EMPIAR-13241 - Cryo-electron tomography of in vitro assembled, GDP-bound, porcine brain microtubules. [9 reconstructed volumes in MRC format]

EMPIAR-13241

Cryo-electron tomography of in vitro assembled, GDP-bound, porcine brain microtubules. [9 reconstructed volumes in MRC format]

Publication:

Microtubules in the axon are GDP-bound but adopt a stable GTP-like expanded state.

Zehr EA, Sun S, Sarbanes SL, Roll-Mecak A

Nature Structural & Molecular Biology (2026)

DOI: 10.1038/s41594-026-01787-7

Related EMDB entry:

EMD-70956

Deposited:

2025-12-09

Released:

2026-03-13

Last modified:

2026-04-15

Imageset size:

722.72 GB

Imageset DOI:

10.6019/EMPIAR-13241

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Reconstructed tomograms collected on in vitro assembled, GDP-bound, porcine brain microtubules.

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

Image size:

(4092, 5760)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(2.116, 2.116)

Details:

These are reconstructed tomograms containing in vitro assembled, GDP-bound, porcine brain microtubules. The tomograms were reconstructed using Etomo and binned 2×. Microtubule lattice spacing analysis was subsequently performed.

Files:

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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)

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)

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)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)