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The fate and physiology of individual cells are controlled by proteins. Yet, the ability to quantitatively analyze proteins in single cells has remained limited. Seeking to overcome this barrier, Northeastern University’s Nikolai Slavov Lab and its single-cell proteomics center developed SCoPE2.
In this webcast, Dr. Slavov will describe how this method can increase quantitative accuracy and throughput while lowering cost and hands-on time by introducing automated and miniaturized sample preparation, enabling analysis of the emergence of cellular heterogeneity as homogeneous monocytes differentiated into macrophage-like cells in the absence of polarizing cytokine.
He will demonstrate how SCoPE2 quantified over 3,042 proteins in 1,490 single monocytes and macrophages in ten days of instrument time, allowing the team to discern single cells by cell type. Furthermore, the data uncovered a continuous gradient of proteome states for the macrophage-like cells, suggesting that macrophage heterogeneity may emerge even in the absence of polarizing cytokines.
Dr. Slavov will discuss how parallel measurements of transcripts by scRNA-seq suggest that SCoPE2 measurements can sample 20-fold more protein copies than RNA copies per gene, supporting quantification with improved count statistics, and how joint analysis of the data illustrates what variability across single cells can reveal about transcriptional and post-transcriptional gene regulation. The speaker will also reveal how this methodology lays a foundation for automated and quantitative single-cell analysis of proteins by mass spectrometry.
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