Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics

被引:183
|
作者
Taylor, Michael J. [1 ]
Lukowski, Jessica K. [1 ]
Anderton, Christopher R. [1 ]
机构
[1] Pacific Northwest Natl Lab, Environm Mol Sci Div, Richland, WA 99352 USA
关键词
mass spectrometry imaging; MALDI; SIMS; LAESI; DESI; NanoDESI; LDI; high-throughput omics; SPEED MALDI-TOF; LASER SPOT SIZE; IR-MALDESI; ION-BEAM; MOLECULAR-IDENTIFICATION; BIOLOGICAL SAMPLES; RAMAN-SPECTROSCOPY; IMAGING ANALYSIS; HIGH-SENSITIVITY; RESOLUTION;
D O I
10.1021/jasms.0c00439
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:872 / 894
页数:23
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