EMPIAR-10595 - Human NLRP1-DPP9-VbP complex [multiple data sets in TIFF format]

EMPIAR-10595

Human NLRP1-DPP9-VbP complex [multiple data sets in TIFF format]

Publication:

DPP9 sequesters the C terminus of NLRP1 to repress inflammasome activation

Hollingsworth LR, Sharif H, Griswold AR, Fontana P, Mintseris J, Dagbay KB, Paulo JA, Gygi SP, Bachovchin DA, Wu H

Nature (2021)

PMID: 33731932

DOI: 10.1038/s41586-021-03350-4

Related EMDB entry:

EMD-22075

Deposited:

2020-12-15

Released:

2021-04-14

Last modified:

2021-04-14

Imageset size:

1.30 TB

Imageset DOI:

10.6019/EMPIAR-10595

Experimental metadata:

Download xml json

Contains:

micrographs - focal pairs - unprocessed
micrographs - multiframe

Image Sets

1. Unaligned multi frame micographs of NLRP1-DPP9-VbP-noTILT

Category:

micrographs - focal pairs - unprocessed

Image format:

TIFF

No. of images or tilt series:

3553

Image size:

(None, None)

Pixel type:

BIT

Pixel spacing:

(0.825, 0.825)

Details:

The defocus range between −0.8 to −2.2 μm and to record two shots for each of the four holes per stage movement through image shift. All movies were exposed with a total dose of 52.0 e-/Å2 for 2.0 s fractionated over 50 frames.

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2. Unaligned multi frame micographs of NLRP1-DPP9-VbP-TILT

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1954

Image size:

(None, None)

Pixel type:

BIT

Pixel spacing:

(0.825, 0.825)

Details:

An ideal tilt angle of 37° was calculated from this processed dataset using cryoEF. The defocus range between −1.5 to −3.0 μm with two shots recorded for each hole per stage movement through image shift. All movies were
exposed with a total dose of 65.0 e-/Å2 for 2.4 s fractionated over 43 frames

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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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.

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

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

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Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

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Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

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Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

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