Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

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

Single-cell and spatial technologies that profile gene expression across a whole tissue are
revolutionizing the resolution of molecular states in clinical samples. Current commercially …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …

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

Nociceptors are specialized sensory neurons that detect damaging or potentially damaging
stimuli and are found in the dorsal root ganglia (DRG) and trigeminal ganglia. These …

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 …

Resolving glial contributions to Alzheimer's disease (AD) is necessary because changes in
neuronal function, such as reduced synaptic density, altered electrophysiological properties …

Recent spatial gene expression technologies enable comprehensive measurement of
transcriptomic profiles while retaining spatial context. However, existing analysis methods …

Spatial transcriptomics technologies generate gene expression profiles with spatial context,
requiring spatially informed analysis tools for three key tasks, spatial clustering, multisample …