EMPIAR-11494 - Single particle cryo-EM structure of RIG-I:RNA:Riplet ternary complex [3420 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-11494

Single particle cryo-EM structure of RIG-I:RNA:Riplet ternary complex [3420 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

The E3 ligase Riplet promotes RIG-I signaling independent of RIG-I oligomerization

Wang W, Pyle AM

(---)

DOI: 10.1038/s41467-023-42982-0

Related EMDB entry:

Deposited:

2023-01-06

Released:

2023-11-06

Last modified:

2023-11-06

Imageset size:

1.52 TB

Imageset DOI:

10.6019/EMPIAR-11494

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of RIG-I:RNA:Riplet ternary complex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3420

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.4195, 0.4195)

Details:

The micrographs are the average, without any realignment, of 40 raw movie frames (accumulating 60 electron per squared Angstrom in a 4.963 second exposure).

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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)