EMPIAR-11967 - Cryo-EM structure of P-Rex1-IP4 [multiple data sets in MRCS and TIFF formats]

EMPIAR-11967

Cryo-EM structure of P-Rex1-IP4 [multiple data sets in MRCS and TIFF formats]

Publication:

Structural and dynamic changes in P-Rex1 upon activation by PIP3 and inhibition by IP4

Ravala SK, Adame-Garcia SR, Li S, Chen CL, Cianfrocco MA, Gutkind JS, Cash JN, Tesmer JJG

eLife (2024)

DOI: 10.7554/eLife.92822.1

Related EMDB entry:

EMD-41621

Deposited:

2024-03-14

Released:

2024-04-11

Last modified:

2024-04-11

Imageset size:

3.00 TB

Imageset DOI:

10.6019/EMPIAR-11967

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Dataset 3-11-21 with tilted movies, micrographs, and particles.

Category:

micrographs - multiframe

Image format:

MRCS

No. of images or tilt series:

860

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

---

Files:

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2. Dataset 6-21-21 with tilted movies, micrographs, and particles.

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2435

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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3. Dataset 6-23-21 with untilted movies, micrographs, and particles.

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2448

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.06, 1.06)

Details:

---

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.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

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)

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.

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

In situ structure determination of conformationally flexible targets using nextPYP.

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

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

See all citations

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