The discovery of both cytotoxic T lymphocyte-associated antigen 4 (CTLA4) and
programmed cell death protein 1 (PD1) as negative regulators of antitumour immunity led to …

The emerging and powerful field of spatial pharmacology can map the spatial distribution of
drugs and their metabolites, as well as their effects on endogenous biomolecules including …

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 …

Sample multiplexing enables pooled analysis during single-cell RNA sequencing workflows,
thereby increasing throughput and reducing batch effects. A challenge for all multiplexing …

Cell-state density characterizes the distribution of cells along phenotypic landscapes and is
crucial for unraveling the mechanisms that drive diverse biological processes. Here, we …

Longitudinal analysis of intracellular contents including gene and protein expression is
crucial for deciphering the fundamentally dynamic nature of cells. This offers invaluable …

The ability to localize hundreds of macromolecules to discrete locations, structures and cell
types in a tissue is a powerful approach to understand the cellular and spatial organization …

More than ever, scientific progress in cancer research hinges on our ability to combine
datasets and extract meaningful interpretations to better understand diseases and ultimately …

Tissue imaging has become much more colourful in the past decade. Advances in both
experimental and analytical methods now make it possible to image protein markers in …

Highlights•Comprehensive TME characterization is required to understand therapy
resistance and sensitivity to current generations of therapeutics•Spatial profiling has …