Researchers at MD Anderson Cancer Center have used spatial transcriptomics to chart the internal architecture of ...

PSC-UC has distinct colonic mucosa topography but shares a common mast cell state with UC during active disease.

True three-dimensional (3D) spatial biology provides a more physiologically relevant view of tissue biology and cellular interactions than conventional single-cell or two-dimensional (2D) thin-tissue ...

Illumina has filled two key C-suite posts, naming Mike Sullivan as chief commercial officer and Julie Coletti as chief legal officer, as the DNA sequencing giant works to keep its turnaround on track ...

The presence of tertiary lymphoid structures (TLSs)—ectopic lymphoid tissues that develop within tumors—has recently emerged as a critical biomarker for predicting favorable responses to cancer ...

A new study generated one of the most comprehensive spatially resolved transcriptomic maps of cellular communication between bone and skeletal muscle ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche cellular interactions in the gastrointestinal tract that promote the ...

Spatial EcoTyper is a versatile framework for identifying spatially distinct multicellular communities, termed spatial ecotypes, from single-cell spatial transcriptomics data. In addition, it provides ...

This study addresses a critical challenge in spatial multi-omics: the effective integration of heterogeneous molecular modalities within complex tissue environments. By introducing SpaDDM, a ...

The tumor microenvironment (TME) of invasive lobular carcinoma (ILC) remains largely unexplored despite its clinical relevance and distinct biology. Using spatial transcriptomics, we reveal insights ...

Foster City, Calif. | January 27, 2026 — Signios Bio today announced the launch of a new grant program supporting innovative spatial transcriptomics research using the 10x Genomics Xenium 5K Spatial ...

Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to the training data demands of deep-learning algorithms, ...