Immune low-response states significantly impact the effectiveness of immunotherapy in cancer treatment. These states ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

Researchers in Nikolaus Rajewsky’s lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor’s cellular neighborhoods in 3D and identify potential targets ...

Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Researchers have created a highly detailed spatial multiomic atlas to date of glioma tumour microenvironments.

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

The three-dimensional analysis of cell types and their locations by spatial transcriptomics provides key information of their interactions within tissues or organs. Based on this technology, ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...