Tumor Microenvironment (TME) Profiling Service

Our integrated Tumor Microenvironment (TME) Profiling Service delivers a holistic, spatially resolved map of the tumor ecosystem. By leveraging Spatial Transcriptomics, Multiplex Immunofluorescence, and Single-Cell RNA Sequencing alongside AI-driven bioinformatics, we reveal the complex immune landscapes and stromal interactions that drive oncology research. Designed for drug developers and basic science researchers, the purpose of this service is to transform complex multi-omics data into actionable insights that accelerate biomarker discovery, drive target validation, and optimize pre-clinical combination strategies.

Submit Your Request Now

Submit Your Request Now

What is
Workflow
Platform
Deliverables
Applications
Why choose
FAQs
Sample preparation

What is TME Profiling?

TME profiling is the systematic characterization of the non-cancerous components within a tumor. Rather than looking at a bulk tissue sample, profiling identifies the composition, functional state, and spatial organization of:

Infiltrating Immune Cells: T-cells, B-cells, TAMs, and MDSCs.
Structural Elements: Cancer-associated fibroblasts (CAFs) and extracellular matrix (ECM).
Vascularization: Angiogenic factors and endothelial integrity.
Molecular Profiles: Cytokine gradients, metabolic checkpoints, and hypoxia markers.

Workflow

TME profiling workflow

Our Technology Platforms

We utilize an industry-leading multi-omics suite to capture both the "what" and the "where" of the TME:

Spatial Transcriptomics (e.g., 10x Genomics Visium): Map gene expression directly onto tissue morphology.
Multiplex Immunofluorescence (mIF): Simultaneous detection of up to 40+ protein markers on a single slide.
Single-Cell RNA Sequencing (scRNA-seq): Unbiased discovery of rare cell populations and transitional states.
Digital Pathology & AI: Automated cell counting, neighborhood analysis, and proximity scoring.

Deliverables

Category	Specific Content	Solves For You
Raw Data & Quality Control Reports	Raw files (FASTQ/BAM/image TIFF) QC reports	Includes README detailing file formats, QC thresholds, and metadata standards to ensure full traceability and reproducibility
Standardized Analysis Datasets	Cell-level matrices Cell annotation table Spatial coordinates & region segmentation Quantified immune features	Delivered in structured, analysis-ready formats (CSV/TSV/LOOM/H5AD)
Comprehensive Interpretation Report	TME cellular composition & heterogeneity Spatial hotspots & cellular neighborhood networks Prioritized biomarker candidates (with statistical validation)	Provides mechanistic analysis and insights into potential translational value.
Visualization	High-resolution publication figures (TIFF/PDF)	High-resolution images for scientific research article publications

Key Applications

Biomarker Discovery: Identify signatures that predict response to Immunotherapy (ICIs).
Drug Mechanism of Action (MoA): Visualize how your compound alters immune infiltration.
Resistance Mapping: Uncover the stromal barriers preventing drug delivery.

Why Choose Us?

Oncology-specialized scientific team
Flexible customization for research or translational goals
Dedicated project management & rapid support

FAQs

How many markers can you analyze at once?

Depending on the platform, we can range from 6 markers (standard mIF) to whole-transcriptome spatial profiling (20,000+ genes).

What species are supported by your TME platforms?

We offer comprehensive panels for Human and Mouse models.

How do you handle "Batch Effects" in multi-center clinical trials?

Consistency is our priority. We utilize automated staining platforms and include standardized control tissue (internal and external) on every run. Our bioinformatics pipeline includes specific normalization algorithms to mitigate technical variations between different processing batches.

Can TME profiling be combined with traditional H&E staining?

Absolutely. Our workflow typically allows for "serial sectioning" or "re-staining" protocols where the exact same slide or an adjacent section is used for H&E. This allows our pathologists to correlate molecular data with classical morphological features.

Learn about other Q&A.

Sample Preparation Guidelines

To ensure the highest data quality, please adhere to the following:

FFPE Blocks/Slides: Standard 4-5μm sections; blocks preferred for longitudinal studies.
Fresh Frozen Tissue: Snap-frozen in liquid nitrogen and stored at -80°C.
Fresh Biopsies: Must be shipped in validated media (e.g., MACS Tissue Storage Solution) on cold packs for overnight delivery.
Minimum Dimensions: Ideally 5x5mm tissue area.

NOTE: Please consult with our technical team prior to sample preparation to obtain a detailed protocol.

* For Research Use Only. Not for use in diagnostic procedures.

Our customer service representatives are available 24 hours a day, 7 days a week. Inquiry

From Our Clients

"I recently used their proteomics service for a project analyzing protein interactions in yeast models. The team was very responsive and helped clarify the methodology they employed, which made me feel confident in the results. The data quality was solid, with clear identification of several key proteins involved in our study. Their thorough analysis enabled me to pinpoint specific interactions that I hadn't considered before, which significantly improved the direction of my research. I appreciate their professionalism and support throughout the process."

Sarah Thompson, University of California, Berkeley

"Our lab collaborated with them on a project studying cancer biomarkers. The proteomics analysis provided was detailed and focused, specifically highlighting the differential expression of proteins between healthy and tumor samples. Their clear explanations of the data helped my team understand the biological implications. I also appreciated their willingness to revise the reports based on our feedback, ensuring that we had everything we needed for our publication. This collaborative spirit was invaluable."

Emily Rodriguez, Stanford University

"Our lab worked with them on a project studying the effects of diet on gut microbiota using proteomics. They used a label-free quantification method to analyze proteins in fecal samples before and after dietary intervention. The results showed significant changes in protein expression linked to microbial activity. This was pivotal for our hypothesis about diet-microbiota interactions. The clarity of their data presentation made it easy for our team to integrate these findings into our ongoing research."

Dr. Lisa Wong, University of Toronto

"My experience with Creative Proteomics during the mass spectrometry analysis was excellent. We sent in human saliva and mouse brain tissue samples, which they expertly analyzed using both LC-MS and GC-MS techniques. The results were invaluable, revealing key metabolites in the saliva and identifying biomarkers linked to brain function in the brain tissue."

Dr. Emily Carter, Senior Research Scientist

"The overall service from Creative Proteomics was outstanding. They made the entire process seamless and efficient, allowing us to focus on our research. We worked with leaf and root samples from various Arabidopsis genotypes for targeted metabolomics analysis. Their thorough profiling of primary and secondary metabolites gave us important insights into how the plants respond metabolically to environmental stress."

Dr. Laura Henderson, Plant Physiologist

"We had a pleasant collaboration with Creative Proteomics on mass spectrometry analysis of lipids. They conducted a detailed analysis of lipid species, providing us with important insights into lipid metabolism and its relationship with metabolic syndrome disease states."

Dr. Sarah Mitchell, Research Scientist

Online Inquiry

Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.

Great Minds Choose Creative Proteomics