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 …

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 …

The natural history of cancers can be understood through the lens of evolution given that the
driving forces of cancer development are mutation and selection of fitter clones. Cancer …

Tumors are not only aggregates of malignant cells but also well-organized complex
ecosystems. The immunological components within tumors, termed the tumor immune …

Neurons are frequently classified into distinct types on the basis of structural, physiological,
or genetic attributes. To better constrain the definition of neuronal cell types, we …

Spatial and molecular characteristics determine tissue function, yet high-resolution methods
to capture both concurrently are lacking. Here, we developed high-definition spatial …

Defining cell types requires integrating diverse single-cell measurements from multiple
experiments and biological contexts. To flexibly model single-cell datasets, we developed …

The immune system is critical in modulating cancer progression, but knowledge of immune
composition, phenotype, and interactions with tumor is limited. We used multiplexed ion …

Tumours comprise a heterogeneous collection of cells with distinct genetic and phenotypic
properties that can differentially promote progression, metastasis and drug resistance …

Identifying the spatial organization of tissues at cellular resolution from single-cell gene
expression profiles is essential to understanding biological systems. Using an in situ 3D …