EMPIAR-12338 - CryoEM of E. coli RNA polymerase and lambda PR promoter DNA at equilibrium at 5 degrees Celsius [2764 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-12338

CryoEM of E. coli RNA polymerase and lambda PR promoter DNA at equilibrium at 5 degrees Celsius [2764 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Early intermediates in bacterial RNA polymerase promoter melting visualized by time-resolved cryo-electron microscopy

Saecker RM, Mueller AU, Malone B, Chen J, Budell WC, Dandey VP, Maruthi K, Mendez JH, Molina N, Eng ET, Yen LY, Potter CS, Carragher B, Darst SA

Nature structural & molecular biology (2024)

PMID: 38951624

DOI: 10.1038/s41594-024-01349-9

Related EMDB entry:

EMD-41439 EMD-41448 EMD-41437 EMD-41433

Deposited:

2024-10-04

Released:

2024-12-05

Last modified:

2024-12-05

Imageset size:

1.27 TB

Imageset DOI:

10.6019/EMPIAR-12338

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned raw movies

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2764

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.096, 1.096)

Details:

FEI Titan Krios + Gatan K2, super-resolution, energy filter 20 eV slit, Cs 0.001 mm; accelerating voltage 300 kV; dose rate 6.76 e-/ A^2/s; frame time 0.2 s (50 frames) total exposure of 10 s, total dose of 67.63, e-/A^2, pixel size 1.096 A/px(detector); pixel size 0.548 A/px(image); defocus range -1.0 to -2.5 um; gain reference is 18aug21g_22103126_05_7420x7676_norm_0_mod.mrc (references folder).

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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)

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

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

In situ structure determination of conformationally flexible targets using nextPYP.

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

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

Cryo-EM Structure Reconstruction by Gaussian Splatting: Pushing the Resolution to Extreme

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2025)

Molecular exaptation by the integrin αI domain.

Hollis JA, Chan MC, Malik HS, Campbell MG. (2025)

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