Published November 7, 2019 | Version v1
Dataset Open

Dataset to demonstrate the use of NicheNet on a Seurat object

  • 1. Ghent University

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
md5:c5f94621f4644d17ae6c5afdc0ab3bf1
536.5 MB Download
md5:152fc2b36b5bc1c78a833afbe9fa3a53
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