EMPIAR-12529 - Mouse RNF213 double ATPase mutant (Walker B3, Walker B4) in presence of ATP [multiple data sets in TIFF and MRC formats]

EMPIAR-12529

Mouse RNF213 double ATPase mutant (Walker B3, Walker B4) in presence of ATP [multiple data sets in TIFF and MRC formats]

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-52570

Deposited:

2025-01-16

Released:

2025-12-17

Last modified:

2025-12-17

Imageset size:

1.91 TB

Imageset DOI:

10.6019/EMPIAR-12529

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. unaligned multi-frame micrographs

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

4608

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.53, 0.53)

Details:

data/raw_micrographs/ == unaligned multi-frame micrographs, not gain-corrected
data/extra/201019_EM_A_GainRef.mrc == gain reference for the dataset

Files:

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2. averaged micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

4608

Image size:

(5760, 4092)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.06, 1.06)

Details:

data/motioncorr/ == aligned corrected dose weighted averages via relion
data/extra/particles.star == relion 3.1+ star file describing the particles used in reconstruction of EMD-52571

Files:

This entry cannot be downloaded from PDBj.

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Download a list of selected files.

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Citations

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)

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)

Ultrathin liquid cells for microsecond time-resolved cryo-EM.

Curtis WA, Wenz J, Krüger CR, Barrass SV, Drabbels M, Lorenz UJ. (2026)

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

Species-specific structural adaptation of the potyviral coat protein in virions and virus-like particles.

Koritnik N, Kežar A, Kavčič L, Žnidarič MT, Leonardi A, De S, Pollari M, Mäkinen K, Podobnik M. (2026)

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)

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