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 …

Advances in quantitative biomarker development have accelerated new forms of data-driven
insights for patients with cancer. However, most approaches are limited to a single mode of …

Microglia are the resident macrophages of the central nervous system (CNS) acting as the
first line of defense in the brain by phagocytosing harmful pathogens and cellular debris …

Recent advances in sequencing technologies and collaborative efforts have led to
substantial progress in identifying the genetic causes of amyotrophic lateral sclerosis (ALS) …

In the past decade, single-cell technologies have proliferated and improved from their
technically challenging beginnings to become common laboratory methods capable of …

Although complex inflammatory-like alterations are observed around the amyloid plaques of
Alzheimer's disease (AD), little is known about the molecular changes and cellular …

Spatial omics technologies generate wealthy but highly complex datasets. Here we present
Spatial Omics DataBase (SODB), a web-based platform providing both rich data resources …

There is increasing appreciation that non-neuronal cells contribute to the initiation,
progression and pathology of diverse neurodegenerative disorders. This Review focuses on …

Single-cell RNA sequencing (scRNA-seq) enables the systematic identification of cell
populations in a tissue, but characterizing their spatial organization remains challenging. We …