Spatial transcriptomics technologies ... Their microscope was under near-constant use. But lingering in their minds was the possibility that they could infer the location of each bead with sequencing ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

The field of spatial transcriptomics ... “The sequencing-based methods analyze all genes and serve well to provide an unbiased view of tissue ecosystem,” Lundeberg explained. “The hybridization-based ...

Spatial transcriptomics ... and researchers sequence the captured RNA to create a gene expression map. Previously, Chen’s lab performed the imaging step themselves—often using their ...

scRNA-Seq reveals the heterogeneity and dynamics of gene expression within cell populations. It is particularly useful for studying rare cell types, developmental processes, and complex tissues.

Single cell RNA sequencing (scRNA-seq) provides the resolution and scale to unravel the complexity of cancer biology and reveal insights to advance human health. Join Dr. Allison Stewart and Dr. Carl ...