EMPIAR-10993 - Cryo-EM micrographs of BMV TLS RNA [multiple data sets in MRC format]

EMPIAR-10993

Cryo-EM micrographs of BMV TLS RNA [multiple data sets in MRC format]

Publication:

A viral RNA hijacks host machinery using dynamic conformational changes of a tRNA-like structure

Bonilla SL, Sherlock ME, MacFadden A, Kieft JS

Science (New York, N.Y.) 374 (2021) 955-960

PMID: 34793227

DOI: 10.1126/science.abe8526

Related EMDB entry:

EMD-24952

Deposited:

2022-03-28

Released:

2022-04-19

Last modified:

2022-04-19

Imageset size:

7.39 TB

Imageset DOI:

10.6019/EMPIAR-10993

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. Aligned micrographs (with and without dose-weighting), dataset 1

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

4463

Image size:

(11520, 8184)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.413, 0.413)

Details:

Micrographs were motion corrected with cryoSPARC 'patch motion correction'. Total dose: 30 electrons per angstrom squared.

Files:

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2. Aligned micrographs (with and without dose-weighting), dataset 2

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

5283

Image size:

(11520, 8184)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.413, 0.413)

Details:

Micrographs were motion corrected with cryoSPARC 'patch motion correction'. Total dose: 30 electrons per angstrom squared.

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)

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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