EMPIAR-11004 - Cryo-EM structure of RNA-induced tau fibrils reveals a small C-terminal core that may nucleate fibril formation [4729 multi-frame micrographs composed of 40 frames each in MRC format]

EMPIAR-11004

Cryo-EM structure of RNA-induced tau fibrils reveals a small C-terminal core that may nucleate fibril formation [4729 multi-frame micrographs composed of 40 frames each in MRC format]

Publication:

Cryo-EM structure of RNA-induced tau fibrils reveals a small C-terminal core that may nucleate fibril formation

Abskharon R, Cascio D, Sawaya MR, Boyer DR, Eisenberg DS, Cao Q, Nguyen BA

Proceedings of the National Academy of Sciences of the United States of America 119 (2022) 1-10

PMID: 35377792

DOI: 10.1073/pnas.2119952119

Related EMDB entry:

EMD-25364

Deposited:

2022-04-06

Released:

2022-04-13

Last modified:

2022-04-13

Imageset size:

693.36 GB

Imageset DOI:

10.6019/EMPIAR-11004

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

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Contains:

micrographs - multiframe

Image Sets

1. Unaligned movies of recombinant tau amyloid fibrils formed in the presence of RNA

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

4729

Image size:

(3838, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

Pixel size 1.06 A/pix. Dose rate: 1.3 e/A^2/frame.

Files:

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Citations

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

He L, Bartesaghi A. (2026)

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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)