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

Advances in single-cell RNA sequencing (scRNA-seq) technologies in the past 10 years
have had a transformative effect on biomedical research, enabling the profiling and analysis …

Defining the transition from benign to malignant tissue is fundamental to improving early
diagnosis of cancer. Here we use a systematic approach to study spatial genome integrity in …

In the past decades, transcriptomic studies have revolutionized cancer treatment and
diagnosis. However, tumor sequencing strategies typically result in loss of spatial …

To define the cellular composition and architecture of cutaneous squamous cell carcinoma
(cSCC), we combined single-cell RNA sequencing with spatial transcriptomics and …

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

Progressive multiple sclerosis (MS) is characterized by unrelenting neurodegeneration,
which causes cumulative disability and is refractory to current treatments. Drug development …

The process of cardiac morphogenesis in humans is incompletely understood. Its full
characterization requires a deep exploration of the organ-wide orchestration of gene …

Brain maps are essential for integrating information and interpreting the structure-function
relationship of circuits and behavior. We aimed to generate a systematic classification of the …

Reconstruction of heterogeneity through single cell transcriptional profiling has greatly
advanced our understanding of the spatial liver transcriptome in recent years. However …