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.

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Comprehensive, unbiased RNA content for human and mouse (coming soon)

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Explore any target and any pathway in biological regions of interest

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Compatible with RNAscope® and antibody morphology markers

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For use with next-generation sequencer (NGS) readout and compatible with DSP Data Center

Publications

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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.

The spatial landscape of lung pathology during COVID-19 progression.

Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19)1–8. However, thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking.

Temporal and spatial heterogeneity of host response to SARS-CoV-2 pulmonary infection

The relationship of SARS-CoV-2 pulmonary infection and severity of disease is not fully understood. Here we show analysis of autopsy specimens from 24 patients who succumbed to SARS-CoV-2 infection using a combination of different RNA and protein analytical platforms to characterize inter-patient and intra-patient heterogeneity of pulmonary virus infection.