EMPIAR-11233 - Particle stack from TRPM8 bound to calcium dataset [multiple data sets in MRC format]

EMPIAR-11233

Particle stack from TRPM8 bound to calcium dataset [multiple data sets in MRC format]

Publication:

Structural insights into TRPM8 inhibition and desensitization

Diver MM, Cheng Y, Julius D

Science 365 (2019) 1434-1440

PMID: 31488702

DOI: 10.1126/science.aax6672

Related EMDB entry:

EMD-0639

Deposited:

2022-09-16

Released:

2022-10-04

Last modified:

2022-10-04

Imageset size:

139.27 GB

Imageset DOI:

10.6019/EMPIAR-11233

Experimental metadata:

Download xml json

Contains:

picked particles - single frame - processed

Image Sets

1. Dataset of TRPM8 bound to calcium, intermediate processed stack

Category:

picked particles - single frame - processed

Image format:

MRC

No. of images or tilt series:

297750

Image size:

(320, 320)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.059, 1.059)

Details:

This dataset contains TRPM8 particles bound to calcium. It is a larger particle stack containing ~300k particles, a subset of which yielded the final published reconstruction.

Files:

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

2. Dataset of TRPM8 bound to calcium, processed stack from final reconstruction

Category:

picked particles - single frame - processed

Image format:

MRC

No. of images or tilt series:

42040

Image size:

(320, 320)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.059, 1.059)

Details:

This dataset contains TRPM8 particles bound to calcium. It contains the ~40k particles that went into the final published reconstruction. It is a subset of the larger particle stack containing ~300k particles (uploaded in parallel).

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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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.

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In situ structure determination of conformationally flexible targets using nextPYP.

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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

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