Unlock Gene Expression Insights with Spatially
Resolved Transcriptomics
Reveal Spatial Gene Expression with Precision—Integrate Tissue Morphology and Transcriptomic Insights.
Uncover Molecular Landscapes with Spatial Transcriptomics
Spatial Transcriptomics Platforms enable the precise mapping of gene expression across tissue sections, preserving spatial context while capturing transcriptomic data. These technologies revolutionize how researchers understand tissue heterogeneity, cellular interactions, and disease microenvironments.
At Cellular Tissue Analysis, based in Indianapolis, IN, our platforms combine high-throughput sequencing, imaging, and advanced informatics—delivering an integrated workflow for spatially resolved transcriptomic profiling in both research and clinical labs.
Core Components of
Spatial Transcriptomics Systems
Hardware
a. Spatially barcoded glass slides or arrays:
Optical & Surface Sensors
Detect spatial positions and barcodes on the array to preserve tissue context during imaging and sequencing.
b. Capture spots with oligo-dT or targeted probes:
Hybridization Detection Sensors
Confirm probe-target binding through fluorescence or chemiluminescence-based detection modules.
c. Compatibility with FFPE and fresh frozen samples:
Temperature & Humidity Sensors
Ensure preservation conditions for sample integrity across processing types.
d. Brightfield and fluorescence microscopy integration:
Imaging Sensors (CCD/sCMOS)
Support multi-modal data capture for morphology and molecular signal overlay.
e. Hematoxylin & Eosin (H&E) or IHC co-staining capability:
Spectral Discrimination Sensors
Distinguish staining components via multispectral or colorimetric detection.
Spatial Informatics Software
- Gene expression heatmap visualization
- Tissue segmentation and cell-type annotation tools
- Multi-omic overlay (e.g., transcriptomics + proteomics)
Molecular Processing & Sequencing Prep
- On-slide reverse transcription and cDNA generation
- Indexed library preparation workflows
- Compatibility with NGS platforms (e.g., Illumina, Oxford Nanopore)
Key Features
Subcellular to multi-cell resolution options
High transcript capture sensitivity
Full-tissue section coverage or ROI-based mapping
Compatibility with clinical pathology workflows
Open-source and proprietary software options for analysis
Application Areas
Oncology: Tumor microenvironment and immune cell profiling
Neuroscience: Spatial mapping of brain region transcriptomes
Developmental Biology: Gene expression in embryonic tissues
Infectious Disease: Pathogen–host interaction zones
Regenerative Medicine: Tissue remodeling and cell fate mapping
Benefits of Our Spatial Transcriptomics Platforms
- Reveal tissue architecture alongside gene activity
- Identify spatial biomarkers and disease niches
- Support spatially targeted drug discovery
- Improve understanding of tumor heterogeneity
- Enable multi-modal tissue analysis with histology alignment
Integration Capabilities
- Seamless data transfer to NGS pipelines
- Image overlay tools with digital pathology viewers
- API support for bioinformatics platforms (R, Python, Seurat, etc.)
- Integration with spatial proteomics and single-cell datasets
Industries & End Users
- Cancer Research and Precision Oncology Labs
- Academic Genomics and Neuroscience Institutes
- Pharma R&D for Biomarker and Drug Target Discovery
- Pathology Departments Exploring Molecular Diagnostics
- Multi-Omics Core Facilities
Standards & Regulatory Considerations
- Compatible with CLIA/CAP-accredited sample workflows
- Validated protocols for FFPE and fresh-frozen tissues
- Data traceability for 21 CFR Part 11 compliance
- Alignment with MIAME and spatial transcriptomics reporting standards
- Data export options for repositories (e.g., GEO, ArrayExpress)
North American Case Studies
U.S – Cancer Institute, Boston, MA
Spatial transcriptomics enabled mapping of immune cell niches in triple-negative breast cancer, leading to novel biomarker identification for immunotherapy trials.
Canada – Brain Research Center, Montreal, QC
Used high-resolution spatial transcriptomics to study gene regulation in Alzheimer’s-affected brain tissues, uncovering cell-state-specific expression gradients.
U.S – Biotech Firm, San Diego, CA
Integrated platform with NGS and digital pathology systems to drive spatially informed target discovery, accelerating preclinical oncology programs.
Want to harness the power of location-specific gene expression?
Connect with Cellular Tissue Analysis for customized platform demonstrations, pricing, and implementation support.