Gigapixel Next-Generation-Sequencing: An Ultra-Sensitive Diagnostic for Infections of the CNS
Project Number5R01AI178795-10
Contact PI/Project LeaderABATE, ADAM R.
Awardee OrganizationUNIVERSITY OF CALIFORNIA, SAN FRANCISCO
Description
Abstract Text
ABSTRACT
Infectious diseases remain a significant cause of morbidity worldwide, highlighting the critical need for accurate
diagnosis. However, shared symptoms among different infections and the emergence of drug resistance make
diagnosis and treatment selection challenging. In this competing renewal, we propose to develop Gigapixel NGS
(gNGS) to enable rapid, sensitive, and information-rich infectious disease diagnosis. gNGS builds upon our
Gigapixel PCR (gPCR) technology by incorporating powerful next-generation sequencing capabilities. By
utilizing double emulsion vesicles for single cell assays, gNGS eliminates the need for specialized droplet
analyzers and allows common flow cytometers to be used for genome isolation.
Our goal in this renewal is to leverage the capabilities of Gigapixel NGS to detect, isolate, and sequence
infectious pathogen genomes from patient samples, which will improve the efficiency and sensitivity of pathogen
sequencing. We will collaborate with Dr. Charles Chiu, a renowned expert in infectious disease diagnostics who
leads the CLIA-certified pathogen lab at UCSF, to develop clinical workflows and bioinformatic tools for
interrogating the recovered genomes for relevant biomarker sequences, including virulence factors and drug
resistance genes. Dr. Chiu's expertise in infectious disease diagnostics and practical experience in clinical
sample sequencing for pathogen detection will ensure that the new diagnostic is effective and practical in a
clinical setting.
Public Health Relevance Statement
NARRATIVE
Accurate diagnosis is crucial for successful medical intervention in infectious diseases, but can be challenging
due to shared symptoms among different infections and the rising prevalence of drug resistance. There remains
a need to rapidly identify causative pathogens and choose appropriate treatments quickly given that prognosis
can depend on the turnaround time between sample collection and diagnosis. In this competing renewal, we aim
to build upon technology developed in our previous R01 to enable rapid, sensitive, and information-rich diagnosis
of infectious diseases from clinical samples.
National Institute of Allergy and Infectious Diseases
CFDA Code
855
DUNS Number
094878337
UEI
KMH5K9V7S518
Project Start Date
01-November-2023
Project End Date
31-October-2027
Budget Start Date
01-November-2024
Budget End Date
31-October-2025
Project Funding Information for 2025
Total Funding
$610,589
Direct Costs
$382,208
Indirect Costs
$228,381
Year
Funding IC
FY Total Cost by IC
2025
National Institute of Allergy and Infectious Diseases
$610,589
Year
Funding IC
FY Total Cost by IC
Sub Projects
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