High resolution dissection of oncogene enhancer networks via CRISPR screening and live-cell imaging.
- Institution
- Stanford University, CA
- Principal investigator
- Lei Stanley Qi
- Funding
- $451K
- Duration
- 2022–2028
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Abstract
ABSTRACT Non-coding elements comprise 98% of the human genome. The coordination of non-coding regulatory elements in the mammalian genome plays a pivotal role in controlling gene expression. Both experimental and computational studies reveal that pathogenic genes involved in complex diseases, including oncogenes, are regulated by a large number of enhancers, implying the existence of a complex interdependent regulatory network of enhancers in modulating and maintaining expression of these genes. Genome-Wide Association Studies (GWAS) reveal that non-coding regulatory elements, including enhancers, are hotspots for the genetic predisposition to disease. To determine causal relationships between chromatin architecture and gene transcription, perturbation in a biological system is necessary. Recent advances in CRISPR-based genome engineering and live cell imaging technologies have enabled new techniques for ultrahigh resolution interrogation of the function of various genome regulatory elements and how they relate to gene expression. In preliminary studies in our lab, we performed a targeted CRISPR interference (CRISPRi) based screen to study how the 7 MYC enhancers present in K562 cells work together to co-regulate this oncogene. We created a library with >87,000 pairs of gRNAs targeting the MYC enhancers to understand the epistatic network of gene regulation underlying MYC expression. We found that when a subset of enhancer pairs were targeted together, they exhibited a more dramatic than expected reduction in growth rate. We developed a model that divides MYC enhancers into 2 layers that work together with varying degrees of efficiency to co-regulate MYC expression in K562 cells. Here, we seek to expand these preliminary results to examine additional oncogenes and perform these experiments in additional cell types. In addition, we will combine perturbation of oncogene enhancers with CRISPR-based live cell imaging (termed CRISPR LiveFISH), that allows for the dynamic imaging of multiple genomic loci, mRNA, and protein components in living cells. In Aim 1, we will develop an ultrahigh-resolution multiplexed CRISPRi/a tiling screens platform to dissect enhancer interactions of different oncogenes in different cancer cell lines. We will perform multiplexed CRISPRi/CRISPRa screens to inhibit or activate pairs of enhancers with an ultrahigh spatial resolution (~20bp) controlling four oncogenes (MYC, CCND, BCL2, PDE4DIP) in K562 and HeLa cells. In Aim 2, we will characterize the dynamic real-time interactions between transcriptional coactivators, mediators, multiple enhancers, promoters, and RNA transcription during CRISPRi/a-mediated perturbation. We will monitor real-time dynamics of different enhancers, promotors, RNA transcription, and the transcriptional coactivator proteins BRD4, IRF1, and Gata4 using LiveFISH with and without enhancer perturbation. Altogether, we seek to apply new CRISPR technologies developed in our lab to create a model of how oncogene enhancers are dynamically regulated across multiple oncogenes and in multiple types of cancer cells.
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