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

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

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 ...

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...

The human brain is a fascinating and complex organ that supports numerous sophisticated behaviors and abilities that are ...

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.

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

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 ...

Dr. Xuyu Qian in his current laboratory, standing beside a collection of external hard drives containing raw spatial transcriptomics data from his groundbreaking human brain development research. The ...

Researchers developed a microfluidic method to isolate glioblastoma-derived extracellular vesicles from blood. By leveraging ...