Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein
profiling methods as a major pillar for cellular atlas building of complex samples, from …

Methods for profiling RNA and protein expression in a spatially resolved manner are rapidly
evolving, making it possible to comprehensively characterize cells and tissues in health and …

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

The function of many biological systems, such as embryos, liver lobules, intestinal villi, and
tumors, depends on the spatial organization of their cells. In the past decade, high …

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 …

Computational methods that model how gene expression of a cell is influenced by
interacting cells are lacking. We present NicheNet (https://github. com/saeyslab/nichenetr), a …

Viruses are a constant threat to global health as highlighted by the current COVID-19
pandemic. Currently, lack of data underlying how the human host interacts with viruses …

Visualization of the cellular heterogeneity and spatial architecture of the tumor
microenvironment (TME) is becoming increasingly important to understand mechanisms of …

The combination of spatial transcriptomics (ST) and single cell RNA sequencing (scRNA-
seq) acts as a pivotal component to bridge the pathological phenomes of human tissues with …