Integrated Spatial Multi-omics Profiling Service

The Future of Spatial Biology is Multidimensional

Biological systems don't operate in silos—neither should your research. While individual omics provide a snapshot, Integrated Spatial Multi-omics Profiling provides the full story. By correlating the genome, transcriptome, proteome, and metabolome within their native tissue architecture, we empower researchers to uncover the complex regulatory networks driving health and disease.

At Creative Proteomics, we provide the industry's most comprehensive suite of integrated spatial workflows, bridging the gap between molecular discovery and functional validation. Whether you are investigating the tumor microenvironment or charting cellular ontogeny, our end-to-end spatial biology solutions transform raw biological samples into actionable, high-dimensional data.

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overview of Digital & Molecular Pathology Service
  • Our services
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Our Integrated Service Modalities

We offer a robust portfolio of tailored spatial omics and integration services designed to meet the rigorous demands of modern biological and pre-clinical research.

Multi-Omics Spatial Profiling

  • Spatial Proteomics + Transcriptomics Profiling: Co-map protein expression and gene activity within the same tissue section to understand post-transcriptional regulation in its native context.
  • Spatial Metabolomics + Proteomics Profiling: Link cellular metabolism to protein expression networks to identify metabolic reprogramming in diseased tissues.
  • Spatial Lipidomics + Transcriptomics Profiling: Correlate lipid distribution with gene expression to study lipid-driven signaling and cellular membrane dynamics.
  • Spatial Lipidomics + Proteomics Profiling: Investigate the intricate interplay between lipid mediators and protein targets at the single-cell or regional level.

Multi-Modal Integration & Mapping

  • Spatial Proteomics + mIHC Integration: Combine high-plex spatial proteomics with multiplex immunohistochemistry (mIHC) for deep phenotyping of specific cellular subsets.
  • Spatial Metabolomics + mIHC Integration: Map metabolic states onto morphologically distinct cell populations identified via targeted mIHC.
  • Spatial Transcriptomics + scRNA-seq Integration: Deconvolve spatial transcriptomics data using your single-cell RNA-seq datasets to achieve true single-cell resolution mapping across whole tissues.
  • Spatial Cell Type Mapping Service: Precisely locate and quantify diverse cell types and states across complex tissue architectures.

Advanced Analytical & Targeted Services

  • Tumor-Immune Spatial Interaction Analysis Service: Quantify cell-to-cell proximities and communication networks between malignant cells and immune infiltrates.
  • Spatial Biomarker Discovery & Validation Analysis Service: Identify and spatially validate novel multi-omic signatures for diagnostic, prognostic, or therapeutic applications.
  • Tumor Microenvironment (TME) Profiling Service: Comprehensively characterize the TME, including stromal components, immune contexture, and metabolic gradients, to inform oncology research.

The Multi-Omics Journey: From Tissue to Insight

multiomics profiling workflow

Platform

  • Pathology Analysis Platform: Delivers high-resolution whole-slide imaging for H&E, IHC, multiplex IHC (mIHC), and immunofluorescence. This establishes the critical morphological foundation and cellular phenotyping required for deep spatial context.

Pathology Analysis Platform

  • Mass Spectrometry Imaging Platform: Utilizes advanced, label-free mass spectrometry to generate highly sensitive, spatially resolved maps of metabolites, lipids, and proteins directly from intact tissue sections.

Mass Spectrometry Imaging Platform

  • Bioinformatics Analysis Platform: Our robust computational infrastructure processes and visualizes massive multi-omic datasets. A central feature is our advanced spatial co-registration pipeline, which precisely aligns pathology staining results directly with complex omics data layers, ensuring seamless, pixel-to-pixel integration of tissue morphology with molecular signatures.

Bioinformatics Analysis Platform

Applications

Rather than simply classifying tissues, our integrated spatial profiling empowers researchers to tackle complex, dynamic biological mechanisms within their native architecture:

  • Mapping Localized Metabolic Reprogramming: Correlate metabolomics and lipidomics with gene or protein expression to visualize metabolic shifts within specific tissue niches.
  • Uncovering Spatially Restricted Communication Networks: Map precise cell-to-cell signaling and ligand-receptor interactions driving disease progression and immune evasion.
  • High-Resolution Spatial Pharmacodynamics: Track exactly where a therapeutic localizes while simultaneously measuring its multi-omic effects in that exact micro-region.
  • Tracking Cellular Plasticity and State Transitions: Observe how local microenvironments force cells to shift functional states across the tissue architecture.

Why Partner with Creative Proteomics for Multi-Omics?

  • Multi-Disciplinary Expertise: A dedicated team of molecular biologists, mass spectrometrists, and computational biologists.
  • Seamless Co-registration: Our proprietary alignment algorithms ensure that data from different omics layers are precisely overlaid at the micron level.
  • Advanced Bioinformatics: We don't just deliver raw data. Our integrated reports include cross-modal correlation analysis, pathway enrichment, and spatial niche identification.
  • Optimized Sample Handling: We maximize the data extracted from every precious sample, utilizing specialized protocols for dual-extraction or serial sectioning.
  • Flexibility & Customization: Protocols optimized for your specific tissue types, species, and biological questions.

FAQs

What types of biological samples do you accept?

We routinely process Formalin-Fixed Paraffin-Embedded (FFPE), Fresh Frozen, and Tissue Microarrays (TMAs). Specific sample requirements may vary depending on the chosen omics modality.

Can you integrate spatial data with my existing single-cell datasets?

Yes. Our Spatial Transcriptomics + scRNA-seq Integration service is specifically designed to leverage your existing scRNA-seq data to enhance the resolution and depth of spatial cell type mapping.

How is the integrated data delivered?

You will receive raw data files, processed matrices, high-resolution spatial maps, and a comprehensive analytical report.

Learn about other Q&A.

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