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WSMON3: Cryo-EM at LBMS: Protein Structures, Protein-protein and Protein-cell Interactions

Virtual Workshop (Zoom link will be provided)

Virtual Workshop

Zoom link will be provided


Cryo-EM has become a widely used structure determination technique and the highest achieved resolution is 1.2 Angstrom where individual atoms can be resolved. To provide free access to cryo-EM instruments for biological applications, Brookhaven National Laboratory established a new national cryo-EM center: the Laboratory for Biomolecular Structure (LBMS). To introduce cryo-EM technique and LBMS to broad scientific communities, we organize this workshop. The goal is to bring together leading researchers to share their experience and strategies to deal with two common bottlenecks in cryo-EM: the sample preparation and the data processing. A live discussion, further development of the methods, and more collaborations are expected.

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    • 10:00 AM 1:00 PM
      Session Chair: Dongyan Tan (Stony Brook University)
      • 10:00 AM
        Welcoming remarks 10m
        Speaker: Sean McSweeney (LBMS)
      • 10:10 AM
        Overviews of LBMS 20m
        Speaker: Liguo Wang (LBMS)
      • 10:30 AM
        Application and fabrication of mono-layer graphene grids in cryo-EM 30m
        Speaker: Xiao Fan (Princeton University)
      • 11:00 AM
        Time-resolved cryoEM using Spotiton: a new take on a classic experiment 30m
        Speaker: Chase Budell (NYSBC)
      • 11:30 AM
        Simple and robust methods for high-speed cryoEM specimen preparation 30m
        Speaker: John Rubinstein (University of Toronto)
      • 12:00 PM
        Lunch break 1h
    • 1:00 PM 5:00 PM
      Session Chair: Yong Xiong (Yale University)
      • 1:00 PM
        Opening windows into the cell: bringing structure to sell biology using cryo-Electron Tomography 30m
        Speaker: Elizabeth Villa (UCSD)
      • 1:30 PM
        Cryo-ET data collection with SerialEM 30m
        Speaker: Jun Liu (Yale University)
      • 2:00 PM
        Don't throw away your data! Topaz deep learning particle picking results in more complete cryoEM structures 30m
        Speaker: Alex Noble (NYSBC)
      • 2:30 PM
        Improving SPA data processing pipeline by skipping 2D classification 30m
        Speaker: Farzad Jalali-Yazdi (Vertex Pharmaceuticals)
      • 3:00 PM
        Discussion with LBMS personnel and speakers 30m
        Speaker: Qun Liu (BNL)
      • 3:30 PM
        Break 30m
      • 4:00 PM
        Demo: single particle data collection using EPU 1h
        Speaker: Guobin Hu (LBMS)