EMPIAR-12053 - CryoEM of near-native eisosome/Membrane Compartment containing Can1 (MCC) membrane microdomain scaffolded by Pil1/Lsp1 [2827 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-12053

CryoEM of near-native eisosome/Membrane Compartment containing Can1 (MCC) membrane microdomain scaffolded by Pil1/Lsp1 [2827 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Cryo-EM architecture of a near-native stretch-sensitive membrane microdomain

Kefauver JM, Hakala M, Zou L, Alba J, Espadas J, Tettamanti MG, Gajić J, Gabus C, Campomanes P, Estrozi LF, Sen NE, Vanni S, Roux A, Desfosses A, Loewith R

Nature 632 (2024) 664-671

PMID: 39048819

DOI: 10.1038/s41586-024-07720-6

Related EMDB entry:

EMD-18307 EMD-18312 EMD-18311

Deposited:

2024-04-11

Released:

2024-08-27

Last modified:

2024-08-27

Imageset size:

559.92 GB

Imageset DOI:

10.6019/EMPIAR-12053

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of near-native eisosome/Membrane Compartment containing Can1 (MCC) membrane microdomain scaffolded by Pil1/Lsp1

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2827

Image size:

(3838, 3710)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(None, None)

Details:

The micrographs are the unprocessed, raw micrographs (40 frames / micrograph).

Files:

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Citations

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (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)

See all citations

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