The integration of single-cell and spatial transcriptomics with advanced metabolic profiling tools has revolutionized the ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research.

A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...

This illustration summarizes how integrated spatial transcriptomics, single-cell transcriptomics, single-cell epigenomics, and spatial epigenomics enable multi-dimensional profiling of the tumor ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Interpretation is the discipline through which molecular datasets reveal their significance. As the life sciences enter a new era defined by data richness and technological capacity, interpretive ...

Single-cell RNA sequencing has transformed biology by showing which genes are active in individual cells. However, this approach requires cells to be removed from their natural environment, erasing ...

T cells sit at the center of modern immunotherapy, yet many of the rules that govern their activation, differentiation, dysfunction (e.g., exhaustion), and ...

Despite progress in cancer biology, deciphering the spatial architecture of the tumor microenvironment remains a challenge. Traditional approaches lack the resolution to map cell-type-specific gene ...

Advancements in spatial proteomics enable detailed tissue mapping, linking protein localization to disease mechanisms and enhancing translational research.