EMPIAR-12698 - Cryo electron micrographs of GSK3β phosphorylated tau fibrils [multiple data sets in MRC and MRCS formats]

EMPIAR-12698

Cryo electron micrographs of GSK3β phosphorylated tau fibrils [multiple data sets in MRC and MRCS formats]

Publication:

GSK3β phosphorylation catalyzes the aggregation of tau into Alzheimer's disease-like filaments

Chakraborty P, Ibáñez de Opakua A, Purslow JA, Fromm SA, Chatterjee D, Zachrdla M, Zhuang S, Puri S, Wolozin B, Zweckstetter M

Proceedings of the National Academy of Sciences of the United States of America 121 (2024)

PMID: 39693350

DOI: 10.1073/pnas.2414176121

Related EMDB entry:

Deposited:

2025-04-08

Released:

2025-06-02

Last modified:

2025-06-02

Imageset size:

699.38 GB

Imageset DOI:

10.6019/EMPIAR-12698

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
picked particles - multiframe - processed

Image Sets

1. Motion corrected micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(None, None)

Details:

---

Files:

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2. Picked particles

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

Image size:

(400, 400)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(None, None)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)