EMPIAR-12143 - cryo-EM micrographs of RNF168(1-113)/UbcH5c~Ub/H2AK13Ub nucleosome complex [8480 micrographs in MRC format]

EMPIAR-12143

cryo-EM micrographs of RNF168(1-113)/UbcH5c~Ub/H2AK13Ub nucleosome complex [8480 micrographs in MRC format]

Publication:

Capturing Snapshots of Nucleosomal H2A K13/K15 Ubiquitination Mediated by the Monomeric E3 Ligase RNF168

Ai HS, Tong ZB, Deng ZH, Tian CL, Liu L, Pan M

(---)

Related EMDB entry:

EMD-38101 EMD-60066

Deposited:

2024-06-18

Released:

2025-02-04

Last modified:

2025-02-04

Imageset size:

744.42 GB

Imageset DOI:

10.6019/EMPIAR-12143

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. cryo-EM images of RNF168(1-113)/UbcH5c~Ub/H2AK13Ub nucleosome complex

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

8480

Image size:

(None, None)

Pixel type:

UNSIGNED 32 BIT INTEGER

Pixel spacing:

(1.074, 1.074)

Details:

The uploaded micrographs were processed after motion-correction, the data was collected with an 32 frames of accumulating 50 electron in a 2.56 second exposure. The pixel size of the micrograph was 1.074 Angstroms.

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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)