Cell populations in the tumor microenvironment (TME), including their abundance,
composition, and spatial location, are critical determinants of patient response to therapy …

Spatial transcriptomics technologies with high resolution often lack high sensitivity in mRNA
detection. Here we report a dendrimeric DNA coordinate barcoding design for spatial RNA …

In situ transcriptomic techniques promise a holistic view of tissue organization and cell-cell
interactions. There has been a surge of multiplexed RNA in situ mapping techniques but …

The advancement of highly multiplexed spatial technologies requires scalable methods that
can leverage spatial information. We present MISTy, a flexible, scalable, and explainable …

Spatial transcriptomics extends single-cell RNA sequencing (scRNA-seq) by providing
spatial context for cell type identification and analysis. Imaging-based spatial technologies …

To gain a better understanding of the complexity of gene expression in normal and diseased
tissues it is important to account for the spatial context and identity of cells in situ. State-of …

Genome sequencing and analysis allow researchers to decode the functional information
hidden in DNA sequences as well as to study cell to cell variation within a cell population …

The development of spatial transcriptome sequencing technology has revolutionized our
comprehension of complex tissues and propelled life and health sciences into an era of …

Spatial transcriptomics (ST) technologies allow researchers to examine transcriptional
profiles along with maintained positional information. Such spatially resolved transcriptional …

Rapid advances in spatial transcriptomics (ST) have revolutionized the interrogation of
spatial heterogeneity and increase the demand for comprehensive methods to effectively …