EMPIAR-11930 - CryoEM of Tropomyosin-receptor kinase fused gene protein (TRK-fused gene protein; TFG) Low Complexity Domain (residues 237-327) P285L mutant, amyloid fibers [7921 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-11930

CryoEM of Tropomyosin-receptor kinase fused gene protein (TRK-fused gene protein; TFG) Low Complexity Domain (residues 237-327) P285L mutant, amyloid fibers [7921 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Fibril structures of TFG protein mutants validate the identification of TFG as a disease-related amyloid protein by the IMPAcT method

Rosenberg GM, Abskharon R, Boyer DR, Ge P, Sawaya MR, Eisenberg DS

PNAS nexus 2 (2023)

PMID: 38077690

DOI: 10.1093/pnasnexus/pgad402

Related EMDB entry:

EMD-41198

Deposited:

2024-02-29

Released:

2025-04-10

Last modified:

2025-04-10

Imageset size:

3.54 TB

Imageset DOI:

10.6019/EMPIAR-11930

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Multi-frame micrographs of amyloid fibrils formed by the LCD of TFG with the P285L mutation

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7921

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

---

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)