EMPIAR-12146 - Cryo-EM structure of uropathogenic Escherichia coli CysK:CdiA:tRNA complex [7044 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-12146

Cryo-EM structure of uropathogenic Escherichia coli CysK:CdiA:tRNA complex [7044 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Mechanism of activation of contact-dependent growth inhibition tRNase toxin by the amino acid biogenesis factor CysK in the bacterial competition system

Feng Z, Yashiro Y, Tomita K

Nucleic acids research (2024)

PMID: 39228374

DOI: 10.1093/nar/gkae735

Related EMDB entry:

EMD-60564 EMD-60561 EMD-60563 EMD-60562

Deposited:

2024-06-20

Released:

2024-09-26

Last modified:

2024-09-26

Imageset size:

1.54 TB

Imageset DOI:

10.6019/EMPIAR-12146

Experimental metadata:

Download xml json

Deposited via PDBj

Contains:

micrographs - multiframe

Image Sets

1. Imageset

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7044

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

- Microscope: FEI TITAN Krios
- Acceleration voltage (kV): 300
- Pixel size (Å/pix): 0.83
- Spherical aberration (Cs) : 2.7
- Nominal Defocus (nm): -800 to -1800
- Detector: Gatan K3 BIOQUANTUM
- Average electron dose per image (e-/A2): 50
- Number of frames per image: 50
- Please use gain.mrc as a gain reference.
- In CryoSPARC, select "flip gain ref in Y".

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Citations

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

He L, Bartesaghi A. (2026)

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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)