HYBRID APPROACHES TO SINGLE-CELL TRANSCRIPTOMICS AND PROTEOMICS

Abstract

With single-cell transcriptomics and proteomics used together, a new revolutionary approach to understanding cellular heterogeneity and molecular complexity can be integrated.  To investigate the expression rates of the genes, protein levels, the numbers of the mitochondria, and the extent of the transcriptome variance during different single cell situations, this analysis construct applies a hybrid analytical strategy.  They developed nine tables to measure the multi-omic properties of 20 individual cell per condition on artificial but structurally representative data sets.  In experimental conditions A-I the observations have shown that progressively increasing protein quantity and gene expression was accompanied by altering transcriptional noise and mitochondrial content.  Surprisingly, the reduced level of protein expression in stressing cell conditions was found together with augmented transcriptome variance imposing the concept of epigenetic interference or regulatory failure.  The interdependencies were also illustrated through twelve advanced visualizations that showed hybrid plots, bar plots, scatter distributions, and line graphs.  Line plots.