在共享他们的数据。然而,为了改进数据分析工具,开发新的数据分析方法,并改善代谢物的注释和鉴定,共享参考数据至关重要。在这里,我们回顾了不同的代谢组学数据共享方式,并强调了一些最近关于再利用和重新分析的方法和应用。

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