EMPIAR-12264 - ShCas12k in complex with a sgRNA and a dsDNA target [multiple data sets in TIFF and MRC formats]

EMPIAR-12264

ShCas12k in complex with a sgRNA and a dsDNA target [multiple data sets in TIFF and MRC formats]

Publication:

Target site selection and remodelling by type V CRISPR-transposon systems

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

Nature 599 (2021) 497-502

PMID: 34759315

DOI: 10.1038/s41586-021-04030-z

Related EMDB entry:

EMD-13486

Deposited:

2024-08-22

Released:

2025-02-03

Last modified:

2025-02-03

Imageset size:

1.74 TB

Imageset DOI:

10.6019/EMPIAR-12264

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. Unaligned multi-frame micrographs of the ShCas12k in complex with a sgRNA and a dsDNA target

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

10952

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.64, 0.64)

Details:

The micrographs are the 40 raw movie frames (accumulating 51.81 electrons per squared Angstrom in a 1.0 second exposure).

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:

32 BIT FLOAT

Pixel spacing:

(0.64, 0.64)

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)

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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)