From Single-cell RNA-sequencing to Spatial RNA-sequencing Since its invention, single-cell RNA-sequencing has become one of the most popular genomic tools. Despite its power in dissecting the transcriptome at individual cell resolution, single-cell RNA-sequencing stil faces several limitations. One of them is the lack of critical spatial information. Adding spatial context […]
Spatial Transcriptomics Brain Data Is In Demand The spatial gene expression contributes significantly to brain morphology, physiology, and connectivity. However, obtaining spatial transcriptomics brain data has long been a technical challenge. Recently, with continuous breakthroughs in spatial transcriptomics sequencing technique and data analysis tools, spatial human brain single cell RNA-Seq […]
Cells don’t function independently. They belong to a complex and interconnected network. This makes gene expression profiling of individual cells not enough for understanding their activities and crosstalk in the tissue context. Like a marriage between imaging and RNA sequencing, Spatial Transcriptomics is a revolutionized method to map gene activity […]
