EMPIAR-13079 - Cryo-electron microscopy of LetAB from Escherichia coli [multiple data sets in TIFF format]

EMPIAR-13079

Cryo-electron microscopy of LetAB from Escherichia coli [multiple data sets in TIFF format]

Publication:

LetA defines a structurally distinct transporter family

Santarossa CC, Li Y, Yousef S, Hasdemir HS, Rodriguez CC, Haase MAB, Baek M, Coudray N, Pavek JG, Focke KN, Silverberg AL, Bautista C, Yeh JT, Marty MT, Baker D, Tajkhorshid E, Ekiert DC, Bhabha G

Nature (2026)

PMID: 41565823

DOI: 10.1038/s41586-025-09990-0

Related EMDB entry:

EMD-49152 EMD-49151 EMD-49149 EMD-49150

Deposited:

2025-10-26

Released:

2025-11-20

Last modified:

2026-02-02

Imageset size:

6.23 TB

Imageset DOI:

10.6019/EMPIAR-13079

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of E. coli LetAB

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5372

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.5413, 0.5413)

Details:

TIFF files correspond to raw movie frames collected at no tilt with a total electron dose of 51 e–/Å^2 over a 2 second exposure time. Frames were collected in Leginon using super-resolution mode (super-resolution pixel size of 0.5413 Å/pix).

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2. Unaligned, tilted (-30 degree) multi-frame micrographs of E. coli LetAB

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7083

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.5413, 0.5413)

Details:

TIFF files correspond to raw movie frames collected at a -30 degree tilt with a total electron dose of 51 e–/Å^2 over a 2 second exposure time. Frames were collected in Leginon using super-resolution mode (super-resolution pixel size of 0.5413 Å/pix).

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.

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)