EMPIAR-10965 - Cryo-EM structure of human RNA polymerase I in elongation state [10053 multi-frame micrographs composed of 38 frames each in TIFF format]

EMPIAR-10965

Cryo-EM structure of human RNA polymerase I in elongation state [10053 multi-frame micrographs composed of 38 frames each in TIFF format]

Publication:

Cryo-EM structures of human RNA polymerase I

Misiaszek AD, Girbig M, Grötsch H, Baudin F, Murciano B, Lafita A, Müller CW

Nature structural & molecular biology 28 (2021) 997-1008

PMID: 34887565

DOI: 10.1038/s41594-021-00693-4

Related EMDB entry:

EMD-12795

Deposited:

2022-02-22

Released:

2022-03-15

Last modified:

2022-03-15

Imageset size:

3.94 TB

Imageset DOI:

10.6019/EMPIAR-10965

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of human RNA polymerase I in elongating state

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

10053

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.822, 0.822)

Details:

Unaligned multi-frame (38 frames) micrographs acquired over 1.52s with 1.77 e/Å2/frame over 38 frames giving total electron dose of 51 e/Å2 with defocus range of 1.0–2.5 μm.Gain reference is in CountRef_200820_Krios_Pol1_DNA_00001_1-1.mrc file.

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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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