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

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

In mammalian brains, millions to billions of cells form complex interaction networks to enable
a wide range of functions. The enormous diversity and intricate organization of cells have …

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 …

Spatial omics emerged as a new frontier of biological and biomedical research. Here, we
present spatial-CUT&Tag for spatially resolved genome-wide profiling of histone …

Abstract N6-methyladenosine (m6A) is the most prevalent, abundant and conserved internal
cotranscriptional modification in eukaryotic RNAs, especially within higher eukaryotic cells …

Spatially resolved transcriptomic technologies are promising tools to study complex
biological processes such as mammalian embryogenesis. However, the imbalance between …

The hypothalamus plays a key role in coordinating fundamental body functions. Despite
recent progress in single-cell technologies, a unified catalog and molecular characterization …

The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning,
coordination, cognition and autonomic regulation. However, a complete inventory of …