EMPIAR-10536 - Single particle cryo-EM dataset for MlaFEDB from E. coli in nanodisc [multiple data sets in MRC and MRCS formats]

EMPIAR-10536

Single particle cryo-EM dataset for MlaFEDB from E. coli in nanodisc [multiple data sets in MRC and MRCS formats]

Publication:

Structure of bacterial phospholipid transporter MlaFEDB with substrate bound

Coudray N, Isom GL, MacRae M, Saiduddin MN, Bhabha G, Ekiert DC

eLife 9 (2020)

PMID: 33236984

DOI: 10.7554/elife.62518

Related EMDB entry:

EMD-22116

Deposited:

2020-06-10

Released:

2020-12-09

Last modified:

2021-01-29

Imageset size:

1.07 TB

Imageset DOI:

10.6019/EMPIAR-10536

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

--- file not found ---

Contains:

micrographs - multiframe
picked particles - single frame - processed

Image Sets

1. Unaligned multi-frame micrographs of MlaFEDB complex

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

3212

Image size:

(7420, 7676)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.416, 0.416)

Details:

Unaligned super-resolution (K2 camera, Titan Krios) multi-frame micrographs (total electron dose: 71 e-/A2; frame rate: 200 ms)

Files:

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2. Polished particles (using Relion 3.1)

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

3064

Image size:

(500, 500)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.832, 0.832)

Details:

Picked particles after polishing in Relion 3.1.

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)

See all citations

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