EMPIAR-11294 - Cryo-EM study on a single, highly heterogeneous cellular fraction with megadalton complexes derived from Chaetomium thermophilum [522 multi-frame micrographs composed of 30 frames each in MRC format]

EMPIAR-11294

Cryo-EM study on a single, highly heterogeneous cellular fraction with megadalton complexes derived from Chaetomium thermophilum [522 multi-frame micrographs composed of 30 frames each in MRC format]

Publication:

Cryo-EM of a heterogeneous cellular fraction elucidates multiple protein complexes from a multicellular thermophilic eukaryote.

Semchonok DA, Kyrilis FL, Hamdi F, Kastritis PL

Journal of Structural Biology: X (---)

DOI: 10.2139/ssrn.4211492

Related EMDB entry:

EMD-15397 EMD-17629

Deposited:

2022-10-27

Released:

2023-08-18

Last modified:

2023-08-18

Imageset size:

489.38 GB

Imageset DOI:

10.6019/EMPIAR-11294

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of heterogeneous cellular fraction (25) containing multiple endogenous protein complexes from a thermophilic eukaryote fungal Chaetomium thermophilum

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

522

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.96, 0.96)

Details:

Cryo-EM of a heterogeneous cellular fraction (25) elucidates multiple endogenous protein complexes from a thermophilic eukaryote.

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

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)

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)

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)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (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)

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)

See all citations

Protein Data Bank Japan News