Quantitative mining of compositional heterogeneity in cryo-EM datasets of ribosome assembly intermediates.

ABSTRACT: Single-particle cryoelectron microscopy (cryo-EM) offers a unique opportunity to characterize macromolecular structural heterogeneity by virtue of its ability to place distinct particle populations into different groups through computational classification. However, there is a dearth of tools for surveying the heterogeneity landscape, quantitatively analyzing heterogeneous particle populations after classification, deciding how many unique classes are represented by the data, and accurately cross-comparing reconstructions. Here, we develop a workflow that contains discovery and analysis modules to quantitatively mine cryo-EM data for sets of structures with maximal diversity. This workflow was applied to a dataset of E. coli 50S ribosome assembly intermediates, which are characterized by s

SUBMITTER: Rabuck-Gibbons JN 

PROVIDER: S-EPMC9891661 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature