Single-cell proteomics by mass spectrometry using SCoPE-MS | CSHL Meeting: Single Cell Analyses 2017 скачать в хорошем качестве

Single-cell proteomics by mass spectrometry using SCoPE-MS | CSHL Meeting: Single Cell Analyses 2017

This talk was recorded at the 2017 Single Cell Analyses Meeting at the Cold Spring Harbor Laboratory. See more at https://slavovlab.net/research.htm and http://YouTube.single-cell.net. Single-cell proteomics by mass spectrometry using SCoPE-MS The talk summarizes results published in: Budnik B., Levy E., Slavov N. (2017) Mass-spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation, bioRxiv, DOI: http://dx.doi.org/10.1101/102681 Genome Biology 2018 19:161, DOI: https://doi.org/10.1186/s13059-018-15... Cellular heterogeneity is important to biological processes, including cancer and development. However, proteome heterogeneity is largely unexplored because of the limitations of existing methods for quantifying protein levels in single cells. To alleviate these limitations, we developed Single Cell ProtEomics by Mass Spectrometry (SCoPE-MS), and validated its ability to identify distinct human cancer cell types based on their proteomes. We used SCoPE-MS to quantify over a thousand proteins in differentiating mouse embryonic stem (ES) cells. The single-cell proteomes enabled us to deconstruct cell populations and infer protein abundance relationships. Comparison between single-cell proteomes and transcriptomes indicated coordinated mRNA and protein covariation. Yet many genes exhibited functionally concerted and distinct regulatory patterns at the mRNA and the protein levels, suggesting that post-transcriptional regulatory mechanisms contribute to proteome remodeling during lineage specification, especially for developmental genes. SCoPE-MS is broadly applicable to measuring proteome configurations of single cells and linking them to functional phenotypes, such as cell type and differentiation potentials. See also: Transformative opportunities for single cell proteomics J. of Proteome Res., 17 (8), 2565 - 2571, DOI: https://doi.org/10.1021/acs.jproteome...