EMPIAR-10243 - Cryo-EM reconstruction of heparin-induced 2N4R tau filaments [multiple data sets in MRC and TIFF formats]

EMPIAR-10243

Cryo-EM reconstruction of heparin-induced 2N4R tau filaments [multiple data sets in MRC and TIFF formats]

Publication:

Heparin-induced tau filaments are polymorphic and differ from those in Alzheimer's and Pick's diseases

Zhang W., Falcon B., Murzin A.G., Fan J, Crowther R.A., Goedert M., Scheres S.H.W.

eLife 8 (2019)

PMID: 30720432

DOI: 10.7554/eLife.43584

Related EMDB entry:

EMD-4563 EMD-4565 EMD-4564

Deposited:

2019-01-23

Released:

2019-03-22

Last modified:

2019-03-22

Imageset size:

446.30 GB

Imageset DOI:

10.6019/EMPIAR-10243

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
micrographs - multiframe

Image Sets

1. Aligned micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

717

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.38, 1.38)

Details:

Aligned and dose-weighted sums.

Files:

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2. Raw movies

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

717

Image size:

(4096, 4096)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.38, 1.38)

Details:

Raw movies. The dose rate is 1.6 electrons / 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)

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Citations

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

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)

Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels.

Uddin MR, Ahmed AY, Tabib HMS, Tahmid MT, Alam MZU, Freyberg Z, Xu M. (2025)

Structural insight into bicarbonate-mediated carboxylation by human vitamin K-dependent carboxylase.

Wu K, Wang Z, Yao D, Li S, Wang X, Zhang Y, Cao M, Shen Y, Xing S, Wu J, Lei M, Lan P. (2025)

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (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)

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