CyTOF and Flow Cytometry Data for Parkinson's Disease Immune Response

ETH Zurich researchers led by Christophe Capelle generated this dataset for a 2023 Nature Communications study on idiopathic Parkinson's disease. It contains raw mass cytometry (CyTOF) and flow cytometry fcs files from discovery and validation analyses of immune cells in blood samples. The dataset includes files for five staining panels, cytotoxicity analysis within CD8 T cells, and single-color compensation controls.

Use Cases

• Reproducing published figures from the associated Nature Communications paper based on the provided Source Data files.
• Analyzing immune cell differentiation and cytotoxicity in CD8 T-cells based on the described flow cytometry panels.
• Developing computational compensation methods based on the provided single-color/fluorochrome staining files.
• Comparing immune signatures between fresh and cryopreserved blood samples as mentioned in the validation analysis.
• Benchmarking cytometry data analysis tools using raw fcs files from a published Parkinson's disease study.

Strengths

• Data is directly associated with a peer-reviewed publication in Nature Communications (2023).
• Includes both discovery (CyTOF and fresh blood) and validation (cryopreserved samples) datasets.
• Provides compensation controls via single-color staining files, which are essential for accurate analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect the specific cohort bias inherent to the single study from paperswithcode.

Provenance

Source

ETH Zurich (Christophe Capelle)

Collection Method

Mass cytometry (CyTOF) and flow cytometry measurements of blood samples from Parkinson's disease patients and controls.