EMPIAR-12306 - Cryo-EM Micrographs of Amyloid Fibrils of Mixed 0N4R and 0N3R Tau Seeded with Alzheimer's Disease Tau from Human Brain [7917 multi-frame micrographs composed of 45 frames each in TIFF format]

EMPIAR-12306

Cryo-EM Micrographs of Amyloid Fibrils of Mixed 0N4R and 0N3R Tau Seeded with Alzheimer's Disease Tau from Human Brain [7917 multi-frame micrographs composed of 45 frames each in TIFF format]

Publication:

Alzheimer's disease seeded tau forms paired helical filaments yet lacks seeding potential

Duan P, Dregni AJ, Xu H, Changolkar L, Lee VM, Lee EB, Hong M

The Journal of biological chemistry 300 (2024)

PMID: 39214304

DOI: 10.1016/j.jbc.2024.107730

Related EMDB entry:

EMD-45589

Deposited:

2024-09-24

Released:

2024-10-09

Last modified:

2024-10-09

Imageset size:

1.90 TB

Imageset DOI:

10.6019/EMPIAR-12306

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned Multi-frame Movies of Amyloid Fibrils of Mixed 0N4R and 0N3R tau seeded with AD Brain Tau

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7917

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

Raw micrograph 45-frame movies, accumulating 45.73 electrons per squared Angstrom in 2.25 second exposures.

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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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