EMPIAR-12542 - Cryo-electron micrographs of Cholinephosphotransferase in complex with diacylglycerol [multiple data sets in TIFF and MRC formats]

EMPIAR-12542

Cryo-electron micrographs of Cholinephosphotransferase in complex with diacylglycerol [multiple data sets in TIFF and MRC formats]

Publication:

Structural basis for catalysis and selectivity of phospholipid synthesis by eukaryotic choline-phosphotransferase

Roberts JR, Horibata Y, Kwarcinski FE, Lam V, Raczkowski AM, Hubbard A, White B, Sugimoto H, Tall GG, Ohi MD, Maeda S

Nature communications 16 (2025)

PMID: 39747155

DOI: 10.1038/s41467-024-55673-1

Related EMDB entry:

EMD-42357

Deposited:

2025-02-03

Released:

2025-03-10

Last modified:

2025-03-10

Imageset size:

1.18 TB

Imageset DOI:

10.6019/EMPIAR-12542

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. Unaligned multi-frame micrographs of cholinephosphotransferase in complex with diacylglycerol

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3625

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.08, 1.08)

Details:

Unaligned micrographs in TIF format. Total accumulated dose of 59.81 electrons per square angstrom.

Files:

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2. Gain reference

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.08, 1.08)

Details:

Gain reference in .mrc format

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

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

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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)