The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics
Open accessAbstract
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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Cites
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Methods and applications for single-cell and spatial multi-omics
Vandereyken, K., Sifrim, A., Thienpont, B., & Voet, T. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00580-2 · Cited by 1,244
The emerging landscape of spatial profiling technologies
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WILDS: A Benchmark of in-the-Wild Distribution Shifts
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“, 2014), proteomics and metabolomics (Taylor et al., 2021), and drug discovery (Broach et al.”
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Taylor, M. J., Liyu, A., Vertes, A., & Anderton, C. R. (2021) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.1c00149 · Cited by 43
Self-citationSpatiotemporal multi-omics: exploring molecular landscapes in aging and regenerative medicine
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From Microbial Switches to Metabolic Sensors: Rewiring the Gut–Brain Kynurenine Circuit
Tanaka, M., & Vécsei, L. (2025) · doi:10.20944/preprints202506.0880.v1 · Cited by 24
Metadata
- Authors
- Taylor, M. J., Lukowski, J. K., & Anderton, C. R.
- Venue
- Journal of the American Society for Mass Spectrometry
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-03-03
- Volume
- 32
- Issue
- 4
- Pages
- 872-894
- ISSN
- 1044-0305 (ISSN-L)
- 1879-1123
- OpenAlex
- W3134832934
- Cited by
- 302
- References
- 14
- FWCI
- 18.21
- Type
- journal article
- Language
- en
- Open access
- hybrid
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