EMPIAR-13231 - Single Particle Raw Images for nicotinic receptor alpha 7 in complex with epibatidine and PNU [multiple data sets in TIFF format]

EMPIAR-13231

Single Particle Raw Images for nicotinic receptor alpha 7 in complex with epibatidine and PNU [multiple data sets in TIFF format]

Publication:

Structure and gating mechanism of the α7 nicotinic acetylcholine receptor

Noviello CM, Hibbs RE

Cell 184 (2021) 2121-2.134e+16

PMID: 33735609

DOI: 10.1016/j.cell.2021.02.049

Related EMDB entry:

EMD-22983

Deposited:

2026-01-20

Released:

2026-02-03

Last modified:

2026-02-03

Imageset size:

7.22 TB

Imageset DOI:

10.6019/EMPIAR-13231

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. unaligned raw tiffs of epibatidine + PNU nicotinic receptor alpha 7 complex in nanodisc

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2809

Image size:

(5760, 4092)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.83, 0.83)

Details:

0.83 is Angstrom/pixel. Note there are two datasets, one from July 2019 and one from June 2020. Both were collected on the same setup and can be merged.

Files:

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2. unaligned raw tiffs of epibatidine + PNU nicotinic receptor alpha 7 complex in nanodisc

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

13940

Image size:

(5760, 4092)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.83, 0.83)

Details:

same as above

Files:

This entry cannot be downloaded from PDBj.

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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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)

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

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Peng R, Elkhaligy H, Grant T, Stagg SM. (2025)

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

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