EMPIAR-12426 - Structure of DNMT3A1-DNMt3L complex on a nucleosome [multiple data sets in TIFF format]

EMPIAR-12426

Structure of DNMT3A1-DNMt3L complex on a nucleosome [multiple data sets in TIFF format]

Publication:

The N-terminal region of DNMT3A combines multiple chromatin reading motifs to guide recruitment

Wapenaar H, Clifford G, Rolls W, Burdett H, Zhang Y, Deák G, Zou J, Taylor MRD, Mills J, Watson JA, Kumar D, Das A, Valsakumar D, Bramham J, Voigt P, Wilson MD

bioRxiv (2023)

DOI: 10.1101/2023.10.29.564595

Related EMDB entry:

EMD-18778

Deposited:

2024-10-21

Released:

2024-11-27

Last modified:

2024-11-27

Imageset size:

2.88 TB

Imageset DOI:

10.6019/EMPIAR-12426

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. unaligned multiple frame raw micrographs for Dataset 2 Nucleosome DNMt3A1-DNMt3L

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

6839

Image size:

(4092, 3456)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.829, 0.829)

Details:

---

Files:

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2. unaligned multiple frame raw micrographs for Dataset 1 Nucleosome DNMt3A1-DNMt3L

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

8522

Image size:

(4092, 3456)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.829, 0.829)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

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Citations

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

He L, Bartesaghi A. (2026)

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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)