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

(A) Schematic of the experimental design and analysis. Paracancerous and cancer tissues obtained from surgically resected DLBCLs were split and processed for scRNA-seq and spatial transcriptomics. (B) ...

Researchers in Nikolaus Rajewsky's lab at Max Delbrück Center combined high-resolution, single-cell spatial technologies to map a tumor's cellular neighborhoods in 3D and identify potential targets ...

The three-dimensional analysis of cell types and their locations by spatial transcriptomics provides key information of their interactions within tissues or organs. Based on this technology, ...

A panelist discusses how tumor heterogeneity (both spatial and temporal) affects molecular testing reliability in ovarian cancer, highlighting that although most biomarkers show little heterogeneity, ...

Spatial biology is reshaping how researchers study cancer by revealing the architecture and complexity of tumors in extraordinary detail. Through techniques that combine protein- and gene-level ...

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

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 ...

Q | Write a brief introduction to yourself including the lab you work in and your research background. I am Madhu Sudhana Saddala, a bioinformatics specialist at the University of California, Irvine.

Exploring biology in its native environment is perhaps the ideal scenario for generating better hypotheses about the cellular interactions that influence—and drive—healthy and diseased states, ...