EMPIAR-12564 - Raw data used to generate the structures of Arp2/3 complex bound to NPFs [multiple data sets in TIFF format]

EMPIAR-12564

Raw data used to generate the structures of Arp2/3 complex bound to NPFs [multiple data sets in TIFF format]

Publication:

NPF binding to Arp2 is allosterically linked to the release of ArpC5’s N-terminal tail and conformational changes in Arp2/3 complex

Saks AJ, Barrie KR, Rebowski G, Dominguez R

Proceedings of the National Academy of Sciences of the United States of America (2025)

DOI: 10.1073/pnas.2421557122

Related EMDB entry:

EMD-46993 EMD-46925 EMD-46934 EMD-46926 EMD-46924 EMD-46913 EMD-46910 EMD-46992

Deposited:

2025-02-10

Released:

2025-07-25

Last modified:

2025-07-25

Imageset size:

4.46 TB

Imageset DOI:

10.6019/EMPIAR-12564

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Dataset 1

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5111

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.43, 0.43)

Details:

Dataset 1 raw movies used to generate the structures described in the paper. A gain reference is also included in data/beckman072524/gainref. The movies were collected in super-resolution mode with a pixel size of 0.43 Å/pix and binned by 2 during motion correction to a pixel size of 0.86 Å/pix.

Files:

This entry cannot be downloaded from PDBj.

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

Depending on the number and size of files to be downloaded, this can take an enormous amount of time. Also, this feature is unstable and may not work properly, and checksums of downloaded files are not verified.

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.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

2. Dataset 2

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

8645

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.43, 0.43)

Details:

Dataset 2 raw movies used to generate the structures described in the paper. A gain reference is also included in data/beckman081324/gainref. The movies were collected in super-resolution mode with a pixel size of 0.43 Å/pix and binned by 2 during motion correction to a pixel size of 0.86 Å/pix.

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.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

Browse All Files

Quick Links

Browse EMPIAR

Sample Preparation Widget

Volume Browser

Tomo Viewer Prototype

Claim entries to your ORCiD

Talks and Tutorials

EMPIAR Quick tour

Publications

Re-use study

Statistics

EMPIAR in the news

COVID-19 Data Portal

EMDB

BioImage Archive

PDBe

EMNavigator@PDBj

PDBj

Citations

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)

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

He L, Bartesaghi A. (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)

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

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

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)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (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)

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)

See all citations

Protein Data Bank Japan News