EMPIAR-10913 - Cryo-EM micrographs of GABA(A)Rs purified from cells expressing human full-length alpha4, beta3 and delta subunits, in presence of HEPES and nanobody Nb25 [18161 multi-frame micrographs composed of 32 frames each in TIFF format]

EMPIAR-10913

Cryo-EM micrographs of GABA(A)Rs purified from cells expressing human full-length alpha4, beta3 and delta subunits, in presence of HEPES and nanobody Nb25 [18161 multi-frame micrographs composed of 32 frames each in TIFF format]

Publication:

Differential assembly diversifies GABA_A receptor structures and signalling

Chirgadze DY, Sente A, Miller KW, Desai R, Aricescu AR, Naydenova K, Malinauskas T, Jounaidi Y, Miehling J, Zhou X, Masiulis S, Hardwick SW

Nature (2022)

PMID: 35355020

DOI: 10.1038/s41586-022-04517-3

Related EMDB entry:

EMD-14068 EMD-14067

Deposited:

2021-12-29

Released:

2022-04-04

Last modified:

2022-04-04

Imageset size:

4.56 TB

Imageset DOI:

10.6019/EMPIAR-10913

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of GABA(A) receptors purified from cells expressing alpha4, beta3 and delta subunits, in presence of HEPES and nanobody Nb25

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

18161

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.325, 0.325)

Details:

K3 super-resolution movies with a total dose of 40 e/A2 and exposure time of 1.31 s.
The gain reference used for data processing is given in data/superres_gain_from_epu.mrc. In RELION:
Gain rotaion: 180 degrees (2)
Gain flip: flip left to right (2)

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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)

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.

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)

EMICSS: added-value annotations for EMDB entries.

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

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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