EMPIAR-10212 - CryoEM reconstruction of native lens connexin-46/50 at 3.4 angstrom resolution [multiple data sets in MRC format]

EMPIAR-10212

CryoEM reconstruction of native lens connexin-46/50 at 3.4 angstrom resolution [multiple data sets in MRC format]

Publication:

Structure of native lens connexin 46/50 intercellular channels by cryo-EM

Myers JB, Haddad BG, O'Neill SE, Chorev DS, Yoshioka CC, Robinson CV, Zuckerman DM, Reichow SL

Nature 564 (2018) 372-377

PMID: 30542154

DOI: 10.1038/s41586-018-0786-7

Related EMDB entry:

EMD-9116

Deposited:

2018-09-25

Released:

2019-01-17

Last modified:

2019-06-07

Imageset size:

831.63 GB

Imageset DOI:

10.6019/EMPIAR-10212

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned frame stacks - MP38 dataset 01

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

1017

Image size:

(7676, 7420)

Pixel type:

SIGNED BYTE

Pixel spacing:

(0.665, 0.665)

Details:

Unaligned, unprocessed frame stacks. Dose rate 3.2 electrons per pixel per second. Collected in super-resolution mode. These images were used to produce the 3.4 angstrom map associated with EMD-9116.

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2. Unaligned frame stacks - MP38 dataset 02

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

1145

Image size:

(7676, 7420)

Pixel type:

SIGNED BYTE

Pixel spacing:

(0.665, 0.665)

Details:

Unaligned, unprocessed frame stacks. Dose rate 3.2 electrons per pixel per second. Collected in super-resolution mode. These images were combined with dataset 01 to produce the 3.5 angstrom map associated with EMD-9116.

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

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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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