Title: Highly sensitive spatial transcriptomics at near-cellular resolution with Slide-seqV2
Authors: Robert R Stickels, Evan Murray, Pawan Kumar, Jilong Li, Jamie L Marshall, Daniela J Di Bella, Paola Arlotta, Evan Z Macosko, Fei Chen
Date published: 12/7/20
Date added: 5/1/22
Journal: Nature Biotechnology
DOI: 10.1038/s41587-020-0739-1
Protocol: Slide-seqV2
Data source: SCP815
Species: mouse
Number of samples: 11
Region: Whole brain, hippocampus
Figure: Highly improved mRNA detection sensitivity in Slide-seqV2.
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Note: The MAST package were used to calculate DEGs on normalized gene expression data (parameter: log2FC > 0.25, adj.p-value < 0.05).
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