EMPIAR-13373 - Raw and motion corrected micrographs for Cryo-EM structure of rat TRPM1 in the apo state [multiple data sets in MRC format]

EMPIAR-13373

Raw and motion corrected micrographs for Cryo-EM structure of rat TRPM1 in the apo state [multiple data sets in MRC format]

Publication:

Cryo-EM structure of TRPM1 reveals a non-canonical architecture with an inverted transmembrane domain

Fabrizio M, Brewer M, Bogdanović N, Zhao C

Nature communications (2026)

PMID: 41857038

DOI: 10.1038/s41467-026-70722-7

Related EMDB entry:

EMD-70771

Deposited:

2026-03-04

Released:

2026-04-13

Last modified:

2026-04-13

Imageset size:

5.66 TB

Imageset DOI:

10.6019/EMPIAR-13373

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Motion corrected micrographs of TRPM1 in the Apo state

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

18322

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.954, 0.954)

Details:

These are the motion corrected micrographs of TRPM1 in the apo state (accumulating 50 electron per squared angstrom in a 5.06 second exposure).

Files:

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2. Non-Motion corrected micrographs of TRPM1 in the Apo state

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

18322

Image size:

(2048, 2048)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.954, 0.954)

Details:

These are the raw micrographs of TRPM1 in the apo state (accumulating 50 electron per squared angstrom in a 5.06 second exposure).

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

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)