EMPIAR-11294 - Cryo-EM study on a single, highly heterogeneous cellular fraction with megadalton complexes derived from Chaetomium thermophilum [522 multi-frame micrographs composed of 30 frames each in MRC format]

EMPIAR-11294

Cryo-EM study on a single, highly heterogeneous cellular fraction with megadalton complexes derived from Chaetomium thermophilum [522 multi-frame micrographs composed of 30 frames each in MRC format]

Publication:

Cryo-EM of a heterogeneous cellular fraction elucidates multiple protein complexes from a multicellular thermophilic eukaryote.

Semchonok DA, Kyrilis FL, Hamdi F, Kastritis PL

Journal of Structural Biology: X (---)

DOI: 10.2139/ssrn.4211492

Related EMDB entry:

EMD-15397 EMD-17629

Deposited:

2022-10-27

Released:

2023-08-18

Last modified:

2023-08-18

Imageset size:

489.38 GB

Imageset DOI:

10.6019/EMPIAR-11294

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of heterogeneous cellular fraction (25) containing multiple endogenous protein complexes from a thermophilic eukaryote fungal Chaetomium thermophilum

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

522

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.96, 0.96)

Details:

Cryo-EM of a heterogeneous cellular fraction (25) elucidates multiple endogenous protein complexes from a thermophilic eukaryote.

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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)

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Kv C, Ekundayo B, Di Fabrizio M, Mohammed I, Radecke J, Stahlberg H, Kube M. (2026)