EMPIAR-11117 - Single particle cryo-EM dataset of the Vairimorpha necatrix 20S proteasome from spores [7240 multi-frame micrographs composed of 30 frames each in TIFF format]

EMPIAR-11117

Single particle cryo-EM dataset of the Vairimorpha necatrix 20S proteasome from spores [7240 multi-frame micrographs composed of 30 frames each in TIFF format]

Publication:

Structure of the reduced microsporidian proteasome bound by PI31-like peptides in dormant spores

Jespersen N, Ehrenbolger K, Winiger RR, Svedberg D, Vossbrinck CR, Barandun J

Nature communications 13 (2022)

PMID: 36379934

DOI: 10.1038/s41467-022-34691-x

Related EMDB entry:

EMD-15365

Deposited:

2022-07-15

Released:

2022-12-13

Last modified:

2022-12-13

Imageset size:

874.10 GB

Imageset DOI:

10.6019/EMPIAR-11117

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame images of the Vairimorpha necatrix 20S proteasome from spores

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7240

Image size:

(3838, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.042, 1.042)

Details:

Movies with 30 frames were collected at a total dose of 35 (ds1) or 36.3 (ds2) electrons per squared angstrom second over an exposure time of 5 seconds. Defocus range of 0.7–2.8 μm, pixel size of 1.042 Å.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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