Microfluidic Protein Flow Crystallization Using Engineered Nucleation Features for Serial and Traditional Crystallography

Information

  • Research Project
  • 10323393
  • ApplicationId
    10323393
  • Core Project Number
    R43GM140508
  • Full Project Number
    1R43GM140508-01A1
  • Serial Number
    140508
  • FOA Number
    PA-20-260
  • Sub Project Id
  • Project Start Date
    8/1/2021 - 3 years ago
  • Project End Date
    1/31/2022 - 2 years ago
  • Program Officer Name
    LIU, CHRISTINA
  • Budget Start Date
    8/1/2021 - 3 years ago
  • Budget End Date
    1/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    01
  • Suffix
    A1
  • Award Notice Date
    7/21/2021 - 3 years ago
Organizations

Microfluidic Protein Flow Crystallization Using Engineered Nucleation Features for Serial and Traditional Crystallography

PROJECT SUMMARY DeNovX creates innovative platform products that improve crystallization. Phase I seeks to improve the crystallization and sample handling efficiencies of high impact infectious disease related proteins by incorporating engineered nucleation features (ENFs) into microfluidic flow crystallization chips compatible with single crystal and serial crystallography using synchrotron X-ray and free electron laser (XFEL) lightsources. Crystal nucleation of proteins is challenging with the best workflows still averaging ? 80-85% failure rates. DeNovX?s ENFs reduce the thermodynamic and kinetic barriers to crystal nucleation, and combining ENFs with microfluidic flow crystallization benefits structural biology by producing more protein crystals for fixed and flowing sample targetry in the emerging ?diffract before destroying? strategies with high brilliance X-rays and by more efficiently using the protein resources. X-ray crystallography remains a benchmark technique by providing unparalleled atomic resolution data that serve as models for cryo-EM and NMR structures, and benefits to Public Health derive from an accelerated and expanded understanding of disease genesis, progression, and therapy. Specific Aim 1 - Define microfluidic protein flow crystallization chip formats and incorporate ENFs. Using as benchmarks select carbohydrate active enzyme (CAzyme), ?-lactamase, and SARS-CoV-2 (e.g., Nsp15, Mpro, PLpro) proteins, collect replicate (n ? 6) crystallization hit percentage, crystal yield, and onset time data with 12 unique ENFs vs. control surfaces for the polydimethylsiloxane (PDMS)/glass microfluidic materials of construction using microbatch crystallization. Identify the top four ENFs showing reproducible improvements of ? 10% increase in crystallization hits, ? 20% increase in the quantity of crystals generated, or ? 15% reduction in crystallization onset times vs. controls. Specific Aim 2 - Design a microfluidic protein flow crystallization platform incorporating ENFs that can produce and transport: (a) 1-50 µm crystals for fixed target meshes and flowing sample microjet injection for serial femtosecond crystallography using XFELs, and (b) 50-100 µm protein crystals for traditional single crystal diffraction. Assemble two functional PDMS/glass ?-prototypes with ? 3 fluid addition points for manipulation of crystallization conditions, establish hydrodynamic conditions for operation, and demonstrate efficient transport of 1-50 µm and 50-100 µm protein crystals with ? 25% average change in droplet size (may affect crystal size). Specific Aim 3 - For protein microfluidic flow crystallization using select ENFs and benchmark proteins (CAzymes, ?-lactamases, SARS-CoV-2), demonstrate reproducible (n ? 6) improvements of ? 20% increase in the quantity of crystals generated, ? 20% reduction in crystallization onset time, or ? 20% narrowing of crystal size distribution vs. controls. Confirm using synchrotron X-rays that structure quality metrics (e.g., resolution, R, etc.) of protein crystals are within ± 3 esds of PDB benchmarks. It is expected that microfluidic protein flow crystallization will efficiently produce diffraction quality crystals to enhance the quality and quantity of protein structure determination studies.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R43
  • Administering IC
    GM
  • Application Type
    1
  • Direct Cost Amount
  • Indirect Cost Amount
  • Total Cost
    313184
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
  • Funding ICs
    NIGMS:313184\
  • Funding Mechanism
    SBIR-STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    DENOVX, LLC
  • Organization Department
  • Organization DUNS
    078345079
  • Organization City
    STREAMWOOD
  • Organization State
    IL
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    601072366
  • Organization District
    UNITED STATES