EMPIAR-11662 - Single particle cryo-EM dataset of Yarrowia lipolytica mitochondrial complex I [2540 multi-frame micrographs composed of 25 frames each in MRC format]

EMPIAR-11662

Single particle cryo-EM dataset of Yarrowia lipolytica mitochondrial complex I [2540 multi-frame micrographs composed of 25 frames each in MRC format]

Publication:

Mitochondrial complex I structure reveals ordered water molecules for catalysis and proton translocation

Grba DN, Hirst J

Nature structural & molecular biology 27 (2020) 892-900

PMID: 32747785

DOI: 10.1038/s41594-020-0473-x

Related EMDB entry:

EMD-10815 EMD-10816

Deposited:

2023-08-02

Released:

2024-06-27

Last modified:

2024-06-27

Imageset size:

377.87 GB

Imageset DOI:

10.6019/EMPIAR-11662

Experimental metadata:

Download xml json

Compressed by PDBj:

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

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Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of wild-type Yarrowia lipolytica mitochondrial complex I from an as-prepared sample solubilised in DDM.

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

2540

Image size:

(3838, 3710)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.055, 1.055)

Details:

Unaligned multi-frame micrographs of wild-type Yarrowia lipolytica mitochondrial complex I from an as-prepared sample solubilised in DDM. Frozen gold grids treated with PEGylated thiol reagent. Images (MRC) were collected with a 300 keV FEI Titan Krios on a Gatan K2 Summit detector, using counting mode and a Gatan BioContinuum energy filter (20 eV). The C2 and objective lens apertures were set to 50 and 100 µm, respectively. 10 s exposures were captured in 25 frames with a total dose of ~44 e/Å-2. A pixel size of 1.055 Å/pixel was used.

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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)

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)