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基于质谱的单细胞脂质组学:进展、挑战与未来之路

Mass Spectrometry-based Single-Cell Lipidomics: Advancements, Challenges, and the Path Forward.

作者信息

Randolph Caitlin E, Manchanda Palak, Arora Harshit, Iyer Sanjay, Saklani Pooja, Beveridge Connor, Chopra Gaurav

机构信息

Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.

Purdue Institute for Drug Discovery, West Lafayette, IN 47907, USA.

出版信息

Trends Analyt Chem. 2023 Dec;169. doi: 10.1016/j.trac.2023.117350. Epub 2023 Oct 5.

Abstract

In the past decade, lipidomics, now recognized as standalone subdiscipline of metabolomics, has gained considerable attention. Due to its sensitivity and unparalleled versatility, mass spectrometry (MS) has emerged as the tool of choice for lipid identification and detection. Traditional MS-based lipidomics are performed on bulk cell samples. While informative, these bulk-scale cellular lipidome measurements mask cellular heterogeneity across seemingly homogeneous populations of cells. Unfortunately, single cell lipidomics methodology and analyses are considerably behind genomics, transcriptomics, and proteomics. Therefore, the cell-to-cell heterogeneity and related function remains largely unexplored for lipidomics. Herein, we review recent advances in MS-based single cell lipidomics. We also explore the root causes for the slow development of single-cell lipidomics techniques. We aim to provide insights on the pivotal knowledge gaps that have been neglected, prohibiting the propulsion of the single-cell lipidomics field forward, while also providing our perspective towards future methodologies that can pave a path forward.

摘要

在过去十年中,脂质组学现已被公认为代谢组学的一个独立子学科,受到了广泛关注。由于其灵敏度和无与伦比的通用性,质谱(MS)已成为脂质鉴定和检测的首选工具。传统的基于质谱的脂质组学是在大量细胞样本上进行的。虽然这些大规模细胞脂质组测量具有信息价值,但它们掩盖了看似同质细胞群体中的细胞异质性。不幸的是,单细胞脂质组学方法和分析在很大程度上落后于基因组学、转录组学和蛋白质组学。因此,脂质组学中细胞间异质性及其相关功能在很大程度上仍未得到探索。在此,我们综述了基于质谱的单细胞脂质组学的最新进展。我们还探讨了单细胞脂质组学技术发展缓慢的根本原因。我们旨在深入了解那些被忽视的关键知识空白,这些空白阻碍了单细胞脂质组学领域的发展,同时也提供我们对未来方法的展望,这些方法可为该领域开辟一条前进的道路。

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