Awardee OrganizationUNIVERSITY OF CALIFORNIA, SAN DIEGO
Description
Abstract Text
Project Summary
It is increasingly clear that bacteria play an important role in human health. While it is natural to focus on how
intestinal bacteria affect disease, intriguing findings have elucidated the extent to which bacteria inhabit solid
tumors. Microbes have been detected in lung, pancreatic, breast, oral, gallbladder, ovarian, liver, and colorectal
cancers. Localization has been ascribed to several mechanisms, including preference for anaerobic or facultative
anaerobic bacteria to grow in the hypoxic core of tumors, presence of bacterial nutrients, lack of immune surveil-
lance, and leakiness of the often poorly structured vasculature surrounding neoplastic tissue. This tendency for
localization to solid tumors suggests that bacteria could be engineered for precise and robust drug production and
delivery from within the solid tumor environment. This dovetails with 20 years of progress in synthetic biology,
which has tended to focus on microbial engineering. However, information on how the tumor microenvironment
affects bacterial growth is largely unknown. The microenvironment will affect bacterial gene expression that ul-
timately underlies the functionality of engineered therapies, and it is difficult to imagine a predictive framework
for engineered bacterial therapies without a quantitative understanding of how bacteria react to the environment
of a growing tumor. We will use a probiotic strain of E. coli with an established safety record to develop a novel
class of biosensors to noninvasively investigate bacterial growth in the tumor microenvironment. Initially, we
will develop lysis-based biosensors that respond to specific tumor environment targets: hypoxia, pH, glucose,
and lactate (Aim 1). We will also engineer an inducible quorum sensing (QS) system that enables external control
of bacterial population dynamics, including the ability to eliminate a specific strain whenever desired (Aim 1).
Together these strains will allow us to modulate and monitor population dynamics in vivo, enabling both sens-
ing of the local environment and maintenance of an external control switch. We will test these strains using an
established in vitro organoid model (Aim 2) and in two clinically relevant animal models for solid tumor growth.
Additionally, we will use our previously developed dynOMICS technology to screen tumor extract from the two
animal models and construct a second suite of biosensors for monitoring the tumor environment (Aim 2). These
biosensors will then be tested in the animal models. We will visualize bacterial populations in a colorectal tumor
model with bacteria that are engineered to produce luciferase in order to monitor colony dynamics using our es-
tablished methods (Aim 3). We will also build on recently reported technology whereby bacteria are modified for
use with ultrasound through addition of gas vesicles that permit high resolution imaging of the engineered bac-
teria. We will use the ultrasound method to investigate NASH-induced hepatocellular carcinoma (HCC) where
a high-fat diet is used to induce HCC at 20 weeks in mice (Aim 4). This project will quantitatively characterize
how bacterial strains sense, respond, and grow in the tumors. The results will establish a platform for future
exploration of therapies that are produced and delivered by bacteria that grow within solid tumors.
Public Health Relevance Statement
Project Narrative
We will develop a platform for bacterial synthetic biology in complex, heterogeneous environments, using
tumors as a model. We will develop genetic tools that allow bacteria to sense, respond to, and compensate for
the tumor environment, as well as experimental techniques to monitor their dynamics using in vitro organoid
models and animal models of hepatocellular carcinoma and colorectal cancer. Given that some bacteria can
naturally localize to tumors, this synthetic biology platform will set the stage for engineering bacterial cancer
biosensors and therapies.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AffectAnaerobic BacteriaAnimal ModelBacteriaBacterial GenesBehaviorBiological ModelsBiosensing TechniquesBiosensorCCL21 geneCRISPR/Cas technologyCancer ModelColonColonoscopyColorectalColorectal CancerColorectal NeoplasmsCompensationComplexCuesCytolysisDataDevelopmentDiseaseDrug Delivery SystemsEngineered ProbioticsEngineeringEnvironmentEscherichia coliFutureGasesGelGene ClusterGene ExpressionGenesGeneticGenomeGlucoseGoalsGrowthGrowth FactorHarvestHealthHigh Fat DietHistologyHumanHuman bodyHypoxiaImageImaging technologyImmunologic SurveillanceIn Situ HybridizationIn VitroIntercellular FluidIntestinesLiquid substanceLiverLuciferasesMaintenanceMalignant Breast NeoplasmMalignant NeoplasmsMalignant neoplasm of gallbladderMalignant neoplasm of liverMalignant neoplasm of lungMalignant neoplasm of ovaryMalignant neoplasm of pancreasMeasuresMethodsMicrobeMicrofluidic MicrochipsMicroscopyModelingMolecularMonitorMucous MembraneMusNutrientOptical reporterOralOrganoidsPathologicPenetrationPlayPopulationPopulation DynamicsPrimary carcinoma of the liver cellsProbioticsPropertyReactionReportingResearchResectedResolutionRoleSafetySolid NeoplasmSpecificitySpottingsStructureSystemTechniquesTechnologyTestingTimeTissuesUltrasonographyVesicleVisualizationclinically relevantdesigndesign and constructiondrug productioneffectiveness studyenvironmental changegenome wide screengenome-widehigh resolution imaginghuman diseaseimprovedin vivoin vivo Modelliver cancer modelluminescencemalignant mouth neoplasmmicrobialmicrofluidic technologymouse modelneoplasticnonalcoholic steatohepatitisnovelpre-clinicalpreferencepromoterquorum sensingresponsescreeningsynthetic biologytooltumortumor growthtumor microenvironmentultrasound
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
804355790
UEI
UYTTZT6G9DT1
Project Start Date
01-August-2021
Project End Date
30-April-2025
Budget Start Date
01-May-2024
Budget End Date
30-April-2025
Project Funding Information for 2024
Total Funding
$615,868
Direct Costs
$422,815
Indirect Costs
$193,053
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$615,868
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5R01EB030134-04
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5R01EB030134-04
Patents
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Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5R01EB030134-04
Clinical Studies
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News and More
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History
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Similar Projects
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