9RY4 image
Deposition Date 2025-07-14
Release Date 2026-07-22
Last Version Date 2026-09-02
Entry Detail
PDB ID:
9RY4
Title:
Single particle reconstruction of Rhodospirillum rubrum encapsulin
Biological Source:
Source Organism(s):
Expression System(s):
Method Details:
Experimental Method:
Resolution:
2.00 Å
Aggregation State:
PARTICLE
Reconstruction Method:
SINGLE PARTICLE
Macromolecular Entities
Polymer Type:polypeptide(L)
Molecule:Type 1 encapsulin shell prote
Gene (Uniprot):enc
Chain IDs:A (auth: A0)
Chain Length:280
Number of Molecules:1
Biological Source:Rhodospirillum rubrum
Ligand Molecules
Primary Citation
Single particle cryo-EM analysis of the Rhodospirillum rubrum encapsulin nanocompartment shows variable loading of encapsulated ferritin cargo proteins and differences in the fivefold pore.
J.Struct.Biol. 218 108357 108357 (2026)
PMID: 42603627 DOI: 10.1016/j.jsb.2026.108357

Abstact

Encapsulins are self-assembling protein nanocompartments found in bacteria and archaea that encapsulate cargo enzymes to protect the cell from their toxic reaction products or intermediates. Developments in cryo-electron microscopy (cryo-EM) data processing strategies have enabled encapsulins and their cargo proteins to be investigated together in greater detail. In this study, we present the single particle cryo-EM structure of the Rhodospirillum rubrum encapsulin in both the presence and absence of its partner encapsulated ferritin (EncFtn). Single particle icosahedral reconstructions of empty and loaded encapsulins revealed a higher degree of conformational flexibility at the five-fold pore in the cargo loaded encapsulin. We applied a new non-point group averaging workflow to analyze the encapsulated ferritins within the encapsulin nanocompartment, to produce the first fully refined in situ atomic model of the EncFtn at 2.8 A resolution. Masked 2D classification and particle subtraction demonstrate that cargo loading is heterogeneous in this recombinant complex, with the encapsulin able to house up to five of the decameric EncFtn complexes. Our data provides new insights into the dynamics and cargo arrangement in encapsulins and demonstrates an adaptable workflow for high resolution reconstruction of encapsulin cargoes.

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