EMPIAR-10788 - Tilt series of SARS-CoV-2 spike-bearing virus-like particles (VLPs) interacting with hACE2-bearing extracellular vesicles (tEVs), showing various intermediate states of the SARS-CoV-2 spike protein [6 tilt series in MRC format]

EMPIAR-10788

Tilt series of SARS-CoV-2 spike-bearing virus-like particles (VLPs) interacting with hACE2-bearing extracellular vesicles (tEVs), showing various intermediate states of the SARS-CoV-2 spike protein [6 tilt series in MRC format]

Publication:

Intermediates in SARS-CoV-2 spike-mediated cell entry

Marcink TC, Kicmal T, Armbruster E, Zhang Z, Zipursky G, Golub KL, Idris M, Khao J, Drew-Bear J, McGill G, Gallagher T, Porotto M, des Georges A, Moscona A

Science advances 8 (2022)

PMID: 35984891

DOI: 10.1126/sciadv.abo3153

Related EMDB entry:

EMD-24599 EMD-24600 EMD-24601 EMD-24602 EMD-24603 EMD-24604

Deposited:

2021-08-01

Released:

2022-10-07

Last modified:

2022-10-11

Imageset size:

9.61 GB

Imageset DOI:

10.6019/EMPIAR-10788

Experimental metadata:

Download xml json

Contains:

tilt series

Image Sets

1. Prealigned tilt series of SARS-CoV-2 spike-bearing virus-like particles (VLPs) interacting with hACE2-bearing extracellular vesicles (tEVs)

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.621, 1.621)

Details:

---

Files:

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

ダウンロードするファイル数やサイズによっては、膨大な時間がかかります。また、この機能は不安定で正常に動作しない可能性があり、ダウンロードされたファイルのチェックサムは検証されません。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

Browse All Files

Quick Links

Browse EMPIAR

Sample Preparation Widget

Volume Browser

Tomo Viewer Prototype

Claim entries to your ORCiD

Talks and Tutorials

EMPIAR Quick tour

Publications

Re-use study

Statistics

EMPIAR in the news

COVID-19 Data Portal

EMDB

BioImage Archive

PDBe

EMNavigator@PDBj

PDBj

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)