Spatial biology technologies reveal new dimensions for understanding cellular interactions in their native environment.

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 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 ...

Multi-omics integration enhances understanding of biological systems, revealing complex interactions through spatial ...

Called SOAR (Spatial transcriptOmics Analysis Resource), the now-live platform is a one-stop shop that helps scientists explore how genes behave differently in various parts of the body, shows them ...

Using a ChatGPT-like AI model, scientists have created a new map of the mouse brain that captures previously uncharted areas of the organ in unprecedented detail.

This article explores how to generate high-quality transcriptomics data by optimizing each step, from experimental design and RNA extraction to library preparation sequencing and data analysis, to ...