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spatial sequencing

A collection of 3 posts

Putting the Pieces Together: Spatial Transcriptomics Methods and Multi-omic Integration

AI-assisted image analysis

Putting the Pieces Together: Spatial Transcriptomics Methods and Multi-omic Integration

In this article, we'll give an overview of the different spatial sequencing methods currently available, discuss analysis approaches and challenges for spatial data, and cover methods for integrating single cell and spatial transcriptomics.

FISHing for RNA: an overview of fluorescent in situ hybridization methods for RNA detection

Biological data analysis

FISHing for RNA: an overview of fluorescent in situ hybridization methods for RNA detection

Fluorescent in situ hybridization (FISH) is the gold standard for visualizing RNA expression and localization in cell or tissue sections, and major methodological advances in ease of use, sensitivity, and reproducibility have made it easier than ever to incorporate RNA-FISH into your next paper.

Integrating scRNAseq and spatial sequencing drives new findings on leprosy

Single-cell RNA sequencing

Integrating scRNAseq and spatial sequencing drives new findings on leprosy

In a recent paper by Ma et. al. from the Modlin group at UCLA, researchers report new insights into how the immune system controls leprosy within granulomas using a powerful combination of spatial and non-spatial sequencing and dataset integration.