Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments.

ABSTRACT: Understanding how gene expression programs are controlled requires identifying regulatory relationships between transcription factors and target genes. Gene regulatory networks are typically constructed from gene expression data acquired following genetic perturbation or environmental stimulus. Single-cell RNA sequencing (scRNAseq) captures the gene expression state of thousands of individual cells in a single experiment, offering advantages in combinatorial experimental design, large numbers of independent measurements, and accessing the interaction between the cell cycle and environmental responses that is hidden by population-level analysis of gene expression. To leverage these advantages, we developed a method for scRNAseq in budding yeast (Saccharomyces cerevisiae). We pooled d

SUBMITTER: Jackson CA 

PROVIDER: S-EPMC7004572 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature