Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.
Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics.
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DOI：
10.1021/jasms.0c00439
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发表时间：
2021-04-07
影响因子：
3.2
通讯作者：
Anderton CR
中科院分区：
文献类型：
--
作者：
Taylor MJ;Lukowski JK;Anderton CR
生物系统由异质细胞群组成，这些细胞相互交流以形成功能性活组织。生物学功能在细胞群体之间变化很大，因为每个单细胞都有独特的转录组，蛋白质组和代谢组，这些转录组，蛋白质组和代谢组转化为单个物种和跨王国的功能差异。在过去的十年中，我们在单细胞水平上表征组学特征的能力取得了实质性进展，包括基于多光谱和质谱（MS）的技术。在这些技术中，空间分辨质谱方法，包括质谱成像（MSI），已经显示出单细胞蛋白质组学和代谢组学的最大进展。例如，使用重金属标签的基于质谱的方法已经允许在亚细胞水平上对蛋白质组进行靶向MS研究，并且诸如激光消融电喷雾电离质谱（LAESI-MS）的技术的发展现在意味着可以在原位进行动态代谢组学。在这个角度来看，我们展示了在单细胞空间代谢组学和蛋白质组学在过去十年中取得的进展，并强调了与高通量筛选，数据分析等相关的重要方面，这些方面对于在单细胞规模上成功实现蛋白质组学和代谢组学分析至关重要。最后，利用这一广泛的文献总结，我们提供了一个视角，未来十年可能会如何展开在单细胞MS为基础的蛋白质组学和代谢组学领域。
Biological systems are composed of heterogeneous populations of cells that intercommunicate to form a functional living tissue. Biological function varies greatly across populations of cells, as each single cell has a unique transcriptome, proteome, and metabolome that translates to functional differences within single species and across kingdoms. Over the past decade, substantial advancements in our ability to characterize omic profiles on a single cell level have occurred, including in multiple spectroscopic and mass spectrometry (MS)-based techniques. Of these technologies, spatially resolved mass spectrometry approaches, including mass spectrometry imaging (MSI), have shown the most progress for single cell proteomics and metabolomics. For example, reporter-based methods using heavy metal tags have allowed for targeted MS investigation of the proteome at the subcellular level, and development of technologies such as laser ablation electrospray ionization mass spectrometry (LAESI-MS) now mean that dynamic metabolomics can be performed in situ. In this Perspective, we showcase advancements in single cell spatial metabolomics and proteomics over the past decade and highlight important aspects related to high-throughput screening, data analysis, and more which are vital to the success of achieving proteomic and metabolomic profiling at the single cell scale. Finally, using this broad literature summary, we provide a perspective on how the next decade may unfold in the area of single cell MS-based proteomics and metabolomics.
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影响因子：
8.6
作者：
Blaženović I;Kind T;Torbašinović H;Obrenović S;Mehta SS;Tsugawa H;Wermuth T;Schauer N;Jahn M;Biedendieck R;Jahn D;Fiehn O
通讯作者：
Fiehn O
影响因子：
7.4
作者：
Basu SS;Randall EC;Regan MS;Lopez BGC;Clark AR;Schmitt ND;Agar JN;Dillon DA;Agar NYR
通讯作者：
Agar NYR
DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
4.6
作者：
Abu Sammour, Denis;Marsching, Christian;Hopf, Carsten
通讯作者：
Hopf, Carsten
影响因子：
4.4
作者：
Amato, Pierre;Christner, Brent C.
通讯作者：
Christner, Brent C.