| Literature DB >> 32847821 |
Abstract
MS-based proteome profiling has become increasingly comprehensive and quantitative, yet a persistent shortcoming has been the relatively large samples required to achieve an in-depth measurement. Such bulk samples, typically comprising thousands of cells or more, provide a population average and obscure important cellular heterogeneity. Single-cell proteomics capabilities have the potential to transform biomedical research and enable understanding of biological systems with a new level of granularity. Recent advances in sample processing, separations and MS instrumentation now make it possible to quantify >1000 proteins from individual mammalian cells, a level of coverage that required an input of thousands of cells just a few years ago. This review discusses important factors and parameters that should be optimized across the workflow for single-cell and other low-input measurements. It also highlights recent developments that have advanced the field and opportunities for further development.Entities:
Keywords: Cell biology; Cell sorting; FAIMS; Label-free quantification; Mass Spectrometry; Tandem Mass Spectrometry; Tissues*; nanoLC; nanoPOTS; single-cell; ultrasensitive
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Year: 2020 PMID: 32847821 PMCID: PMC7664119 DOI: 10.1074/mcp.R120.002234
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911