Developing next-generation high-content image-based genetic screens for multi-omic spatial phenotypes

NIH RePORTER · NIH · R01 · $653,880 · view on reporter.nih.gov ↗

Abstract

Project Summary/Abstract Spatial organization of the genome, nucleome and transcriptome is key to their control of many essential genomic and cellular functions. Yet existing tools limit our ability to identify regulators of these spatial organizations. We are developing a high-content, image-based CRISPR screen to discover three-dimensional (3D) genome regulators, a first-in-kind technology to uncover the regulatome of 3D genome architectures across multiple length scales. Our proof-of-concept screen targeting hundreds of candidate regulators identified many novel chromatin organization regulators. The goal of this application is to advance our technology to develop a highly-efficient, large scale, and multi-omic screening platform to discover the molecular regulators of the spatial genome, nucleome and transcriptome. In Aim 1, we will develop a generalizable, large scale screening platform compatible with in situ spatial omics techniques. In Aim 2, we will develop multimodal detection and perturbation methods for comprehensive large scale screens of 3D nucleome regulators. In Aim 3, we will develop integrative methods for large scale screens of spatial transcriptome phenotypes to allow efficient discovery of the regulatory mechanisms of subcellular RNA transport and localization. We expect that these proposed developments will provide the research field with brand-new, broadly applicable technologies for mechanistic studies of the spatial genome, nucleome and transcriptome in a wide range of biomedical contexts.

Key facts

NIH application ID
10856698
Project number
1R01HG013503-01
Recipient
YALE UNIVERSITY
Principal Investigator
Siyuan Wang
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$653,880
Award type
1
Project period
2024-09-17 → 2028-06-30