EMPIAR-12319 - CryoEM of E. coli RNA polymerase on T7A1 promoter DNA [6790 multi-frame micrographs composed of 30 frames each in TIFF format]

EMPIAR-12319

CryoEM of E. coli RNA polymerase on T7A1 promoter DNA [6790 multi-frame micrographs composed of 30 frames each in TIFF format]

Publication:

Structural origins of Escherichia coli RNA polymerase open promoter complex stability

Saecker RM, Chen J, Chiu CE, Malone B, Sotiris J, Ebrahim M, Yen LY, Eng ET, Darst SA

Proceedings of the National Academy of Sciences of the United States of America 118 (2021)

PMID: 34599106

DOI: 10.1073/pnas.2112877118

Related EMDB entry:

EMD-23897

Deposited:

2024-10-03

Released:

2024-12-21

Last modified:

2024-12-21

Imageset size:

1.57 TB

Imageset DOI:

10.6019/EMPIAR-12319

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:

6790

Image size:

(7420, 7676)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

FEI Titan Krios + Gatan K2, super-resolution, energy filter 20 eV slit, Cs 2.7 mm; accelerating voltage 300 kV; dose rate 7.24 e-/ A^2/s; pixel size 1.06 A/px(detector); pixel size 0.53 A/px(image); exposure 6 s; frame time 0.2 s; total dose 43.45 e-/A^2; total frames 30; defocus range -1.1 to -2.4 um; gain reference file 18nov08d_08110340_01_7676x7420_norm_0_mod.mrc is in references folder

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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)

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)

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)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)