Biological processes are shaped by changes across multiple molecular layers, including RNA and proteins, with no single layer ...

A Nature Methods benchmark of 11 segmentation methods across 15 spatial transcriptomics datasets shows that algorithm and ...

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics are providing increasingly detailed views of complex cellular ecosystems, enabling researchers to investigate cellular heterogeneity, ...

A computational framework linked spatial gene-expression gradients to net-production direction under steady-state and ...

Chang leads assay and applications development at Takara Bio, driving the commercialization of novel spatial genomics products. She has extensive experience in single-cell multiomics technologies and ...

The model, named stFormer, uses cross-attention to incorporate spatial ligand gene signals. The researchers derived a biased cross-attention formula to unify ST platforms across resolution and gene ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

Spatial technologies preserve tissue context to guide therapeutic development and translate molecular insights into ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Spatial transcriptomics has transformed our ability to map gene expression within intact tissues, yet most existing approaches require specialized instrumentation, which limits accessibility and ...