EMPIAR-12116 - Cas12k-sgRNA-dsDNA-S15-TniQ-TnsC transposon recruitment complex [multiple data sets in TIFF and DM4 formats]

EMPIAR-12116

Cas12k-sgRNA-dsDNA-S15-TniQ-TnsC transposon recruitment complex [multiple data sets in TIFF and DM4 formats]

Publication:

Structural basis for the assembly of the type V CRISPR-associated transposon complex

Schmitz M, Querques I, Oberli S, Chanez C, Jinek M

Cell 185 (2022) 4999-5010.e17

PMID: 36435179

DOI: 10.1016/j.cell.2022.11.009

Related EMDB entry:

EMD-15975 EMD-15976

Deposited:

2024-02-05

Released:

2025-02-04

Last modified:

2025-02-04

Imageset size:

4.45 TB

Imageset DOI:

10.6019/EMPIAR-12116

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. Unaligned multi-frame micrographs of the Cas12k-sgRNA-dsDNA-S15-TniQ-TnsC transposon recruitment complex

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

16166

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.325, 0.325)

Details:

The micrographs are the 36 raw movie frames (accumulating 67.68 electrons per squared Angstrom in a 1.0 second exposure).

Files:

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2. Gain reference

Category:

micrographs - single frame

Image format:

DM4

No. of images or tilt series:

Image size:

(11520, 8184)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.325, 0.325)

Details:

Gain reference

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)