EMPIAR-10385 - Cryo-EM structure of Lumazine Synthase [2874 multi-frame micrographs composed of 39 frames each in MRC format]

EMPIAR-10385

Cryo-EM structure of Lumazine Synthase [2874 multi-frame micrographs composed of 39 frames each in MRC format]

Publication:

Cryo-electron microscopy: an introduction to the technique, and considerations when working to establish a national facility

Bhella D

Biophysical reviews 11 (2019) 515-519

PMID: 31359340

DOI: 10.1007/s12551-019-00571-w

Related EMDB entry:

EMD-10736

Deposited:

2020-03-11

Released:

2020-04-09

Last modified:

2022-01-31

Imageset size:

7.52 TB

Imageset DOI:

10.6019/EMPIAR-10385

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Frame aligned multi-frame movies of Lumazine Synthase imaged on a CryoARM300 and DE64

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

2874

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.597, 0.597)

Details:

Lumazine Synthase was expressed in E.coli and purified by immobilised metal affinity chromatography. Particles were frozen on C-flat R1.2/1.3 grids. Imaging was performed at 200 kX magnification on a JEOL CryoARM 300 equipped with a Direct Electron DE64 detector. Images were collected using SerialEM with image-beam shift to record two shots per hole. The energy-filter slit was not inserted. Images were collected in electron counting mode with two times binning.
To correct for some residual fixed-pattern in the images, a post-collection gain-reference estimate was calculated using Relion, and applied using MotionCor2 with whole-frame motion correction.

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Citations

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)

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)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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