EMPIAR-11905 - Single particle cryo-EM of ASCT2 in lipid nanodiscs under Na+-depleted conditions [multiple data sets in TIFF format]

EMPIAR-11905

Single particle cryo-EM of ASCT2 in lipid nanodiscs under Na+-depleted conditions [multiple data sets in TIFF format]

Publication:

Structural basis of the obligatory exchange mode of human neutral amino acid transporter ASCT2

Borowska AM, Chiariello MG, Garaeva AA, Rheinberger J, Marrink SJ, Paulino C, Slotboom DJ

Nature communications 15 (2024)

PMID: 39095408

DOI: 10.1038/s41467-024-50888-8

Related EMDB entry:

EMD-18628 EMD-18627

Deposited:

2024-02-10

Released:

2025-04-24

Last modified:

2025-04-24

Imageset size:

715.20 GB

Imageset DOI:

10.6019/EMPIAR-11905

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned movie frames of ASCT2 in lipid nanodiscs under Na+-depleted conditions (dataset 1)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1633

Image size:

(3838, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.022, 1.022)

Details:

Data represents unaligned multi-frame movies. Each movie contains 60 frames collected from the Quantifoil grid at 200 kV in counting mode on a K2 camera. Total accumulated electron exposure on the specimen level corresponds to 51 electrons per Å^2. Movies are not gain-corrected, and the gain reference is provided. Data is LZW-compressed.

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2. Unaligned movie frames of ASCT2 in lipid nanodiscs under Na+-depleted conditions (dataset 2)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1901

Image size:

(3838, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.022, 1.022)

Details:

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

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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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)