EMPIAR-12582 - Pichia pastoris mitochondrial complex I reconstituted into proteoliposomes [854 multi-frame micrographs composed of 33 frames each in MRC format]

EMPIAR-12582

Pichia pastoris mitochondrial complex I reconstituted into proteoliposomes [854 multi-frame micrographs composed of 33 frames each in MRC format]

Publication:

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J

Science advances 11 (2025)

PMID: 41032597

DOI: 10.1126/sciadv.adz0693

Related EMDB entry:

EMD-52893 EMD-52892 EMD-52891 EMD-52890

Deposited:

2025-02-24

Released:

2025-10-30

Last modified:

2025-10-30

Imageset size:

537.11 GB

Imageset DOI:

10.6019/EMPIAR-12582

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

MRC movies (FoilHole_*_Fractions.mrc) in this entry were compressed by bzip2 (pbzip2)
by EMPIAR Japan to save space and bandwidth.

Some programs (e.g. RELION >= 4.0.1 and CryoSPARC) can process compressed movies without explicit
decompression. For other programs, movies have to be decompressed beforehand. In this case,
you might want to convert decompressed MRC movies into TIFF to save your local storage.

Original size:   923,468,634 kilobytes
Compressed size: 563,205,863 kilobytes

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of Pichia pastoris (Komagataella phaffii) mitochondrial complex I from an as-prepared sample solubilised in LMNG and reconstituted in to proteoliposomes.

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

854

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.37, 1.37)

Details:

Unaligned multi-frame micrographs of Pichia pastoris (Komagataella phaffii) mitochondrial complex I from an as-prepared sample solubilised in LMNG and reconstituted in to proteoliposomes. Frozen on Qunatifoil gold grids. Gain-corrected mages (MRC) were collected with a 200 keV FEI Talos Arctica on a Falcon 3EC detector. The C2 and objective lens apertures were set to 50 and 100 µm, respectively. 1.69 s exposures were captured in 33 frames with a total dose of 50.37 e-/Å-2. A pixel size of 1.37 Å/pixel was used.

Files:

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)