EMPIAR-10009 - Cryo-electron tomography average of an C1-IgG complex [27 class averages in MRC format]

EMPIAR-10009

Cryo-electron tomography average of an C1-IgG complex [27 class averages in MRC format]

Publication:

Complement is activated by IgG hexamers assembled at the cell surface.

Diebolder CA, Beurskens FJ, de Jong RN, Koning RI, Strumane K, Lindorfer MA, Voorhorst M, Ugurlar D, Rosati S, Heck AJR, van de Winkel JGJ, Wilson IA, Koster AJ, Taylor RP, Ollmann Saphire E, Burton DR, Schuurman J, Gros P, Parren PWHI

Science 343 (2014) 1260-1263

PMID: 24626930

DOI: doi:10.1126/science.1248943

Related EMDB entry:

EMD-2506 EMD-2507

Deposited:

2014-06-12

Released:

2014-06-19

Last modified:

2014-06-19

Imageset size:

10.76 GB

Imageset DOI:

10.6019/EMPIAR-10009

Experimental metadata:

Download xml json

Version history:

2015-10-27

REL

Restructured the entry directory to have "data" and ".private".

Contains:

class averages

Image Sets

1. C1-IgG complex tilt series

Category:

class averages

Image format:

MRC

No. of images or tilt series:

Image size:

(2048, 2048)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(4.3, 4.3)

Details:

51 images per tilt series; Double tilt (not all complete); Tilt range +/- 60; saxton scheme with 3 deg increment at 0 tilt

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Citations

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)

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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (2026)

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

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)