EMPIAR-11505 - High-throughput electron tomography identifies centriole over-elongation in plasma cell disorders [multiple data sets in MRC format]

EMPIAR-11505

High-throughput electron tomography identifies centriole over-elongation in plasma cell disorders [multiple data sets in MRC format]

Publication:

High-throughput electron tomography identifies centriole over-elongation as an early event in plasma cell disorders

Köhrer S, Dittrich T, Schorb M, Weinhold N, Haberbosch I, Börmel M, Pajor G, Goldschmidt H, Müller-Tidow C, Raab MS, John L, Seckinger A, Brobeil A, Dreger P, Tornóczky T, Pajor L, Hegenbart U, Schönland SO, Schwab Y, Krämer A

Leukemia (2023)

PMID: 37821581

DOI: 10.1038/s41375-023-02056-y

Related EMDB entry:

Deposited:

2022-03-14

Released:

2023-10-23

Last modified:

2023-10-23

Imageset size:

8.45 TB

Imageset DOI:

10.6019/EMPIAR-11505

Experimental metadata:

Download xml json

Contains:

tilt series
reconstructed volumes

Image Sets

1. single axis tilt series on consecutive sections

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

6278

Image size:

(2024, 2024)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(15.578, 15.578)

Details:

single axis tilt series. Tilt range -60 to +60 deg. every 1 deg. Metadata available in MDOC format.

Files:

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2. reconstructed serial tomograms

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

1271

Image size:

(2024, 2024)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(15.578, 15.578)

Details:

reconstructed and joined serial tomograms

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.

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Citations

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Kim K, Li H, Clarke OB. (2025)

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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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