EMPIAR-12312 - Cryo-EM micrographs for a recombinant human PNMA2 capsid [17600 multi-frame micrographs composed of 24 frames each in TIFF format]

EMPIAR-12312

Cryo-EM micrographs for a recombinant human PNMA2 capsid [17600 multi-frame micrographs composed of 24 frames each in TIFF format]

Publication:

Human paraneoplastic antigen Ma2 (PNMA2) forms icosahedral capsids that can be engineered for mRNA delivery

Madigan V, Zhang Y, Raghavan R, Wilkinson ME, Faure G, Puccio E, Segel M, Lash B, Macrae RK, Zhang F

Proceedings of the National Academy of Sciences of the United States of America 121 (2024) e2307812120-308

PMID: 38437549

DOI: 10.1073/pnas.2307812120

Related EMDB entry:

EMD-42812

Deposited:

2024-03-28

Released:

2025-04-24

Last modified:

2025-04-24

Imageset size:

1.78 TB

Imageset DOI:

10.6019/EMPIAR-12312

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame movies of recombinant PNMA2

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

17600

Image size:

(5760, 4092)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.6788, 0.6788)

Details:

Unaligned, non-gain-normalised, 24-frame movies from a Bioquantum-K3 camera recorded in super-resolution mode with twofold binning at 130,000x magnification with EPU on the MIT.nano Titan Krios G3i at 300keV. Please apply "gainref.mrc" during motion correction. This can be used as is for cryosparc, and with "Flip upside down (1)" in RELION. "particles.star" contains the final picked particles in EMD-42812

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)

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

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)