EMPIAR-10829 - Cryo Electron Tomography of Ca.M.lanthanidiphila for subtomographic averaging of the S-layer [multiple data sets in MRC format]

EMPIAR-10829

Cryo Electron Tomography of Ca.M.lanthanidiphila for subtomographic averaging of the S-layer [multiple data sets in MRC format]

Publication:

The Polygonal Cell Shape and Surface Protein Layer of Anaerobic Methane-Oxidizing Methylomirabilis lanthanidiphila Bacteria

Gambelli L, Mesman R, Versantvoort W, Diebolder CA, Engel A, Evers W, Jetten MSM, Pabst M, Daum B, van Niftrik L

Frontiers in microbiology 12 (2021)

PMID: 34925275

DOI: 10.3389/fmicb.2021.766527

Related EMDB entry:

EMD-13672

Deposited:

2021-10-05

Released:

2021-11-01

Last modified:

2022-02-25

Imageset size:

145.76 GB

Imageset DOI:

10.6019/EMPIAR-10829

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Reconstructed tomogram of Ca. M.lanthanidiphila cell

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

1452

Image size:

(4092, 5760)

Pixel type:

SIGNED BYTE

Pixel spacing:

(2.63809, 2.63809)

Details:

Aquisition according to the parameters in the .mdoc file. Tilt angles (for missing wedge compensation) are in the .tilt file

Files:

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2. Reconstructed tomogram of Ca. M.lanthanidiphila S-layer cell

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

1183

Image size:

(4092, 5760)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(2.62631, 2.62631)

Details:

Aquisition according to the parameters in the .mdoc file. Tilt angles (for missing wedge compensation) are in the .tilt file

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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