EMPIAR-12706 - Single particle cryo-EM micrographs of raiA RNA [multiple data sets in MRC format]

EMPIAR-12706

Single particle cryo-EM micrographs of raiA RNA [multiple data sets in MRC format]

Publication:

Naturally ornate RNA-only complexes revealed by cryo-EM

Kretsch RC, Wu Y, Shabalina SA, Lee H, Nye G, Koonin EV, Gao A, Chiu W, Das R

bioRxiv (2024)

DOI: 10.1101/2024.12.08.627333

Related EMDB entry:

EMD-48162

Deposited:

2024-12-05

Released:

2025-06-27

Last modified:

2025-06-27

Imageset size:

918.37 GB

Imageset DOI:

10.6019/EMPIAR-12706

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
picked particles - single frame - processed

Image Sets

1. Aligned and dose-weight averaged micrographs of raiA RNA.

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

8355

Image size:

(5760, 4092)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.864, 0.864)

Details:

The micrographs are the dose-weighted average by patch motion correction in cryosparc.

Files:

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2. Particle images of raiA RNA.

Category:

picked particles - single frame - processed

Image format:

MRC

No. of images or tilt series:

318464

Image size:

(320, 320)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.864, 0.864)

Details:

Particle parameters are from the final C1 reconstruction of raiA.

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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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)

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (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)

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