
Unmatched biomarker discovery with 1200+ spatially resolved proteins and single-cell resolution
The GeoMx Discovery Proteome Atlas (DPA) is the highest-plex, commercially available antibody-based spatial proteomics assay, investigating the expression of over 1200 proteins with single-cell resolution. Designed for unprecedented translational discovery with the GeoMx Digital Spatial Profiler (DSP), this curated selection of 1200+ pre-validated human targets spans key cell signaling and disease pathways. Identify new biomarker and drug target candidates by quantifying more proteins than ever before—within your existing GeoMx workflow.
Each antibody clone is sourced from Abcam’s IHC-validated collection and further optimized for spatial profiling, giving you a straightforward path to verify and validate biomarker candidates downstream of GeoMx DSP. Paired with high-throughput, regionally focused sequencing readout, GeoMx DPA maximizes data yield per sample, helping researchers conserve tissue while accelerating discovery.

Applications
More biology. More targets. More potential.
Built as an expansion of the GeoMx IO Proteome Atlas (IPA), GeoMx DPA now enables spatial resolution of over 1200 protein targets—including markers across 40+ tissues, 120+ disease-relevant annotations, and 130+ post-translational modifications. Dive deeper into the pathways that drive disease and uncover novel biomarker candidates for therapeutic development.
Investigate the expression of 1200+ proteins on enriched rare cells.
A, Single-cell segmentation to investigate the expression of 1200+ proteins on enriched rare AT8+ and AT8- cells. B, Proof-of-concept experiment showing a Region of Interest (ROI) drawn around a single HS578T cell enabling the detection of 412 proteins. As expected, enrichment of 10 cells within a single ROI resulted in higher target detection (650+).
Flexibly layer RNA and protein expression on either serial or same-slide sections.
Combine GeoMx DPA with the GeoMx Whole Transcriptome Atlas to generate spatial multiomic data, measuring over 18,000 transcripts and 1200+ proteins in parallel. This integrated workflow empowers you to correlate transcriptional signals with protein-level function, accelerating discovery of novel mechanisms, biomarkers, and therapeutic targets.
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