Resolving transcription factor target search mechanisms

NIH RePORTER · NIH · R01 · $588,426 · view on reporter.nih.gov ↗

Abstract

Project Summary Proper gene expression regulation is pivotal for cellular function, and its dysregulation contributes to disease. Transcription factors (TFs) initiate gene expression by identifying binding sites in enhancers and promoters and recruiting the transcriptional machinery. However, the nucleus's crowded nature and the abundance of non-specific sites make it extremely challenging for TFs to efficiently search for and binding correct DNA binding sites. This project addresses the fundamental question: How do TFs efficiently locate specific sites amidst numerous non-specific ones inside a crowded nucleus? Innovatively, this study employs a new advanced microscopy technique that overcomes the low spatiotemporal resolution associated with camera-based single-molecule tracking. This approach enables precise tracking of TFs in live human and mouse cells with unprecedented spatial (~2-4 nm) and temporal (one hundred microseconds) precision. This transformative approach represents a substantial advancement over traditional methods, facilitating the investigation of TF search mechanisms. By comprehensively tracing TFs' 3D diffusion, DNA interactions, and target site discrimination, we will resolve the TF target search mechanism. First, we will optimize and validate the proposed tracking method and develop novel computational methods for handling and analyzing these new types of tracking data. Second, we will apply this technology to understand how TFs involved in pluripotency and genome structure find their target sites and elucidate how individual protein domains affect the target search mechanisms. Third, we will apply this technology to uncover the oncogenic potential of fusion TFs in several cancers. Fourth, we will leverage these studies to understand how “search domains” in TFs regulate the target search mechanism and efficiency towards the rational design of synthetic TFs with tunable search properties. Taken together, this proposal will reveal how TFs find their target sites with applications to synthetic biology and cancer biology.

Key facts

NIH application ID
10917488
Project number
1R01CA300848-01
Recipient
MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Principal Investigator
Anders Sejr Hansen
Activity code
R01
Funding institute
NIH
Fiscal year
2024
Award amount
$588,426
Award type
1
Project period
2024-09-01 → 2029-08-31