EMPIAR-10279 - Cryo-EM structure of TMEM16F in digitonin without calcium bound [stack of 2249 particles in MRCS format]

EMPIAR-10279

Cryo-EM structure of TMEM16F in digitonin without calcium bound [stack of 2249 particles in MRCS format]

Publication:

Cryo-EM Studies of TMEM16F Calcium-Activated Ion Channel Suggest Features Important for Lipid Scrambling

Feng S, Dang S, Han TW, Ye W, Jin P, Cheng T, Li J, Jan YN, Jan LY, Cheng Y

Cell reports 28 (2019) 567-579.e4

PMID: 31291589

DOI: 10.1016/j.celrep.2019.06.023

Related EMDB entry:

EMD-20245

Deposited:

2019-05-27

Released:

2020-04-21

Last modified:

2019-05-27

Imageset size:

289.46 GB

Imageset DOI:

10.6019/EMPIAR-10279

Experimental metadata:

Download xml json

Contains:

picked particles - single frame - processed

Image Sets

1. Automated picked particle stack of TMEM16F in digitonin without calcium bound

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

2249

Image size:

(256, 256)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.059, 1.059)

Details:

All.star includes all automatically picked particles. Final.star includes particles for final reconstruction.

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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)