Understanding intratumoral heterogeneity—the molecular variation among cells within a
tumor—promises to address outstanding questions in cancer biology and improve the …

The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

Visualization of the transcriptome in situ has proven to be a valuable tool in exploring single-
cell RNA-sequencing data, providing an additional spatial dimension to investigate …

The lung contains numerous specialized cell types with distinct roles in tissue function and
integrity. To clarify the origins and mechanisms generating cell heterogeneity, we created a …

Transcriptome level expression data connected to the spatial organization of the cells and
molecules would allow a comprehensive understanding of how gene expression is …

Recent advancements in bioanalytical techniques have led to the development of novel and
robust diagnostic approaches that hold promise for providing optimal patient treatment …

This review focuses on the human pancreatic islet—including its structure, cell composition,
development, function, and dysfunction. After providing a historical timeline of key …

Highly multiplexed spatial mapping of transcripts within tissues allows for investigation of the
transcriptomic and cellular diversity of mammalian organs previously unseen. Here we …

Technological advances enable assaying multiplexed spatially resolved RNA and protein
expression profiling of individual cells, thereby capturing molecular variations in …

Changes in cell identities and positions underlie tissue development and disease
progression. Although single-cell mRNA sequencing (scRNA-Seq) methods rapidly …