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-biology tools are collecting more comprehensive data, and companies that want to model cells in silico are hoovering ...

Researchers develop IRISeq and EnrichSci to map cellular neighborhoods and analyze rare aging cells in the brain simultaneously.

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

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In 2021, a technology developed at University of Michigan, called Seq-Scope, revolutionized the ability to map gene activity within intact tissue at microscopic resolution, enabling researchers to ...

A new review highlights how synthetic biology, AI, and spatial omics could transform ligand-receptor discovery from one-by-one searches into network-level mapping.

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 ...