EMPIAR-11084 - Human amino acid transporter EAAT2 [multiple data sets in TIFF format]

EMPIAR-11084

Human amino acid transporter EAAT2 [multiple data sets in TIFF format]

Publication:

Structural insights into inhibitory mechanism of human excitatory amino acid transporter EAAT2

Kato T, Kusakizako T, Jin C, Zhou X, Ohgaki R, Quan L, Xu M, Okuda S, Kobayashi K, Yamashita K, Nishizawa T, Kanai Y, Nureki O

Nature communications 13 (2022)

PMID: 35953475

DOI: 10.1038/s41467-022-32442-6

Related EMDB entry:

EMD-32098 EMD-32097

Deposited:

2021-11-15

Released:

2022-09-20

Last modified:

2022-09-20

Imageset size:

1.69 TB

Imageset DOI:

10.6019/EMPIAR-11084

Experimental metadata:

Download xml json

Deposited via PDBj

Contains:

micrographs - multiframe

Image Sets

1. Unaligned movies for apo structure

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3351

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.85, 0.85)

Details:

300 kV
Cs 2.7 mm
Flux: 50e/A2 over 63 frames
Please use movie_gain.mrc as a gain reference without any rotation or flipping.
Four digits (0000 to 0008) in the file names represent the direction of beam shift.

Files:

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2. Unaligned movies for the inhibitor bound structure

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3274

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.85, 0.85)

Details:

300 kV
Cs 2.7 mm
Flux: 50e/A2 over 48 frames
Please use movie_gain.mrc as a gain reference without any rotation or flipping.
Four digits (0000 to 0008) in the file names represent the direction of beam shift.

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

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

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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)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

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. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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