Complex gene regulatory networks ensure that important genes are expressed at precise levels. When gene expression is sufficiently perturbed it can lead to disease. To understand how gene expression disruptions percolate through a network, we must first map connections between regulatory genes and their downstream targets. However, we lack comprehensive knowledge of the upstream regulators of most genes. Here we developed an approach for systematic discovery of upstream regulators of critical immune factors – IL2RA, IL-2, and CTLA4 – in primary human T cells. Then, we mapped the network of these regulators’ target genes and enhancers using CRISPR perturbations, RNA-Seq, and ATAC-Seq. These regulators form densely interconnected networks with extensive feedback loops. Furthermore, this network is highly enriched for immune-associated disease variants and genes. These results provide insight into how immune-associated disease genes are regulated in T cells and broader principles about the structure of human gene regulatory networks.
doi: https://doi.org/10.1101/2021.04.18.440363
This repository contains the RNA-Seq and ATAC-Seq pipelines to identify the differentially expressed genes and enhancers described in the paper.
This repository contains the RNA-Seq and ATAC-Seq pipelines to identify the differentially expressed genes and enhancers described in the paper. Each folder contains a Snakemake pipeline to generate a counts matrix from the raw fastq files available [here](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE171737). Each folder also contains an R script to call differentially expressed genes or peaks using the generated counts matrix.
