CryoET Training data from CryoET Training data from milled G-TPP-treated HeLa cells (tilt-series)

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Data DOI: 10.15785/SBGRID/1273 | ID: 1273

Publication DOI: 10.1101/2025.10.06.680693

Ruben Fernandez-Busnadiego, University of Göttingen

Release Date: 10 Jul 2026

Data Access Instructions

1. If this dataset is locally available, it should be accessable at /programs/datagrid/1273

2. To download this dataset, please run the following command from your Terminal on a Linux or OS X workstation:

'rsync -av rsync://data.sbgrid.org/10.15785/SBGRID/1273 .' (Harvard Medical School, USA)

Depending on your location, faster access may be available from a Tier 1 site closer to your location

'rsync -av rsync://sbgrid.icm.uu.se/10.15785/SBGRID/1273 .' (Uppsala University, Sweden)

'rsync -av rsync://sbgrid.pasteur.edu.uy/10.15785/SBGRID/1273 .' (Institut Pasteur de Montevideo, Uruguay)

'rsync -av rsync://sbgrid.ncpss.org/10.15785/SBGRID/1273 .' (Shanghai Institutes for Biological Sciences, China)

3. After the transfer is completed, please issue the following command to verify data integrity:

'cd 1273 ; shasum -c files.sha'

Storage requirements: 4.4G

Biological Sample:

CryoET Training data from milled G-TPP-treated HeLa cells (tilt-series)

Dataset Type:

CryoET Training

Subject Composition:

Protein

Collection Facility:

Unknown

Data Creation Date:

19 Oct 2022

Related Datasets:

None


Cite this Dataset

Eruera, A; Antico, O; Azem, A; Ehses, K; Fernández-Busnadiego, R; Lopez-Alonso, JP; Muqit, MM. K; Ubarretxena-Belandia, I; Ruben Fernandez-Busnadiego, R. 2026. "CryoET Training data for: CryoET Training data from milled G-TPP-treated HeLa cells (tilt-series).", SBGrid Data Bank, V1, https://doi.org/10.15785/SBGRID/1273.

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Dataset Description

Two raw tilt-series (in MRC format) of FIB-milled G-TPP-treated HeLa cells that have been milled. The dataset contains mitochondria and cytoplasmic ribosomes as well as mHSP60-mHSP10 chaperonin "football" complexes. MRC files and MDOC files are provided. See the Processing Bundle below for all the scripts necessary to reconstruct the data to low-resolution following our tutorial. This tutorial involves template matching, subtomogram averaging, membrane segmentation, and particle place-back. See the processing instruction document for full details. Storage required: 4.4 G (dataset size) and 50G (storage for processing files when the tutorial has been completed).

Project Members

Name Additional Roles Affiliation While Working on the Project
Alice-Roza ErueraDepositorHarvard Medical School
Odetta AnticoData CollectorAligning Science Across Parkinson’s (ASAP) Collaborative Research Network,
Abdussalam AzemData CollectorTel Aviv University
Kenneth EhsesData CollectorUniversity Medical Center Göttingen, Institute for Neuropathology, Göttingen, Germany
Rubén Fernández-BusnadiegoData CollectorUniversity Medical Center Göttingen
Jorge P Lopez-AlonsoData CollectorBiofisika Institute (CSIC-UPV/EHU), University of the Basque Country, Leioa, Spain
Miratul M. K MuqitData CollectorAligning Science Across Parkinson’s (ASAP) Collaborative Research Network
Iban Ubarretxena-BelandiaData CollectorBiofisika Institute (CSIC-UPV/EHU), University of the Basque Country, Leioa, Spain.
Ruben Ruben Fernandez-BusnadiegoPIUniversity of Göttingen

Reprocessing Instructions

The processing instructions can be found here: https://docs.google.com/document/d/1heC_HsmRq3WPnsQAt1TAbMOwjDI-gQnDtwUeipbs3gQ/edit?tab=t.0 Please download the Processing Bundle attached to obtain the scripts referenced in the documentation above.

Processing Bundle


License and Terms of use

License: CC0

Terms: Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation, as generated by the SBGrid Data Bank.