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 ...

Spatial transcriptomics, however, measures RNA expression in space, within a given tissue sample. Open-ST offers a cost-effective, high-resolution, easy-to-use method that captures both tissue ...

Complete Genomics will share details of various multi-omics and spatial transcriptomics applications based on its sequencing technology at the 2024 American Society of Human Genetics (ASHG) Meeting.

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

An open-source platform developed by researchers in Nikolaus Rajewsky’s lab at the Max Delbrück Center creates molecular maps from patient tissue samples with subcellular precision, enabling detailed ...

Conventional transcriptomic techniques have revealed much about gene expression at the population and single-cell level—but they overlook one crucial factor: spatial context. In musculoskeletal ...

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 ...