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High-Throughput Universal
Digital High-Resolution Melt
(U-dHRM)Platform for
Bacterial Identification
BENJAMIN YANG
UC SCHOLARS
SUMMER RESEARCH CONFERENCE 2016
UNIVERSITY OF CALIFORNIA, SAN DIEGO
Overview
 Motivation
 Background
 U-dHRM Platform
 Current Work
 Summary
 Acknowledgements
Motivation – Sepsis
 >750,000 cases in the US each year
 26% - 50% mortality rate
 One of top 10 causes of infant mortality
 Tricky to diagnose
 Non-specific symptoms
 Unhelpful diagnostic protocols
Overwhelming and life-threatening inflammatory response to
a bloodstream infection.
Motivation – Blood Culture
 Current gold standard
 Can take several days or more for a result
 Difficult to determine bacterial strains
 Broad-spectrum antibiotics in the interim
 Negative results don’t necessarily affect
diagnosis!
Motivation – Diagnostic Criteria
Broad-based – detect all bacteria in sample
Sensitive – small sample volumes and 1 – 2000 CFU/mL
Rapid – targeted antibiotic treatment based on specific strains
Polymicrobial – precise composition of heterogeneous samples
Background – Molecular Diagnostics
 DNA Microarrays
 Quantitative Real-time PCR
 Rapid, no need for culture
 Lacks broad-based detection
 Hybridization inaccuracies
Background – 16S PCR
 16S rRNA gene
 Present in all bacteria  broad-based
 Strain-specific hypervariable regions
 Prone to false positives and negatives from small volumes (1-5 uL)
 Still need to sequence amplicon
Background – High Resolution Melt
 Rapid, inexpensive post-PCR
sequencing alternative
 Non-specific intercalating dye
 Solely dependent on sequence
 Constrained to homogeneous samples
Background – dPCR
 Scalable dynamic range and cost-effective
 DNA occupancy follows a Poisson distribution
 10 - 100 wells to DNA molecules
 96 wells  up to 9 molecules
 20,000 wells  up to 2,000 molecules
 Neonate blood contains 1-2,000 CFU/mL
 Partitions sample into individual
reaction wells  polymicrobial
& sensitive
Universal Digital HRM (U-dHRM)
 16S PCR  broad-based, rapid
 Digital PCR / Microfluidics  sensitive, polymicrobial
 High Resolution Melt  cost-effective
U-dHRM Platform – Workflow
DNA Isolation dPCR Chip Sequestration
16S Gene Amplification
Heat RampFluorescence Analysis
Melt Curve Analysis
U-dHRM Platform – Heating System
Heat Sink
Copper Block
Peltier Chip
Microscope
Stage Adapter
U-dHRM – One-versus-one Support
Vector Machine (OVO SVM)
 Supervised – learns from labeled training data (support vectors)
 Binary – determines between 2 classifications
L. monocytogenes
S. pneumoniae
Unknown Curves Training Data Classified Curves
Current Work – Brief
 Transition to digital droplet PCR
 Scalable dynamic range
 High-throughput
 Portability
 Image entire chip
 Remove microscope
Summary
 U-dHRM Platform
 Broad-based – universal 16S amplification
 Polymicrobial – highly accurate profiling of heterogeneous samples
 Sensitive – dPCR chip
 Rapid – DNA amplification strategies and HRM
 Current Work
 Provides high-throughput format
 Improves portability for clinical applications
Acknowledgments
 Dr. Colleen Chute-Ricker
 Dr. Julietta Jupe
 Daniel Ortiz
 Tyler Goshia
 Anthony Han
 Hannah Mack
 Nick Teuthorn
Many thanks to all the members of the Fraley Lab
Many thanks to our collaborators
 Dr. Shelley Lawrence – Assistant Professor, Pediatrics, UCSD Medicine
 Dr. Hannah Carter – Assistant Professor, Medical Genetics, UCSD Medicine
 Brian Tsui – Carter Lab
 Mridu Sinha – Coleman Lab
Many thanks to our sponsors

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Benjamin Yang -- SRC Presentation

  • 1. High-Throughput Universal Digital High-Resolution Melt (U-dHRM)Platform for Bacterial Identification BENJAMIN YANG UC SCHOLARS SUMMER RESEARCH CONFERENCE 2016 UNIVERSITY OF CALIFORNIA, SAN DIEGO
  • 2. Overview  Motivation  Background  U-dHRM Platform  Current Work  Summary  Acknowledgements
  • 3. Motivation – Sepsis  >750,000 cases in the US each year  26% - 50% mortality rate  One of top 10 causes of infant mortality  Tricky to diagnose  Non-specific symptoms  Unhelpful diagnostic protocols Overwhelming and life-threatening inflammatory response to a bloodstream infection.
