Spatial transcriptomics (ST) technologies generate multiple data types from biological
samples, namely gene expression, physical distance between data points, and/or tissue …

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

Quantifying RNAs in their spatial context is crucial to understanding gene expression and
regulation in complex tissues. In situ transcriptomic methods generate spatially resolved …

Single-cell RNA sequencing methods can profile the transcriptomes of single cells but
cannot preserve spatial information. Conversely, spatial transcriptomics assays can profile …

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

Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular
heterogeneity in health and disease. However, the lack of physical relationships among …

Spatial transcriptomics and proteomics provide complementary information that
independently transformed our understanding of complex biological processes. However …

Spatial positions of cells in tissues strongly influence function, yet a high-throughput,
genome-wide readout of gene expression with cellular resolution is lacking. We developed …

Single‐cell transcriptomics provides us with completely new insights into the molecular
diversity of different cell types and the different states they can adopt. The technique …

Deciphering the principles and mechanisms by which gene activity orchestrates complex
cellular arrangements in multicellular organisms has far-reaching implications for research …