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Single-cell RNA sequencing has a long history of providing broad information about cellular gene expression, which in turn is translated into actual phenotypes of cell heterogeneity. Since its introduction, single-cell proteomics has generated a solid body of knowledge about changes in the proteome landscape of single cells. As well, recent improvements and developments in single-cell metabolomic analysis provide us with the ability to see metabolomic changes within single cells at the resolution of cellular differentiation states, or in response to external environment changes.
Recently, several studies have demonstrated transcriptomic and proteomic analysis from the same cell. This webcast will present an LC-MS workflow that allows researchers to perform proteomic and metabolomic analysis on the same type of chromatography simultaneously in parallel. Additionally, transcriptomic and genomic analysis can be added as extra options to get a “multi-omic analysis of the single cell” that captures the full biological state of the cell based on all critical components of cellular expression.
You will learn: