GeoMx DSP: Your Guide to Spatial Biology
The GeoMx Digital Spatial Profiler (DSP) provides morphological context in spatial transcriptomics and spatial proteomics experiments from just one slide.
From discovery to translational research, the GeoMx DSP is the most flexible and robust spatial biology solution designed to conform to your ever-changing research needs.
Imagine the Possibilities with GeoMx DSP
Heterogeneity. Resolved.
Spatially resolve tissues and cell populations with functional segmentation.
Detect more.
Without compromise.
Detect more of the transcriptome and proteome with the highest plex and highest sensitivity.
Consistent results. Reliable answers.
Multi-sample analysis and cohort studies made easy with unmatched reproducibility and scalability.
Unlock your samples. With confidence.
Get proven, robust results from FFPE, FF tissues and TMAs using standard histology workflows.
Structure dictates function. Think outside the box.
Profile functionally distinct cells and structures to get a complete picture of the biology that matters.
Analyze today.
Publish faster.
Don’t wait. Get publication-ready results faster with higher throughput and an integrated data analysis software.
How it Works
The GeoMx DSP workflow seamlessly integrates with current histology or genomics workflows to help researchers obtain robust and reproducible spatial multiomics data quickly.
Whole tissue sections, FFPE or fresh frozen, can be imaged and stained for RNA or protein. Researchers can then precisely select which tissue compartments or cell types to profile based on the biology, and subsequently count expression levels using either the nCounter Analysis System or an Illumina Sequencer.
Biology-driven Profiling – Spatial Genomics
Capture tissue heterogeneity through flexible profiling
Geometric Profiling
Segmentation
Cell Type Specific
Contour
Gridded
What is the heterogeneity of expression in different regions of my tissue?
What is the expression profile of distinct biological compartments (e.g., Tumor-TME)?
What is the expression profile of a specific cell population in my tissue?
How does the immune environment change on either side of an infiltrate boundary?
What novel targets are uncovered with deep mapping of a specific tissue region?
GeoMx Publications
Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury.
Severe lung damage resulting from COVID-19 involves complex interactions between diverse populations of immune and stromal cells. In this study, we used a spatial transcriptomics approach to delineate the cells, pathways, and genes present across the spectrum of histopathological damage in COVID-19-affected lung tissue.
Highly Multiplexed Spatially Resolved Proteomic and Transcriptional Profiling of the Glioblastoma Microenvironment Using Archived Formalin-Fixed Paraffin-Embedded Specimens.
Glioblastoma is a heterogeneous tumor for which effective treatment options are limited and often insufficient. Few studies have examined the intratumoral transcriptional and proteomic heterogeneity of the glioblastoma microenvironment to characterize the spatial distribution of potential molecular and cellular therapeutic immunooncology targets.
PFKFB3 overexpression in monocytes of patients with colon but not rectal cancer programs pro-tumor macrophages and is indicative for higher risk of tumor relapse.
Introduction: Circulating monocytes are main source for tumor-associated macrophages (TAMs) that control tumor growth, angiogenesis, metastasis and therapy resistance. We raised the questions how monocyte programming is affected by growing tumors localized in colon and rectal sections, and how treatment onsets affect monocyte programming in the circulation.
Related Resources
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