EMPIAR-11804 - Cryo-EM structure of the IS621 recombinase in complex with bridge RNA, donor DNA, and target DNA [multiple data sets in TIFF format]

EMPIAR-11804

Cryo-EM structure of the IS621 recombinase in complex with bridge RNA, donor DNA, and target DNA [multiple data sets in TIFF format]

Publication:

Structural mechanism of bridge RNA-guided recombination

Hiraizumi M, Perry NT, Durrant MG, Soma T, Nagahata N, Okazaki S, Athukoralage JS, Isayama Y, Pai JJ, Pawluk A, Konermann S, Yamashita K, Hsu PD, Nishimasu H

Nature 630 (2024) 994-1002

PMID: 38926616

DOI: 10.1038/s41586-024-07570-2

Related EMDB entry:

EMD-37830 EMD-37828 EMD-37827 EMD-37829

Deposited:

2023-12-04

Released:

2024-08-02

Last modified:

2024-08-02

Imageset size:

6.56 TB

Imageset DOI:

10.6019/EMPIAR-11804

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. EMD-37827 (wt)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5586

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

gain: wt/GridSquare_31369277/Data/FoilHole_31374296_Data_31370760_31370762_20230331_214734_gain.tiff

Files:

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2. EMD-37828 (pre)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5499

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

gain: pre/GridSquare_5817871/Data/FoilHole_5869224_Data_5868371_5868373_20230806_235409_gain.tiff

Files:

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3. EMD-37829 and EMD-37830 (post1 and post2)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

15572

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

gain: post/data_1/GridSquare_18363291/Data/FoilHole_18367703_Data_18364092_18364094_20230818_171256_gain.tiff

Files:

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.

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Citations

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (2025)

Icecream: High-Fidelity Equivariant Cryo-Electron Tomography

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

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