EMPIAR-13156 - FIB-SEM imaging of control HeLa cells, cells expressing WT STARD3, and cells expressing the STARD3 FA/YA mutant [multiple data sets in TIFF format]

EMPIAR-13156

FIB-SEM imaging of control HeLa cells, cells expressing WT STARD3, and cells expressing the STARD3 FA/YA mutant [multiple data sets in TIFF format]

Publication:

STARD3 regulates lysosome positioning and contacts via a GSK3-controlled phosphorylation switch

Eichler J, Wendling C, Huver S, Zouiouich M, Hanss V, Cardinal A, Fimbel V, Birck C, McEwen AG, Knorr C, Fromental-Ramain C, Boutry M, Chenard MP, Drin G, Tomasetto C, Alpy F

The EMBO journal (2026)

PMID: 41741634

DOI: 10.1038/s44318-026-00705-3

Related EMDB entry:

Deposited:

2025-12-04

Released:

2026-02-26

Last modified:

2026-03-02

Imageset size:

10.29 GB

Imageset DOI:

10.6019/EMPIAR-13156

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. HeLa/Ctrl

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

994

Image size:

(2768, 1188)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(80.0, 80.0)

Details:

---

Files:

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2. HeLa/STARD3

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

810

Image size:

(2418, 2748)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(50.0, 50.0)

Details:

---

Files:

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3. HeLa/STARD3 FA/YA

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

600

Image size:

(2516, 1092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(80.0, 80.0)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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Citations

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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)

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)

Ultrathin liquid cells for microsecond time-resolved cryo-EM.

Curtis WA, Wenz J, Krüger CR, Barrass SV, Drabbels M, Lorenz UJ. (2026)

GTpick: A deep neural network for Cryo-EM particle detection.

Ni S, Yang C, Liu Y, Zhang Y, Shi Y, Qian A, Kong R, Chang S. (2025)

Species-specific structural adaptation of the potyviral coat protein in virions and virus-like particles.

Koritnik N, Kežar A, Kavčič L, Žnidarič MT, Leonardi A, De S, Pollari M, Mäkinen K, Podobnik M. (2026)

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

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