ePACE: automation platforms for adaptable and scalable continuous evolution of biomolecules with therapeutic potential
Project Number5R01EB027793-06
Former Number5R01EB027793-04
Contact PI/Project LeaderKHALIL, AHMAD SAMIR Other PIs
Awardee OrganizationBOSTON UNIVERSITY (CHARLES RIVER CAMPUS)
Description
Abstract Text
PROJECT SUMMARY
The recent development of continuous directed evolution (CDE) methods has made it increasingly possible to
generate biomolecules with radically altered or even new functions capable of addressing unmet needs in
medicine, biotechnology, and synthetic biology. By transforming the traditional stepwise process of classical
directed evolution into one that operates continuously in cells, these CDE methods, such as Phage-Assisted
Continuous Evolution (PACE), can theoretically enable extensive speed, scale, and depth in an evolutionary
search. However, the technical limitations of implementing PACE (and other CDE techniques) have restricted
what can be practically achieved with these approaches alone. To overcome these limitations, our collaborative
team recently established ePACE, a new technology that combines PACE with an automated, scalable, and
customizable continuous culture platform, called eVOLVER. By on-boarding the infrastructural and fluidic
requirements of PACE onto eVOLVER, we overcame many of the limitations of traditional PACE and unlocked
pathways for automated, parallel, and continuous evolution of biomolecules. Using ePACE, we already
succeeded in generating biomedically-relevant molecules, including the multiplexed evolution of Cas9 for
precision gene editing at previously-inaccessible genomic target sites. In this project, we will advance the
capabilities of ePACE in two critical dimensions – scale and accessibility – through new hardware and fluidic
technology developments. These developments will enable novel CDE schemes necessary to tackle new
challenges in biomolecular engineering. The first challenge we will tackle is engineering systems for targeted
integration of large, gene-sized DNA payloads in mammalian cells, which would enable diverse biomedical
applications, including therapeutic treatments for virtually any loss-of-function disease. We will apply ePACE for
highly parallelized evolution of CRISPR-associated transposases (CASTs) — recently discovered, multi-
component systems that enable programmable integration of large DNA in bacteria — to generate variants with
robust mammalian genomic integration activity. To effectively explore the combinatorial space of CAST
components, we will develop an ultra-high-throughput eVOLVER variant that facilitates ePACE evolutions at
unprecedented scale and dramatically increases the number of evolutionary trajectories explored. The second
challenge is establishing generalizable methods to evolve proteins for tight and selective binding of small-
molecule ligands, which would enable diverse biomedical applications, including biosensing and detection,
metabolic engineering, and drug and toxin sequestration. As part of this goal, we will deliver on the broader
mission of democratizing CDE by developing a miniaturized, ultra-low-cost eVOLVER variant that facilitates
PACE functionality, and use it to establish general pipelines that can be easily adopted by labs with minimal
financial and technical overhead. Together, this work will substantially expand the capabilities of CDE while
producing bespoke biomolecules for unmet biomedical needs.
Public Health Relevance Statement
PROJECT NARRATIVE
We have developed methods to evolve proteins continuously in the laboratory toward new biological activities.
These methods offer tremendous potential for evolving next-generation gene editing tools and protein
therapeutics to treat human diseases; however, they are limited by technical barriers that negatively impact their
success rate, efficiency, and broader application. To address these limitations, we propose to develop powerful
automation technologies that will dramatically increase the speed, scale, and wider adoption of these methods,
and to use the resulting technologies to evolve two classes of proteins with therapeutic potential.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
049435266
UEI
THL6A6JLE1S7
Project Start Date
03-May-2019
Project End Date
31-March-2027
Budget Start Date
01-April-2024
Budget End Date
31-March-2025
Project Funding Information for 2024
Total Funding
$804,366
Direct Costs
$684,284
Indirect Costs
$120,082
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$804,366
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB027793-06
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History
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