EMPIAR-12339 - CryoEM of E. coli RNA polymerase and lambda PR promoter DNA 500 ms after mixing (8 mM CHAPSO) [27923 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-12339

CryoEM of E. coli RNA polymerase and lambda PR promoter DNA 500 ms after mixing (8 mM CHAPSO) [27923 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-41437 EMD-41433 EMD-41439 EMD-41448

Deposited:

2024-10-07

Released:

2025-01-17

Last modified:

2025-01-17

Imageset size:

5.89 TB

Imageset DOI:

10.6019/EMPIAR-12339

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:

27923

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.844, 0.844)

Details:

FEI Titan Krios + Gatan K3, counting mode, BioQuantum energy filter 20 eV slit, Cs accelerating voltage 300 kV; dose rate 41.86 e-/ A^2/s, frame time 0.03 s (50 frames) with total exposure of 1.5 s, total dose of 62.79 e-/A^2; pixel size 0.844 A/px(detector); pixel size 0.422 A/px(image); defocus range -0.8 to -2.5 um; gain reference is 21dec23a_26102237_13_4092x5760_norm_0.mrc (see references folder). The entry contains all movies (27,923) collected during the Krios session. In the publication, only a subset of movies (14056 tiffs containing *b3g2*) were processed in detail.

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)