Single-cell RNA sequencing (scRNA-seq) has greatly advanced our understanding of
cellular heterogeneity by profiling individual cell transcriptomes. However, cell dissociation …

Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

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

Spatially resolved transcriptomics has been dramatically transforming biological and
medical research in various fields. It enables transcriptome profiling at single‐cell, multi …

Spatial transcriptomics (ST) technologies are rapidly becoming the extension of single-cell
RNA sequencing (scRNAseq), holding the potential of profiling gene expression at a single …

Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

Spatial transcriptomics (ST) technologies are rapidly becoming the extension of single-cell
RNA sequencing (scRNAseq), holding the potential of profiling gene expression at a single …

The main function and biological processes of tissues are determined by the combination of
gene expression and spatial organization of their cells. RNA sequencing technologies have …

Recent advances in spatially resolved transcriptomics have greatly expanded the
knowledge of complex multicellular biological systems. The field has quickly expanded in …

In this Perspective, we discuss the current status and advances in spatial transcriptomics
technologies, which allow high-resolution mapping of gene expression in intact cell and …