EMPIAR-10209 - mouse MDA5-dsRNA 2.5-mM AMPPNP Filamemt [471 multi-frame micrographs composed of 75 frames each in MRC format]

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EMPIAR-10209

mouse MDA5-dsRNA 2.5-mM AMPPNP Filamemt [471 multi-frame micrographs composed of 75 frames each in MRC format]

Publication:

Cryo-EM Structures of MDA5-dsRNA Filaments at Different Stages of ATP Hydrolysis

Yu Q, Qu K, Modis Y.E

Molecular cell 72 (2018) 999-1012.e6

PMID: 30449722

DOI: 10.1016/j.molcel.2018.10.012

Related EMDB entry:

EMD-0012

Deposited:

2018-09-25

Released:

2019-04-05

Last modified:

2019-04-05

Imageset size:

1.08 TB

Imageset DOI:

10.6019/EMPIAR-10209

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame movies of mouse MDA5-dsRNA filaments in complex with 2.5mM AMPPNP

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

471

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(1.07, 1.07)

Details:

Unaligned raw movies of mouse MDA5-dsRNA filaments in complex with 2.5mM AMPPNP
Total dose was 29.33 electrons Å -2 over 60 seconds. Calibrated pixel size is 1.07 Å/pixel. Picked particles are raw particles from RELION Autopick. Not final particles for reconstruction.

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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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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

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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)