EMPIAR-11593 - Single particle cryo-EM of rabbit ribosomes bound to human CCR4-NOT [multiple data sets in TIFF format]

EMPIAR-11593

Single particle cryo-EM of rabbit ribosomes bound to human CCR4-NOT [multiple data sets in TIFF format]

Publication:

Specific recognition and ubiquitination of translating ribosomes by mammalian CCR4-NOT

Absmeier E, Chandrasekaran V, O’Reilly FJ, Stowell JA, Rappsilber J, Passmore LA

bioRxiv (2022)

DOI: 10.1101/2022.07.24.501325

Related EMDB entry:

EMD-16052

Deposited:

2023-06-21

Released:

2023-09-08

Last modified:

2023-09-08

Imageset size:

6.56 TB

Imageset DOI:

10.6019/EMPIAR-11593

Experimental metadata:

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Contains:

micrographs - multiframe

Image Sets

1. Dataset 1

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

10009

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

---

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2. Dataset 2

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

23647

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

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

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)

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

He L, Bartesaghi A. (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)