  • 4. Motivation – Blood Culture  Current gold standard  Can take several days or more for a result  Difficult to determine bacterial strains  Broad-spectrum antibiotics in the interim  Negative results don’t necessarily affect diagnosis!
  • 5. Motivation – Diagnostic Criteria Broad-based – detect all bacteria in sample Sensitive – small sample volumes and 1 – 2000 CFU/mL Rapid – targeted antibiotic treatment based on specific strains Polymicrobial – precise composition of heterogeneous samples
  • 6. Background – Molecular Diagnostics  DNA Microarrays  Quantitative Real-time PCR  Rapid, no need for culture  Lacks broad-based detection  Hybridization inaccuracies
  • 7. Background – 16S PCR  16S rRNA gene  Present in all bacteria  broad-based  Strain-specific hypervariable regions  Prone to false positives and negatives from small volumes (1-5 uL)  Still need to sequence amplicon
  • 8. Background – High Resolution Melt  Rapid, inexpensive post-PCR sequencing alternative  Non-specific intercalating dye  Solely dependent on sequence  Constrained to homogeneous samples
  • 9. Background – dPCR  Scalable dynamic range and cost-effective  DNA occupancy follows a Poisson distribution  10 - 100 wells to DNA molecules  96 wells  up to 9 molecules  20,000 wells  up to 2,000 molecules  Neonate blood contains 1-2,000 CFU/mL  Partitions sample into individual reaction wells  polymicrobial & sensitive
  • 10. Universal Digital HRM (U-dHRM)  16S PCR  broad-based, rapid  Digital PCR / Microfluidics  sensitive, polymicrobial  High Resolution Melt  cost-effective
  • 11. U-dHRM Platform – Workflow DNA Isolation dPCR Chip Sequestration 16S Gene Amplification Heat RampFluorescence Analysis Melt Curve Analysis
  • 12. U-dHRM Platform – Heating System Heat Sink Copper Block Peltier Chip Microscope Stage Adapter
  • 13. U-dHRM – One-versus-one Support Vector Machine (OVO SVM)  Supervised – learns from labeled training data (support vectors)  Binary – determines between 2 classifications L. monocytogenes S. pneumoniae Unknown Curves Training Data Classified Curves
  • 14. Current Work – Brief  Transition to digital droplet PCR  Scalable dynamic range  High-throughput  Portability  Image entire chip  Remove microscope
  • 15. Summary  U-dHRM Platform  Broad-based – universal 16S amplification  Polymicrobial – highly accurate profiling of heterogeneous samples  Sensitive – dPCR chip  Rapid – DNA amplification strategies and HRM  Current Work  Provides high-throughput format  Improves portability for clinical applications
  • 16. Acknowledgments  Dr. Colleen Chute-Ricker  Dr. Julietta Jupe  Daniel Ortiz  Tyler Goshia  Anthony Han  Hannah Mack  Nick Teuthorn Many thanks to all the members of the Fraley Lab Many thanks to our collaborators  Dr. Shelley Lawrence – Assistant Professor, Pediatrics, UCSD Medicine  Dr. Hannah Carter – Assistant Professor, Medical Genetics, UCSD Medicine  Brian Tsui – Carter Lab  Mridu Sinha – Coleman Lab Many thanks to our sponsors