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 ...

Spatial transcriptomics offers a revolutionary approach to understanding the tumor microenvironment (TME) in solid tumors by preserving the spatial context of gene expression, which is crucial for ...

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.

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 ...

This Research Topic is the second volume of the “Unraveling Breast Cancer Complexity: Insights from Single-Cell Sequencing and Spatial Transcriptomics” ...

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 ...

Illumina is raising the curtain on its upcoming entry into spatial transcriptomics, with tech designed to help researchers explore cellular behavior mapped across complex tissues. The announcement ...

In this GEN Learning Lab, our expert panelists Linda Orzolek, MS, MB, Xuhuai Ji, MD, PhD, and Christina Chang, PhD, will discuss the current landscape of imaging- and next-generation sequencing-based ...

Researchers create a massive single-cell atlas of the aging mouse brain, revealing how epigenetic changes and "jumping genes" drive neurodegeneration.

Neurodegenerative diseases affect more than 57 million people globally. The incidence of these diseases, from Alzheimer's to ...

Breast cancer remains one of the most prevalent and life-threatening forms of cancer, impacting millions worldwide. This malignancy's heterogeneity and complexity have long posed significant ...