GEO DataSets

(Submitter supplied) Purpose: We present the first comprehensive map of the murine retinal complement expression at a single-cell resolution from ~92,000 retinal cells, spanning 11 cell types. Methods: Retinal mRNA profiles from 10-week-old wild-type (WT) Black 6 mouse eyes were generated by scRNA sequencing. The data was normalized using Seurat. Results: Using an optimized data analysis workflow, we found novel patterns of complement expression in the retina Conclusions: Our landmark atlas provides crucial mechanistic insights in complement immunology

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

1 Sample

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