Spatial Biology and Gene Expression

Learn about the latest research in spatial biology and its applications. From understanding the mechanisms of infectious disease to early diagnostics and therapeutics, hear the outstanding advancements in the field.

This app note highlights a multiplex immunofluorescence imaging solution for targeted spatial proteomics that provides several advantages over other spatial proteomic and transcriptomic technologies for biomarker studies.

Join this webinar to learn the fundamentals of spatial multiplexing for single-cell proteomics and hear how it enables the in-depth exploration of complex tissue microenvironments through the detection and quantification of a virtually unlimited number of protein target analytes.

This webinar highlights a platform that can identify biomarkers with clinical benefit in non-small cell lung cancer and analyze the immune microenvironment in bone marrow trephine samples.

This episode provides an overview of spatial biology and what applications scientists can pursue by exploring this area.

Download this listicle to discover recent examples of how single-cell analysis methods are driving forward research into cancer, aging, and drug discovery and development.

Researchers require spatial information and high-plex gene expression data to understand how cells interact with tumors. However, molecular subtyping within a tumor type requires additional stratification at the tissue level to facilitate meaningful subsequent gene expression analysis.

Highly multiplexed spatial biomarker analysis has demonstrated the potential to advance our current understanding of the immune system and its role in cancer.

Rare cells play pivotal roles in disease initiation, maintenance and progression. Yet, identifying these cells remains a difficult task for low-plex technologies, as it is not always clear a priori which biomarkers distinguish rare phenotypes from the remaining population.

The nCounter® Pro Analysis System delivers highly reproducible expression data on 800+ targets with zero enzymatic steps using a simple automated workflow that requires only 15 minutes of hands-on time.