Bacterial life employs diverse immune mechanisms to protect themselves against predatory phage, which are thought to outnumber them by ten to one. CRISPR systems in particular engage their constituent Cas nucleases with programmable guide RNAs to target invading nucleic acids, endowing the host cell with adaptive immunity. They can be divided into six broad types, and the Type VI Cas13 systems contain the only known CRISPR nucleases that exclusively target RNA. CRISPR systems have been broadly adapted as genetic engineering technologies, and over the last few years, platforms based on Type II Cas9 have significantly accelerated basic research and biotechnology. Much like Cas9 for DNA targeting, Cas13 enzymes can be adapted into a modular and efficient platform for RNA targeting in cells, greatly advancing the RNA manipulation toolbox. However, many Cas13 enzymes are limited by variable and unpredictable activity, a challenge that has limited RNA interference technologies. More broadly speaking, a central problem in the genome and transcriptome engineering field is predicting robust and generalizable cleavage efficiency and specificity across different target nucleic acids and cell types within newly developed nuclease effectors. Recently, the Hsu lab reported the discovery of a subtype of Cas13, the Cas13d system, which is significantly smaller, more efficient, and more specific than other Cas13 subtypes or short hairpin RNAs for RNA interference and manipulation of alternative splicing. The Lyumkis lab recently leveraged state-of-the-art cryo- electron microscopy (cryo-EM) advances to solve high-resolution structures of Cas13d bound to guide RNA and target RNA. However, there are gaps in our understanding of Cas13d molecular structure and function and disconnects between the molecular/structural biology defining Cas13d activity and what is observed in mammalian cells in transcriptome engineering efforts. The overarching goal is to elucidate the diverse mechanisms of CRISPR-Cas adaptive immunity to engineer improved CRISPR-associated enzymes for gene regulation and other biotechnological applications. The proposed work will systematically address these challenges using interdisciplinary structural biology, biochemical, protein engineering, bioinformatic, and genetic approaches in collaboration between the Hsu and Lyumkis labs. The combined results from the proposed work will (1) provide mechanistic insight into the complete enzymatic cycle of Cas13d, (2) shed light on the evolutionary pathways involved in Cas13d structure and function, (3) define the mechanism of CRISPR- associated factors that can modulate Cas13 activity, and (4) enable the structure-guided engineering of next- generation RNA-targeting effectors for therapeutic and diagnostic applications. Importantly, the principles and approaches elucidated here will provide a blueprint for the design of diverse forthcoming tools beyond CRISPR-Cas13 for a comprehensive genome engineering toolbox.

Public Health Relevance

Establishing causal linkages between observed transcriptome changes in cellular function and disease would be significantly accelerated by genetic engineering tools that can target and correct the RNA products of DNA. We recently discovered the smallest known family of single effector RNA-guided CRISPR nucleases, and propose to elucidate the detailed mechanisms of their RNA-guided detection and destruction of target RNA, while developing a more mechanistic understanding of variable nuclease activity in target cells. We will then harness these insights to develop an improved generation of RNA-targeting CRISPR tools, facilitating a broad range of biomolecular applications including RNA therapeutics and diagnostics.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM132465-01A1
Application #
9972797
Study Section
Macromolecular Structure and Function B Study Section (MSFB)
Program Officer
Bender, Michael T
Project Start
2020-09-08
Project End
2024-06-30
Budget Start
2020-09-08
Budget End
2021-06-30
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California Berkeley
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94710