EMPIAR-12528 - Mouse RNF213 coupled to a UBE2L3 activity-based probe in presence of ATPγS [11714 micrographs in MRC format]

EMPIAR-12528

Mouse RNF213 coupled to a UBE2L3 activity-based probe in presence of ATPγS [11714 micrographs in MRC format]

Publication:

ATP functions as a pathogen-associated molecular pattern to activate the E3 ubiquitin ligase RNF213

Clausen T, Fletcher AJ, Virdee S, Grabarczyk D, Ahel J

Nature Communications (2025)

Related EMDB entry:

EMD-52571

Deposited:

2025-01-16

Released:

2025-12-17

Last modified:

2025-12-17

Imageset size:

732.15 GB

Imageset DOI:

10.6019/EMPIAR-12528

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. motion corrected aligned micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

11714

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.178, 1.178)

Details:

Contents are as follows:
data/motioncorr/cryosparc_live/*mrc == micrographs from EER frame alignment, dose weighting, averaging via cryosparc_live
==
data/extra/run_data.star == relion 3.1+ format star file describing the particles after the final reconstruction of EMD-52570, including angular assignment

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

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)