Normally, cells must be lysed for a so-called transcriptome analysis - which reveals which genes are currently being ...

Transcriptomic phenotyping offers mechanistic insight into adipocyte biology and metabolic disease. A signature of adipocyte ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows.

Knowing the location of a gene within intact tissue or a single cell allows scientists to unlock unknown cellular functions. This information is often lost in most genetic sequencing techniques, but ...

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.

Transcriptomics represents a critical discipline in cancer research, enabling comprehensive mapping of gene expression profiles and the identification of fusion genes implicated in tumor development.

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 ...