Unlock deeper insights by exploring cells in their environment

The potential of spatial biology for your therapeutic development

Spatial biology encompasses a series of techniques that allow detailed analysis of cells within their spatial context. Researchers can use spatial biology to resolve tissue heterogeneity and better understand cell-cell interactions, leading to a better understanding of disease mechanisms and better performing predictive and efficacy monitoring biomarkers.

Using the right spatial biology tools, we can help you :

  • Undertake deeper tumor microenvironment analysis to better understand disease states and progression
  • Identify new drug targets
  • Unravel drug mechanisms of action
  • Investigate patient responses
  • Accelerate spatial biomarker discovery for better patient stratification

CellCarta has extensive experience in spatial biology. Armed with the right techniques and expertise, we help you fully unlock its potential for your therapy program and enhance the chance of clinical development success.

Map transcriptomes within tissue context with 10X Genomics Visium Spatial Gene Expression

The 10X Genomics Visium Spatial Gene Expression solution enables mapping of the whole transcriptome in its morphological context. At CellCarta, we use the Visium CytAssist instrument, which transfers transcriptomic probes from standard glass slides onto Visium slides, facilitating the use of archived H&E sections. The Visium system can unlock spatial transcriptomics profiling insights from a broad range of Formalin-Fixed Paraffin-Embedded (FFPE) samples.

Using our internally validated Visium workflow, we can help you unveil biological architecture in normal and diseased tissues, find novel drug targets, and discover new biomarkers to help optimize your precision therapy development.

CellCarta has deep experience using Visium Spatial Gene Expression across a range of tissue types and offers extensive data analysis capabilities:

  • Automated data processing and proprietary quality control pipelines
  • Spot clustering
  • Cell type & spot annotation
  • Gene set variation analysis
  • Pathway enrichment analysis
  • Differential gene expression analysis

Analysis can be tailored to specific projects. Get in touch with our experts to discuss your data analysis and visualization needs.

NanoString GeoMx DSP: spatial transcriptomics and proteomics with morphological context from a single slide

With the NanoString GeoMX Digital Spatial Profiler (DSP) system, we can simultaneously profile the whole transcriptome and >570 protein targets using FFPE samples.

GeoMx’s unique region of interest (ROI) selection and segmentation features empower researchers to select the most relevant tissue compartments and cell types to answer specific biological questions at high throughput.

Combining this system with our histopathology expertise, you can design the best experiment to tackle your hypothesis and swiftly obtain reproducible spatial multiomics data to:

  • Understand the roles of specific tissue compartments and cell types in healthy and diseased tissue
  • Decode disease progression mechanisms
  • Unveil drug mechanisms of action
  • Uncover new biomarkers to better predict therapy response

Choosing the right technology fitting the scientific question is key to success with spatial biology. Get in touch with our experts to choose the right approach and get the most insights from your multi-dimensional data.