EMPIAR-10520 - Cryo-electron tomography reveals that dynactin recruits a team of dyneins for processive motility. [127 tilt series in MRC format]

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EMPIAR-10520

Cryo-electron tomography reveals that dynactin recruits a team of dyneins for processive motility. [127 tilt series in MRC format]

Publication:

Cryo-electron tomography reveals that dynactin recruits a team of dyneins for processive motility

Grotjahn D.A, Chowdhury S, Xu Y, McKenney RJ, Schroer TA, Lander GC

Nature structural & molecular biology 25 (2018) 203-207

PMID: 29416113

DOI: 10.1038/s41594-018-0027-7

Related EMDB entry:

EMD-7000

Deposited:

2020-09-22

Released:

2020-12-02

Last modified:

2020-12-02

Imageset size:

200.15 GB

Imageset DOI:

10.6019/EMPIAR-10520

Experimental metadata:

Download xml json

Contains:

tilt series

Image Sets

1. tilt series in mrc format

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

127

Image size:

(1856, 1920)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(4.26, 4.26)

Details:

Micrographs are binned 2, non-dose-filtered, unaligned tilt-series. Each tilt-series contains ~119 images, and each image is a motion-corrected average of 10 frames.

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)

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)