EMPIAR-10303 - Cryo-EM structures of human P4-ATPase flippase [multiple data sets in TIFF format]

EMPIAR-10303

Cryo-EM structures of human P4-ATPase flippase [multiple data sets in TIFF format]

Publication:

Cryo-EM structures capture the transport cycle of the P4-ATPase flippase

Hiraizumi M, Yamashita K, Nisihzawa T, Nureki O

Science (New York, N.Y.) (2019)

PMID: 31416931

DOI: 10.1126/science.aay3353

Related EMDB entry:

EMD-9939 EMD-9935 EMD-9932 EMD-9937 EMD-9931 EMD-9934 EMD-9942 EMD-9941 EMD-9936 EMD-9940 EMD-9933 EMD-9938

Deposited:

2019-07-22

Released:

2019-08-30

Last modified:

2019-08-30

Imageset size:

11.02 TB

Imageset DOI:

10.6019/EMPIAR-10303

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned movies for E2P class 1,2,3

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

6257

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

Images are gain-corrected. Note that we started processing with the nominal pixel size of 0.85 Å (as shown in the tiff header) and finally changed the value in PostProcess so that the pixels had the calibrated size of 0.83 Å.

Files:

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2. Unaligned movies for E2Pi-PL and E1P

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

6843

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

Gain reference is provided, which need to be flipped ('Flip upside down (1)' in RELION).

Files:

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)

3. Unaligned movies for E1P-ADP

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

4401

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

Gain reference is provided, which need to be flipped ('Flip upside down (1)' in RELION).

Files:

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)

4. Unaligned movies for E1 class1,2,3

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3590

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

Gain reference is provided, which need to be flipped ('Flip upside down (1)' in RELION).

Files:

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)

5. Unaligned movies for E1-ATP class 1,2,3

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

4333

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.83, 0.83)

Details:

Gain reference is provided, which need to be flipped ('Flip upside down (1)' in RELION).

Files:

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)

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Citations

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels.

Uddin MR, Ahmed AY, Tabib HMS, Tahmid MT, Alam MZU, Freyberg Z, Xu M. (2025)

Structural insight into bicarbonate-mediated carboxylation by human vitamin K-dependent carboxylase.

Wu K, Wang Z, Yao D, Li S, Wang X, Zhang Y, Cao M, Shen Y, Xing S, Wu J, Lei M, Lan P. (2025)

Conserved hydrophilic checkpoints tune FocA-mediated formate:H<sup>+</sup> symport.

Tüting C, Janson K, Kammel M, Ihling C, Lorenz J, Kyrilis FL, Hamdi F, Erdmann C, Sinz A, Sawers RG, Kastritis PL. (2025)

Icecream: High-Fidelity Equivariant Cryo-Electron Tomography

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2025)

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