Many biological functions and systems are influenced by how gene expression is spatially distributed, from subcellular through to tissue, organ, or at embryonic level. Our understanding of these ...

Spatial biology captures molecular complexity by preserving the physical context of cells in their native environments. From deciphering RNA dynamics within stress granules to scaling molecular ...

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.

Spatial transcriptomics (ST) emerges as a pivotal technique for cataloging gene expression across tissue sections while retaining crucial locational data. Traditional methodologies, encompassing bulk ...

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 ...

Nova-ST, a new spatial transcriptomics technique, has been introduced by researchers based at Vlaams Instituut voor Biotechnologie (VIB), Katholieke Universiteit (KU) Leuven. According to the ...

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 biology has rapidly reshaped tissue analysis, but most methods still rely on thin two-dimensional (2D) slices, giving fragmented glimpses of complex tissue structures. As spatial ...

To study biological processes, scientists often take snapshots of the molecules in cells, such as proteins and nucleotides, at specific points in time. In spatial biology, they can leverage molecular ...

Comparison of dose-dense versus standard neoadjuvant chemotherapy for HER2 negative breast cancer: Retrospective, multicenter, real-world, Japanese study (JONIE5). MRI concentric partial response ...