EMPIAR-12683 - Mechanistic snapshots of lipid-linked sugar transfer [multiple data sets in TIFF format]

EMPIAR-12683

Mechanistic snapshots of lipid-linked sugar transfer [multiple data sets in TIFF format]

Publication:

Mechanistic snapshots of lipid-linked sugar transfer

Morgan RT, Motta S, Gil-Iturbe E, Bhattacharjee B, Anwar MT, Di Muccio G, Romagnoli A, Mishra B, Ashraf KU, Bang I, Di Marino D, Lowary TL, Quick M, Petrou VI, Stowell MHB, Nygaard R, Mancia F

Nature communications 16 (2025)

PMID: 41353435

DOI: 10.1038/s41467-025-66769-7

Related EMDB entry:

EMD-49935 EMD-49933 EMD-49932 EMD-49931 EMD-49930

Deposited:

2025-03-27

Released:

2026-02-05

Last modified:

2026-02-05

Imageset size:

3.54 TB

Imageset DOI:

10.6019/EMPIAR-12683

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of cryo-TREM dataset including GtrB tetramer particles, substrate-bound state, product-bound & pre-catalysis state, and pre-intermediate state

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

9219

Image size:

(None, None)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.83, 0.83)

Details:

---

Files:

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2. Unaligned multi-frame micrographs of apo-GtrB

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3757

Image size:

(4092, 5760)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.95, 0.95)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

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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)

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)