EMPIAR-12531 - Raw cryo-electron micrographs used in SPA reconstruction of MlaC in complex with a soluble construct of MlaD [9012 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-12531

Raw cryo-electron micrographs used in SPA reconstruction of MlaC in complex with a soluble construct of MlaD [9012 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Structure of the MlaC-MlaD complex reveals molecular basis of periplasmic phospholipid transport

Wotherspoon P, Johnston H, Hardy DJ, Holyfield R, Bui S, Ratkevičiūtė G, Sridhar P, Colburn J, Wilson CB, Colyer A, Cooper BF, Bryant JA, Hughes GW, Stansfeld PJ, Bergeron JRC, Knowles TJ

Nature communications 15 (2024)

PMID: 39080293

DOI: 10.1038/s41467-024-50615-3

Related EMDB entry:

EMD-16904 EMD-16913

Deposited:

2024-07-04

Released:

2025-07-03

Last modified:

2025-07-03

Imageset size:

1.51 TB

Imageset DOI:

10.6019/EMPIAR-12531

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Raw multi-frame micrographs of MlaC in complex with MlaD

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

9012

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.75, 0.75)

Details:

---

Files:

このエントリはPDBjからダウンロードすることはできません。

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)