Processing of Structurally Heterogeneous Cryo-EM Data in RELION

Methods Enzymol. 2016:579:125-57. doi: 10.1016/bs.mie.2016.04.012. Epub 2016 May 31.

Abstract

This chapter describes algorithmic advances in the RELION software, and how these are used in high-resolution cryo-electron microscopy (cryo-EM) structure determination. Since the presence of projections of different three-dimensional structures in the dataset probably represents the biggest challenge in cryo-EM data processing, special emphasis is placed on how to deal with structurally heterogeneous datasets. As such, this chapter aims to be of practical help to those who wish to use RELION in their cryo-EM structure determination efforts.

Keywords: Classification; Cryo-electron microscopy; Image processing; Maximum likelihood; Protein dynamics; RELION; Single-particle analysis; Structural heterogeneity.

Publication types

  • Review

MeSH terms

  • Algorithms*
  • Bacterial Proteins / ultrastructure
  • Cryoelectron Microscopy / methods*
  • Dose-Response Relationship, Radiation
  • Escherichia coli / ultrastructure
  • Image Processing, Computer-Assisted / methods*
  • Image Processing, Computer-Assisted / statistics & numerical data
  • Imaging, Three-Dimensional / instrumentation
  • Imaging, Three-Dimensional / methods
  • Plasmodium falciparum / ultrastructure
  • Protein Conformation
  • Ribosomes / ultrastructure
  • Software*
  • beta-Galactosidase / ultrastructure

Substances

  • Bacterial Proteins
  • beta-Galactosidase