The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

The tumor microenvironment (TME) is a complex network of cells and extracellular components. It plays a crucial role in cancer development, progression, and treatment resistance. To develop effective ...

A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between ...

This three-part webinar series brings together leading researchers to explore how spatial biology is evolving - from data ...

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

Biology and medical researchers use spatial transcriptomics (ST) technologies to detect transcription levels in cells, predict cell types and build a tissue's three-dimensional (3D) structure. However ...

Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...

Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...

A new multiplex immunofluorescence workflow using standard laboratory equipment and open-source software enables detailed spatial analysis of liver tissue, organoids and organ-on-a-chip models, ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...