EMPIAR-10086 - Cryo EM of Type VI Secretion System VipA-N3/VipB/Hcp complex [260 multi-frame micrographs composed of 30 frames each in TIFF format]

EMPIAR-10086

Cryo EM of Type VI Secretion System VipA-N3/VipB/Hcp complex [260 multi-frame micrographs composed of 30 frames each in TIFF format]

Publication:

Cryo-EM structure of the extended type VI secretion system sheath-tube complex

Wang J, Brackmann M, Castaño-Díez D, Kudryashev M, Goldie KN, Maier T, Stahlberg H, Basler M

Nature microbiology 2 (2017) 1507-1512

PMID: 28947741

DOI: 10.1038/s41564-017-0020-7

Related EMDB entry:

EMD-3566

Deposited:

2017-02-21

Released:

2017-07-26

Last modified:

2020-04-22

Imageset size:

26.19 GB

Imageset DOI:

10.6019/EMPIAR-10086

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of T6SS VipA-N3/VipB/Hcp complex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

260

Image size:

(1919, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.039, 1.039)

Details:

The movies were acquired with SerialEM as dark-subtracted, non-gain-normalized stacks and saved as LZW-compressed TIFFs. The gain reference file "CountRef_xb212_Oct17_17.02.21.dm4" is included. Movies were recorded by K2 camera in counting mode at 1 electron per squared Angstrom per frame.

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

Post-acquisition super resolution for cryo-electron microscopy.

Burton Smith RN, Murata K. (2026)

Structural heterogeneity of CTE Type I tau filaments with an interface-shifted polymorph

Watanabe R, Lee EB. (2026)

QwenCryoMarker: a universal post-processing framework for contamination-aware particle cleaning.

Sun Y, Zhao J, Xu N, Wang L, Ding W, Li M. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

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)