UP - logo
E-resources
Full text
Peer reviewed Open access
  • Protocol for high-throughpu...
    Köhrer, Sebastian; Dittrich, Tobias; Schorb, Martin; Haberbosch, Isabella; Schwab, Yannick; Krämer, Alwin

    STAR protocols, 09/2023, Volume: 4, Issue: 3
    Journal Article

    Electron microscopy is the gold standard to characterize cellular ultrastructure. However, production of significant morphometrical data is highly limited by acquisition time. Here, we describe a semi-automated high-throughput strategy using single-axis serial section electron tomography to investigate and analyze centriole ultrastructure in bone-marrow-derived, primary human CD138pos plasma cells. The protocol comprises steps for electron microscopy sample preparation, semi-automated transmission electron microscopy screening, and screening evaluation for cells of interest. Thereafter, we detail tomography acquisition, data reconstruction, and joining. For complete details on the use and execution of this protocol, please refer to Dittrich et al.1 Display omitted •High-throughput production of volumetric EM data•From sample acquisition to tomography data in one week•Protocol can be used in both cell lines and primary patient material•Protocol is adaptable to various organelles and subcellular features Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Electron microscopy is the gold standard to characterize cellular ultrastructure. However, production of significant morphometrical data is highly limited by acquisition time. Here, we describe a semi-automated high-throughput strategy using single-axis serial section electron tomography to investigate and analyze centriole ultrastructure in bone-marrow-derived, primary human CD138pos plasma cells. The protocol comprises steps for EM sample preparation, semi-automated transmission electron microscopy screening, and screening evaluation for cells of interest. Thereafter, we detail tomography acquisition, data reconstruction, and joining.