Visualization of the cellular heterogeneity and spatial architecture of the tumor
microenvironment (TME) is becoming increasingly important to understand mechanisms of …

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease with high resistance to
therapies. Inflammatory and immunomodulatory signals co-exist in the pancreatic tumour …

Abstract Characterization of somatic mutations at single-cell resolution is essential to study
cancer evolution, clonal mosaicism and cell plasticity. Here, we describe SComatic, an …

The proper functioning of diverse biological systems depends on the spatial organization of
their cells, a critical factor for biological processes like sha** intricate tissue functions and …

Clear cell renal cell carcinoma (ccRCC) is a complex disease with remarkable immune and
metabolic heterogeneity. Here we perform genomic, transcriptomic, proteomic, metabolomic …

Spatial transcriptomics technologies with high resolution often lack high sensitivity in mRNA
detection. Here we report a dendrimeric DNA coordinate barcoding design for spatial RNA …

Single-cell and spatial transcriptome sequencing, two recently optimized transcriptome
sequencing methods, are increasingly used to study cancer and related diseases. Cell …

An essential task in spatial transcriptomics is identifying spatially variable genes (SVGs).
Here, we present Celina, a statistical method for systematically detecting cell type-specific …

Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of renal cancer,
accounting for over 75% of cases. The asymptomatic nature of the disease contributes to …

Endometriosis consists of ectopic endometrial epithelial cells (EEECs) and ectopic
endometrial stromal cells (EESCs) mixed with heterogeneous stromal cells. To address how …