The organization of proteins, both in space and time, is ubiquitous in natural processes. Engineered protein systems, on the other hand, typically lack this organization. Organizing biosynthetic and regulatory systems promises to improve yields of difficult-to-produce biomolecules and provide insight into the mechanisms of organization-related pathologies. These include many neurodegenerative diseases; spatiotemporal regulation is also implicated in processes of signaling, metabolism, and aging. Self-assembling, heritable proteins, known as prions, offer a promising method to organize biochemical processes in yeast and other organisms, and in turn to reveal principles underlying organization-related dysfunction.
The aims of the proposed research are three-fold: (I) Develop a toolkit of orthogonal prion domains to organize biochemistry; (II) Use prion domains to enhance biosynthesis and organize information flow; and (III) Use systems-level models to identify candidate pathways for prion-based organization. A recently discovered suite of prion-like proteins will be mined systematically for self-assembling domains conferring desirable phenotypes for biosynthetic and regulatory organization. Well-studied and newly discovered prion domains will be used to organize model enzymatic pathways and transcription factors, and to understand the effects of prion-based organization. Opioid synthesis will also be organized in this manner in order to improve titers and yields. Finally, a spatially resolved reaction-diffusion model will be implemented to examine the function of prion-based organization in detail and predict pathways that will benefit from organization in an intracellular prion phase. This model will make quantitative predictions of experimentally inaccessible quantities, such as the detailed concentration gradients within prion-based membraneless organelles. Engineering the spatiotemporal organization of biosynthetic processes has the potential to greatly increase our ability to generate useful quantities of recalcitrant biomolecules. These could range from opioid molecules and their precursors to complex macrocyclic antimicrobial compounds, all of which resist chemical synthesis and lack high-yielding biosynthetic routes. Understanding the mechanisms and function of prion-based organization also promises to reveal strategies to combat human pathologies, a growing number of which are found to be related to aberrant protein organization.

Public Health Relevance

Spatial and temporal organization of biochemistry is common to all kingdoms of life, and dysregulation of this organization is at the root of a host of pathologies, including devastating neurodegenerative diseases. This proposal describes an approach using self-templating proteins, known as prions, to spatiotemporally organize biochemistry in a controllable manner. These studies will provide important insights into the mechanisms of prion-based dysfunction, suggest prophylactic and therapeutic strategies to combat such diseases, and allow productive biosynthesis of medically relevant compounds that currently resist large-scale production.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
5F32GM125162-02
Application #
9542654
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Ravichandran, Veerasamy
Project Start
2017-08-01
Project End
2020-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Stanford University
Department
Pharmacology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94304
Jakobson, Christopher M; Jarosz, Daniel F (2018) Organizing biochemistry in space and time using prion-like self-assembly. Curr Opin Syst Biol 8:16-24
Jakobson, Christopher M; Tullman-Ercek, Danielle; Mangan, Niall M (2018) Spatially organizing biochemistry: choosing a strategy to translate synthetic biology to the factory. Sci Rep 8:8196