EMPIAR-11852 - cryo-EM 3D maps of the S. cerevisiae Yta7 bound to ATPgS and histone H3 tail [12138 multi-frame micrographs composed of 75 frames each in TIFF format]

EMPIAR-11852

cryo-EM 3D maps of the S. cerevisiae Yta7 bound to ATPgS and histone H3 tail [12138 multi-frame micrographs composed of 75 frames each in TIFF format]

Publication:

The Saccharomyces cerevisiae Yta7 ATPase hexamer contains a unique bromodomain tier that functions in nucleosome disassembly

Wang F, Feng X, He Q, Li H, Li H

The Journal of biological chemistry 299 (2022) 102852-102852

PMID: 36592926

DOI: 10.1016/j.jbc.2022.102852

Related EMDB entry:

EMD-26696 EMD-26697

Deposited:

2024-01-08

Released:

2024-04-09

Last modified:

2024-04-09

Imageset size:

6.92 TB

Imageset DOI:

10.6019/EMPIAR-11852

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. unaligned multi-frame micrographs of Yta7 hexamer bound to ATPgS and histone H3 tail

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

12138

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.43, 0.43)

Details:

The polished particle positions in corresponding shiny.star file. The nicrographs are the average, without any realigment, of 75 raw movie frames (accumulating 65 electron per squared Angstrom in a 1.5 second exposure)

Files:

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Citations

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He L, Bartesaghi A. (2026)

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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)