The recent advancement in spatial transcriptomics technology has enabled multiplexed
profiling of cellular transcriptomes and spatial locations. As the capacity and efficiency of the …

The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …

Breast cancers are complex cellular ecosystems where heterotypic interactions play central
roles in disease progression and response to therapy. However, our knowledge of their …

Mapping cell types across a tissue is a central concern of spatial biology, but cell type
abundance is difficult to extract from spatial gene expression data. We introduce …

Many computational methods have been developed to infer cell type proportions from bulk
transcriptomics data. However, an evaluation of the impact of data transformation, pre …

Single-molecule spatial transcriptomics protocols based on in situ sequencing or
multiplexed RNA fluorescent hybridization can reveal detailed tissue organization. However …

The field of spatial transcriptomics is rapidly expanding, and with it the repertoire of available
technologies. However, several of the transcriptome-wide spatial assays do not operate on a …

A limitation of spatial transcriptomics technologies is that individual measurements may
contain contributions from multiple cells, hindering the discovery of cell-type-specific spatial …

Recent development of spatial transcriptomic technologies has made it possible to
characterize cellular heterogeneity with spatial information. However, the technology often …

Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …