Spatial transcriptomics includes a range of technologies, from sequencing-based platforms such as Visium, Slide-seq, and HDST to imaging-based methods including MERFISH, seqFISH+, and CosMx. Each ...

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 ...

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

Applying single-cell RNA sequencing has led researchers to be able to profile the entire transcriptome of cells. However, these transcriptomes prove difficult to link back to their original location ...

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 ...

Enhancing a low-cost, minimally invasive screening test for dihydropyrimidine dehydrogenase mutations linked to 5-fluorouracil sensitivity by integrating computational mutation predictions. This is an ...

Fei Chen and Chenlei Hu at the Broad Institute of MIT and Harvard have developed a new imaging-free spatial transcriptomics technology that tracks the diffusion of DNA barcodes between beads in an ...

Spatial biology is a rapidly advancing discipline that examines biological molecules (such as DNA, RNA, and proteins) within their native locations in tissues. This approach offers critical insight ...

Large language model protein set generation for interpretable serum proteomics in localized prostate cancer. This is an ASCO Meeting Abstract from the 2026 ASCO Annual Meeting I. This abstract does ...