AN ADAPTIVE FRAMEWORK TO SYNTHESIZE AND RECONFIGURE BACTERIAL VIRUSES (PHAGES) TO COUNTER ANTIBIOTIC RESISTANCE
Project Number1K99EB036553-01
Contact PI/Project LeaderZHANG, YAN
Awardee OrganizationCALIFORNIA INSTITUTE OF TECHNOLOGY
Description
Abstract Text
PROJECT SUMMARY
The growing antibiotic resistance crisis has revived interest in using phage therapy (viruses that infect and
lyse bacteria) to treat drug-resistant, pathogenic infections. Despite its promise, current phage therapy
development faces significant challenges in scalability and accessibility. Since phages are highly specific to their
bacterial hosts, it is difficult for a developed phage therapy to maintain treatment efficacy across various and
evolving strains of the same pathogen. This necessitates a continuous search and development of new phages,
which is highly time- and resource-intensive. Moreover, phage genomes have evolved to be highly compressed;
that is, the same stretch of sequence encodes more than one protein in different reading frames, which severely
limits the possibilities for phage genome engineering and reconfiguration. To attain the breakthrough
capability to facilitate phage therapy development against any antibiotic-resistant pathogen, this
proposal aims to develop an adaptive framework to rapidly synthesize and reconfigure synthetic phages.
Specifically, we will decompress phage genomes into physically distinct open reading frames using in vitro
genome assembly and synthesize decompressed phages using the E. coli cell-free system. This innovative
approach will create modular phage genomes compatible with interchangeable parts and a generalizable
expression platform for on-demand phage synthesis.
During the mentored phase (K99) of this award, we will optimize the E. coli cell-free system to produce
phages that infect Pseudomonas hosts, which are evolutionarily distant from E. coli, demonstrating this platform’s
capacity to synthesize phages against a broad range of pathogens (Aim 1). In addition, we will decompress
existing Pseudomonas phage genomes into distinct reading frames using in vitro genome assembly and will
synthesize decompressed phages in the E. coli cell-free system (Aim 2). In the independent phase (R00), we
will demonstrate the framework’s adaptability with (1) multiplexed phage genome engineering to develop phage
therapy against antibiotic-resistant Pseudomonas aeruginosa, (2) cross-order phage reconfiguration to target
gram-negative pathogens, and (3) extending this platform to gram-positive pathogens (Aim 3). The expected
outcome of this work is a transformative, adaptive framework to synthesize and reconfigure synthetic phages
against existing and emerging pathogens. This contribution is expected to be significant because it promises to
transform current phage therapy from a time- and resource-intensive endeavor into a widely accessible treatment
option, providing a breakthrough capability to protect public health against existing and emerging pathogens.
Public Health Relevance Statement
PROJECT NARRATIVE
Phage therapy, which uses bacterial viruses (phages) to eliminate pathogenic infections, offers a promising
solution to the growing public health crisis of antibiotic resistance. However, current phage therapy development
is highly time and resource-intensive, limiting this treatment's scalability and, therefore, accessibility to the
general public. This proposal aims to create an adaptive framework using phage genome decompression and
cell-free synthesis to rapidly generate effective phages for treatment, significantly advancing our capacity to
address the escalating antibiotic resistance crisis.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
009584210
UEI
U2JMKHNS5TG4
Project Start Date
01-December-2024
Project End Date
30-November-2026
Budget Start Date
01-December-2024
Budget End Date
30-November-2025
Project Funding Information for 2025
Total Funding
$128,461
Direct Costs
$118,945
Indirect Costs
$9,516
Year
Funding IC
FY Total Cost by IC
2025
National Institute of Biomedical Imaging and Bioengineering
$128,461
Year
Funding IC
FY Total Cost by IC
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