The joint analysis of the genome, epigenome, transcriptome, proteome and/or metabolome
from single cells is transforming our understanding of cell biology in health and disease. In …

The diverse cell types of an organ have a highly structured organization to enable their
efficient and correct function. To fully appreciate gene functions in a given cell type, one …

Currently available single-cell omics technologies capture many unique features with
different biological information content. Data integration aims to place cells, captured with …

Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

Cell–cell communications are vital for biological signalling and play important roles in
complex diseases. Recent advances in single-cell spatial transcriptomics (SCST) …

Cell populations in the tumor microenvironment (TME), including their abundance,
composition, and spatial location, are critical determinants of patient response to therapy …

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

Single-cell and single-nucleus RNA-sequencing technologies capture the expression of
plant genes at an unprecedented resolution. Therefore, these technologies are gaining …

A key challenge of analyzing data from high-resolution spatial profiling technologies is to
suitably represent the features of cellular neighborhoods or niches. Here we introduce the …

Spatial transcriptomics (ST) has demonstrated enormous potential for generating intricate
molecular maps of cells within tissues. Here we present iStar, a method based on …