MOCA for Integrated Analysis of Gene Expression and Genetic Variation in Single Cells

In cancer, somatic mutations occur continuously, causing cell populations to evolve. These somatic mutations result in the evolution of cellular gene expression patterns that can also change due to epigenetic modifications and environmental changes. By exploring the concordance of gene expression changes with molecular evolutionary trajectories of cells, we can examine the role of somatic variation on the evolution of gene expression patterns. We present Multi-Omics Concordance Analysis (MOCA) software to jointly analyze gene expressions and genetic variations from single-cell RNA sequencing profiles. MOCA outputs cells and genes showing convergent and divergent gene expression patterns in functional genomics.

Automated summary

This article introduces a software called MOCA, which can analyze gene expressions and genetic variations from single-cell RNA sequencing data to study the evolution of cancer cells and gene expression patterns.