EMPIAR-12503 - Cryo-EM Structure of the IFN-lambda4/IFN-lambdaR1/IL-10Rbeta receptor complex with an engineered IL-10Rbeta [5130 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-12503

Cryo-EM Structure of the IFN-lambda4/IFN-lambdaR1/IL-10Rbeta receptor complex with an engineered IL-10Rbeta [5130 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Structural studies of the IFNλ4 receptor complex using cryoEM enabled by protein engineering

Grubbe WS, Zhang B, Kauffman A, Byléhn F, Padoł K, Jung HG, Park SB, Priest JM, Özkan E, de Pablo JJ, Liang TJ, Zhao M, Mendoza JL

Nature communications 16 (2025)

PMID: 39827213

DOI: 10.1038/s41467-025-56119-y

Related EMDB entry:

EMD-44790

Deposited:

2024-12-05

Released:

2026-05-20

Last modified:

2026-05-20

Imageset size:

2.91 TB

Imageset DOI:

10.6019/EMPIAR-12503

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame raw data

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5130

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.5325, 0.5325)

Details:

Total dose: 50 electrons per square angstrom. Gain image included as a mrc file.

Files:

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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)

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)

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)