GeoMx® Whole Transcriptome Atlas
Helping Your Research
Full Transcriptome Spatial RNA Analysis
The GeoMx Whole Transcriptome Atlas (WTA) is designed for comprehensive profiling of spatial biology. With full coverage of protein coding genes, WTA delivers spatial analysis of any target in any tissue in the biological regions that matter most.
How it Works
The GeoMx Whole Transcriptome Atlas (WTA) provides an unbiased view of 18,000+ protein-coding genes. The WTA unlocks new pathways to be explored by researchers and enables GeoMx RNA profiling in oncology, immunology, neuroscience, developmental biology, and other diverse fields. WTA provides robust and sensitive performance on FFPE or Fresh Frozen samples.
Comprehensive, unbiased RNA content for human and mouse (coming soon)
Explore any target and any pathway in biological regions of interest
Compatible with RNAscope® and antibody morphology markers
For use with next-generation sequencer (NGS) readout and compatible with DSP Data Center
Spatially resolved transcriptomics and its applications in cancer
Spatially resolved transcriptomics (SRT) offers the promise of understanding cells and their modes of dysfunction in the context of intact tissues. Technologies for SRT have advanced rapidly with a large number being published in recent years.
Next Generation Imaging Techniques to Define Immune Topographies in Solid Tumors
In recent years, cancer immunotherapy experienced remarkable developments and it is nowadays considered a promising therapeutic frontier against many types of cancer, especially hematological malignancies. However, in most types of solid tumors, immunotherapy efficacy is modest, partly because of the limited accessibility of lymphocytes to the tumor core.
Opposing immune and genetic mechanisms shape oncogenic programs in synovial sarcoma
Synovial sarcoma (SyS) is an aggressive neoplasm driven by the SS18-SSX fusion, and is characterized by low T cell infiltration. Here, we studied the cancer-immune interplay in SyS using an integrative approach that combines single-cell RNA sequencing (scRNA-seq), spatial profiling and genetic and pharmacological perturbations.