EMPIAR-10320 - cryo-ET of cryo-FIB milled yeast cell in which scs2/22 ist2 are deleted [multiple data sets in MRC format]

EMPIAR-10320

cryo-ET of cryo-FIB milled yeast cell in which scs2/22 ist2 are deleted [multiple data sets in MRC format]

Publication:

Tricalbins Contribute to Cellular Lipid Flux and Form Curved ER-PM Contacts that Are Bridged by Rod-Shaped Structures

Hoffmann PC, Bharat TAM, Wozny MR, Boulanger J, Miller EA, Kukulski W

Developmental Cell 51 (2019)

DOI: 10.1016/j.devcel.2019.09.019

Related EMDB entry:

EMD-10308

Deposited:

2019-09-13

Released:

2019-11-18

Last modified:

2019-11-18

Imageset size:

12.84 GB

Imageset DOI:

10.6019/EMPIAR-10320

Experimental metadata:

Download xml json

Contains:

tilt series

Image Sets

1. Tilt series of cryo-FIB milled yeast cell in which scs2/22 and ist2 are deleted

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

121

Image size:

(3708, 3838)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(3.726, 3.726)

Details:

Electron cryo-tomographic tilt-series were collected on a Titan Krios (FEI) operated at 300 kV using a Quantum energy filter (slit width 20 eV) and a K2 direct electron detector (Gatan) in counting mode at a pixel size of 3.7 angstroms and at a dose rate of ~ 2-4 e-/pixel/second on the detector. Tilt-series were acquired between +/- 60 degrees starting from 0 degrees with 1 degrees increment using SerialEM (Mastronarde, 2005) following a grouped dose-symmetric acquisition with a group size of 4 (Bharat et al., 2018; Hagen et al., 2017), and at -5 micron defocus. A dose of 1.0 e-/square angstroms was applied per image of the tilt-series. The tilt-series frames were aligned and then reordered by tilt angle with IMOD.

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2. Tilt series of cryo-FIB milled yeast cell in which scs2/22 and ist2 are deleted

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

121

Image size:

(3710, 3838)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(3.726, 3.726)

Details:

---

Files:

選択したファイルを無圧縮zipファイルにアーカイブ化してダウンロードします。

rsync、aspera、globus 等の利用をおすすめします。

選択したファイルのリストをダウンロードします。

rsyncコマンド等でファイルリストを指定してダウンロードすることが可能です。

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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Citations

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (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)

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (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)

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

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

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

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

See all citations

Protein Data Bank Japan News

[2026-06-10]

333件のPDBエントリーが新たに公開されました。（2026-06-10付）