Published June 9, 2021
| Version v1
Dataset
Open
Deep spatial profiling of human COVID-19 brains
Creators
- Schwabenland, Marius1
- Salié, Henrike2
- Tanevski, Jovan3
- Killmer, Saskia2
- Salvat Lago, Marilyn2
- Schlaak, Alexandra Emilia2
- Mayer, Lena Sophie2
- Matschke, Jakob4
- Pueschel, Klaus5
- Fitzek, Antonia5
- Ondruschka, Ben5
- Mei, Henrik E.6
- Boettler, Tobias2
- Neumann-Haefelin, Christoph2
- Hofmann, Maike2
- Breithaupt, Angele7
- Genc, Nefiye8
- Stadelmann, Christine8
- Saez-Rodriguez, Julio3
- Bronsert, Peter9
- Knobeloch, Klaus-Peter1
- Blank, Thomas1
- Thimme, Robert2
- Glatzel, Markus4
- Prinz, Marco1
- Bengsch, Bertram2
- 1. Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- 2. Faculty of Medicine, Clinic for Internal Medicine II, Gastroenterology, Hepatology, Endocrinology, and Infectious Disease, University Medical Center Freiburg, Freiburg, Germany
- 3. Institute for Computational Biomedicine, Faculty of Medicine, Heidelberg University and Heidelberg University Hospital, Heidelberg, Germany
- 4. Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- 5. Institute of Legal Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- 6. German Rheumatism Research Center Berlin (DRFZ), a Leibniz Institute, Berlin, Germany
- 7. Department of Experimental Animal Facilities and Biorisk Management, Friedrich-Loeffler-Institut, Greifswald-Insel Riems, Germany
- 8. Instute of Neuropathology, University of Goettingen, Germany,
- 9. Institute for Surgical Pathology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
Description
Imaging mass cytometry data (txt files and folders containing single tiffs + cell masks) generated for the analysis of postmortem brains of COVID-19 patients and control groups (multiple sclerosis and patients who received ECMO therapy).
Files
COVID19_brain_all_patients_singletiffs_and_cellmasks.zip
Files
(25.2 GB)
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md5:7ceee350dfab124a9f2b26fac14d1f92
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md5:21c4c0e3aa84774914e0ea39e18ea6b1
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767.2 MB | Preview Download |
Additional details
Related works
- Is derived from
- Journal article: 10.1016/j.immuni.2021.06.002 (DOI)