A systematic comparison of 11 sequencing-based spatial transcriptomics methods reveals molecular diffusion as a critical variable that influences the effective resolution and data interpretation ...
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 ...
FICTURE software addresses a critical challenge in spatial omics analysis: making high-resolution inference with only a few molecules per square micron. This tool fully realizes the potential of ...
A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...
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 ...
Saurabh Sinha (center) and his collaborators are advancing the field of spatial transcriptomics with development of InSTAnT. Flanking Sinha are trainees from his lab (left to right), Bhavay Aggarwal ...
Researchers reveal the intricate molecular landscape of triple-negative breast cancer (TNBC), uncovering actionable spatial archetypes and gene signatures that pave the way for personalized therapies ...
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.
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 ...
Why do so many promising drugs fail? This article explores how spatial multiomics reveals hidden cell interactions, helping ...
More Than 100 Scientific Papers Leveraged the Dante Labs Technology for Research on Transcriptomics, CRISPR Gene Editing, ...
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