Published November 7, 2019
| Version v1
Dataset
Open
Dataset to demonstrate the use of NicheNet on a Seurat object
Description
Single-cell RNAseq dataset to demonstrate the use of NicheNet directly on a Seurat object. The data came from "Medaglia et al. Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq, Science 2017". This data was generated via the NICHE-seq method to characterize immune cell composition in the T cell area of inguinal lymph nodes, both in steady-state and 72 hours after lymphocytic choriomeningitis virus (LCMV) infection. The Seurat objects contain the aggregated data after applying the Seurat alignment pipeline.
seuratObj.rds: full dataset
seuratObj_test.rds: dataset with reduced size (only highly variable genes and CD8 T cells and monocytes)
Files
Files
(541.2 MB)
| Name | Size | Download all |
|---|---|---|
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md5:c5f94621f4644d17ae6c5afdc0ab3bf1
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536.5 MB | Download |
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md5:152fc2b36b5bc1c78a833afbe9fa3a53
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4.7 MB | Download |
Additional details
Related works
- Is supplement to
- 10.5281/zenodo.3260758 (DOI)
References
- Medaglia et al. Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq, Science 2017