Human FERRY (Five-subunit Early endosome RNA and Ribosome intermediarY) complex
Sample Components
Protein phosphatase 1 regulatory subunit 21
Quinone oxidoreductase-like protein 1
Glutamine amidotransferase-like class 1 domain-containing protein 1
Specimen Preparation
Sample Aggregation State
PARTICLE
Vitrification Instrument
FEI VITROBOT MARK III
Cryogen Name
ETHANE
Sample Vitrification Details
3s blotting time
3D Reconstruction
Reconstruction Method
SINGLE PARTICLE
Number of Particles
18300
Reported Resolution (Å)
4
Resolution Method
FSC 0.143 CUT-OFF
Other Details
Refinement Type
Symmetry Type
POINT
Point Symmetry
C2
Map-Model Fitting and Refinement
Id
1
Refinement Space
Refinement Protocol
Refinement Target
Overall B Value
Fitting Procedure
Details
To build the model for the (CRYZL1)2(PPP1r21)2(GATD1)4 core of the FERRY complex, the obtained crystal structures of CRYZL1 and GATD1 were initially f ...
To build the model for the (CRYZL1)2(PPP1r21)2(GATD1)4 core of the FERRY complex, the obtained crystal structures of CRYZL1 and GATD1 were initially fitted into the corresponding density using the rigid body fitting tool in Chimera. trRosetta, a de novo protein structure prediction algorithm that is based on direct energy minimization with restrained Rosetta, was used to obtain initial models for PPP1r21. The predicted model for the 6-helix bundle domain, containing residues 246 to 498, that matched our experimental density best was subsequently fitted similar as CRYZL1 and GATD1 using rigid body fit. Manual model building for the regions N- and C-terminal 6-helix bundle, which comprise residues 218 to 245 and 499 to 552, respectively, was further guided by secondary structure predictions of individual trRosetta runs for these regions, that include the vertical helix as well as the beginning of the two terminal coiled-coils of PPP1r21. With the resulting combined model, containing residues 2 to 349, 218 to 552 and 8 to 217 of CRYZL1, PPP1r21 and GATD1, respectively, a restrained refinement in PHENIX was performed. In the next step, the model was further refined using a combination of manual building in COOT and real-space refinement in PHENIX.
