Triple-negative breast cancer has long been one of the most stubborn challenges in oncology. It lacks the three molecular targets that drive most modern breast cancer therapies, responds unevenly to ...

One of the most seductive ideas in modern computational biology is that more complexity means more insight. Give a machine ...

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 ...

Explore a new class of spatial technology for use with formalin-fixed paraffin-embedded (FFPE) samples. This workflow ...

Spatial transcriptomics provides a unique perspective on the genes that cells express and where those cells are located. However, the rapid growth of the technology has come at the cost of ...

Technological development is key to improving the way hematologic cancer is diagnosed and treated. With this vision, the Josep Carreras Leukemia Research Institute is committed to the creation and ...

Tissue preparation is the step in spatial transcriptomics that can determine whether an experiment succeeds or fails before the sample ever reaches the instrument. Getting fixation, sectioning, and ...

Researchers at the Max Delbrück Center have developed an open-source spatial transcriptomics (ST) platform, called Open-ST, that creates 3D molecular maps from patient tissue samples with subcellular ...

Malva can search RNA sequences across millions of individual cells in seconds without requiring researchers to download enormous datasets or use a reference genome. The platform has indexed more than ...