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:

1.54 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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rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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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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)