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 ...

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 ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche ...

This illustration summarizes how integrated spatial transcriptomics, single-cell transcriptomics, single-cell epigenomics, and spatial epigenomics enable multi-dimensional profiling of the tumor ...

The HALP score as a prognostic biomarker in non-small cell lung cancer: A comprehensive meta-analysis of over 7,000 patients. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This ...

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 ...

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The rapid development of spatial transcriptomics (ST) technologies has greatly advanced the understanding of gene expression, tissue architecture, cellular composition, and disease mechanisms within ...

A core challenge in biology is understanding how processes in the body, such as cellular development and regeneration, unfold ...

RNA sequencing (RNA-Seq): A high-throughput transcriptomics method that identifies and quantifies RNA molecules in a biological sample by converting them into sequencing libraries, or in some ...