EMPIAR-10616 - Cryo-EM dataset of human pre-Bact spliceosome [multiple data sets in MRC format]

EMPIAR-10616

Cryo-EM dataset of human pre-Bact spliceosome [multiple data sets in MRC format]

Publication:

Mechanism of protein-guided folding of the active site U2/U6 RNA during spliceosome activation

Townsend C, Leelaram MN, Agafonov DE, Dybkov O, Will CL, Bertram K, Urlaub H, Kastner B, Stark H, Lührmann R

Science (New York, N.Y.) 370 (2020)

PMID: 33243851

DOI: 10.1126/science.abc3753

Related EMDB entry:

EMD-11697 EMD-11695 EMD-11696 EMD-11694 EMD-11693

Deposited:

2020-09-07

Released:

2021-01-29

Last modified:

2021-11-02

Imageset size:

627.61 GB

Imageset DOI:

10.6019/EMPIAR-10616

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. Motion-corrected micrographs (without dose-weighting) of human pre-Bact spliceosome

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

4676

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.16, 1.16)

Details:

Motion-corrected micrographs (without dose-weighting). Recorded with 45 electrons per squared angstrom over 20 frames at a pixel size of 1.16A and a fluence of 2.25e/A^2/frame.

Files:

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2. Motion-corrected micrographs (with dose-weighting) of human pre-Bact spliceosome

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

4676

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.16, 1.16)

Details:

Motion-corrected micrographs (with dose-weighting). Recorded with 45 electrons per squared angstrom over 20 frames at a pixel size of 1.16A and a fluence of 2.25e/A^2/frame.

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)

Browse All Files

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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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