EMPIAR-11910 - Cryo-EM structure of the complete inner kinetochore of the budding yeast point centromere [stack of 100000 particles in MRCS format]

EMPIAR-11910

Cryo-EM structure of the complete inner kinetochore of the budding yeast point centromere [stack of 100000 particles in MRCS format]

Publication:

Cryo-EM structure of the complete inner kinetochore of the budding yeast point centromere

Dendooven T, Zhang Z, Yang J, McLaughlin S, Schwabb J, Scheres S, Yatskevich S, Barford D

Science advances 9 (2023)

PMID: 37506202

DOI: 10.1126/sciadv.adg7480

Related EMDB entry:

EMD-17226

Deposited:

2024-02-06

Released:

2024-06-13

Last modified:

2024-06-13

Imageset size:

51.15 GB

Imageset DOI:

10.6019/EMPIAR-11910

Experimental metadata:

Download xml json

Contains:

picked particles - single frame - processed

Image Sets

1. Particle stack that led to the CBF1:CCAN:CENP-A consensus reconstruction

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

100000

Image size:

(None, None)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.831, 0.831)

Details:

Particle stack that led to the CBF1:CCAN:CENP-A consensus reconstruction. This stack was also used for Dynamight refinements.

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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)