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🔥off the press! 👀 our @biorxivpreprint on human 🧠brain @LieberInstitute spatial 🌌🔬transcriptomics data 🧬using Visium @10xGenomics🎉#spatialLIBD
🔍spatial.libd.org/spatialLIBD/
👩🏾💻github.com/LieberInstitut…
📚research.libd.org/spatialLIBD/
📦github.com/LieberInstitut…
biorxiv.org/content/10.110…
🔍spatial.libd.org/spatialLIBD/
👩🏾💻github.com/LieberInstitut…
📚research.libd.org/spatialLIBD/
📦github.com/LieberInstitut…
biorxiv.org/content/10.110…
Our study shows 12 samples from 3 human brain DLPFC neuronal layers + white matter with @10xGenomics's Visium platform. Features📜:
* Largest so far
* Harder to cluster than the example mouse data
* Data is all public
* @Bioconductor #rstats📦
* #shiny web app
2/7 #spatialLIBD
* Largest so far
* Harder to cluster than the example mouse data
* Data is all public
* @Bioconductor #rstats📦
* #shiny web app
2/7 #spatialLIBD
* Assessment of known markers
* Identification of layer-specific markers
* smFISH validation✅
* spatial registration of snRNA-seq data
* Layer-enrichment of neurodevelopmental and neuropsychiatric gene sets
* Data-driven layer-enriched clustering in the DLPFC
3/7 #spatialLIBD
* Identification of layer-specific markers
* smFISH validation✅
* spatial registration of snRNA-seq data
* Layer-enrichment of neurodevelopmental and neuropsychiatric gene sets
* Data-driven layer-enriched clustering in the DLPFC
3/7 #spatialLIBD
