EMPIAR-10178 - Single particle cryo-EM dataset of the flexible and variable oligomeric state complex AP-1:Arf1:tetherin-HIV-Nef [stack of 53841 particles in MRCS format]

EMPIAR-10178

Single particle cryo-EM dataset of the flexible and variable oligomeric state complex AP-1:Arf1:tetherin-HIV-Nef [stack of 53841 particles in MRCS format]

Publication:

HIV-1 Nefs Are Cargo-Sensitive AP-1 Trimerization Switches in Tetherin Downregulation

Sturzel CM, Heusinger E, Kirchhoff F, Ren X, Hurley JH

Cell 174 (2018) 659-671.e14

PMID: 30053425

DOI: 10.1016/j.cell.2018.07.004

Related EMDB entry:

EMD-7457 EMD-7456 EMD-7455 EMD-7458

Deposited:

2018-03-10

Released:

2018-07-27

Last modified:

2018-07-27

Imageset size:

10.09 GB

Imageset DOI:

10.6019/EMPIAR-10178

Experimental metadata:

Download xml json

Contains:

picked particles - multiframe - processed

Image Sets

1. Dose weight particle stack of AP1:Arf1:tetherin-HIV-Nef closed trimer after monomeric subunit extraction using LocalRec

Category:

picked particles - multiframe - processed

Image format:

MRCS

No. of images or tilt series:

53841

Image size:

(224, 224)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.067, 1.067)

Details:

Particles of the monomeric subunit of the AP1:Arf1:tetherin-HIV-Nef closed trimer extracted by LocalRec and including signal subtraction to leave only density for the monomeric subunit of interest.

Files:

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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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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)