Spatial Omics Services:
Spatial Context, Molecular Clarity
Spatial Omics Services:
Spatial Context, Molecular Clarity
What are Spatial Omics?
Spatial Omics is an advanced molecular profiling approach that combines high-resolution analysis with tissue context, enabling researchers to map genes, proteins, and metabolites directly within intact tissues. Unlike conventional bulk omics, spatial omics preserves the native tissue architecture, revealing cellular heterogeneity, microenvironment interactions, and tissue-specific molecular patterns.
By integrating technologies such as spatial transcriptomics, spatial proteomics, and spatial metabolomics, spatial omics provides a multi-layered view of biological systems, offering unprecedented insights into tissue function, developmental processes, and disease mechanisms. This approach is widely applied in biomedical research, drug discovery, and plant science, driving discoveries that are not possible with traditional omics methods.
Explore MetwareBio Spatial Omics Services
Why Choose MetwareBio for Spatial Omics Analysis
Advanced Technology Platforms
Cutting-edge MALDI-MSI, spatial transcriptomics, and spatial proteomics platforms enable sensitive, high-resolution molecular mapping across diverse tissues.
Professional Technical Expertise
Standardized experimental procedures and specialized technical capabilities support accurate sample processing, robust data acquisition, and reliable spatial omics analysis.
Extensive Project Experience
Validated across multiple plant and animal species as well as diverse tissue types, with broad experience in spatial omics project execution.
Comprehensive Data Deliverables
Project outputs include raw data, molecular identification, spatial maps, and bioinformatics interpretation, supporting efficient downstream analysis and biological insight generation.
Integrated Multi-Omics Capabilities
Coordinated analysis of spatial transcriptomics, proteomics, and metabolomics enables deeper exploration of tissue architecture, molecular heterogeneity, and biological regulation.
Spatial Omics vs. Bulk Omics: What’s the Difference?
Spatial omics reveals molecular
localization within tissues, while bulk omics provides averaged molecular profiles across the entire
sample.
Spatital Omics
- Preserves tissue architecture and spatial context.
- Reveals where genes, proteins, and metabolites are distributed.
- Captures cellular heterogeneity and microenvironment complexity.
- Reveals localized signaling and tissue-specific patterns.
Bulk Omics
- Measures the average molecular profile of homogenized tissues.
- Provides overall abundance information across the whole sample.
- Does not retain spatial localization of molecular signals.
- Best suited for global profiling and group-level comparison.
Why Spatial Omics Matters in Modern Research
In modern research, understanding biology requires more than measuring molecular abundance alone—it also requires knowing where molecules are distributed within tissues. Spatial omics preserves tissue context while revealing cellular heterogeneity, microenvironment interactions, and localized molecular patterns that are often obscured by bulk analysis. This added dimension makes spatial omics a powerful approach for advancing discoveries in cancer biology, neuroscience, plant science, and translational research.
FAQs About Spatial Omics Services
1. What spatial metabolomics services does MetwareBio offer?
MetwareBio offers four spatial metabolomics solutions: untargeted spatial metabolomics, untargeted spatial lipidomics, phytohormone spatial profiling, and neurotransmitter spatial metabolomics. These services support spatial mapping of diverse molecular classes directly in tissue sections, enabling in situ analysis of tissue-specific metabolism and molecular distribution.
2. What platforms are available for spatial metabolomics analysis?
Spatial metabolomics analysis is supported on two complementary platforms: MALDI-MSI and AFADESI-MSI. This dual-platform capability provides flexible options for different sample types, molecular targets, and research goals, supporting broader application in both discovery-driven and focused spatial metabolomics studies.
3. What spatial resolutions are available for spatial metabolomics?
For MALDI-MSI, available spatial resolutions include 5, 10, 20, 50, and 100 µm. For AFADESI-MSI, available options include 50 and 100 µm. Resolution selection depends on tissue structure, target distribution, and project objectives, balancing spatial detail with analytical coverage.
4. How do I choose between MALDI-MSI and AFADESI-MSI?
MALDI-MSI is suitable for high-spatial-resolution imaging and supports resolution down to 5 µm, making it ideal for fine tissue structures and localized molecular patterns. AFADESI-MSI provides broader coverage for selected applications and is available at 50 and 100 µm resolution. Platform selection depends on the sample type, analyte class, and study objective.
5. What platform is used for spatial transcriptomics?
MetwareBio’s spatial transcriptomics service is based on the 10x Genomics capture chip combined with Illumina PE150 sequencing. This workflow enables high-quality spatial gene expression profiling while preserving tissue architecture for downstream spatial analysis.
6. How does spatial transcriptomics work?
Spatial transcriptomics based on the 10x Genomics platform uses capture probes immobilized on a spatially barcoded chip. After tissue section placement and permeabilization, released mRNA molecules hybridize to the probes and are labeled with positional barcodes. This enables transcriptomic sequencing data to be mapped back to their original spatial locations within the tissue.
7. What is the principle of spatial proteomics?
MetwareBio’s spatial proteomics workflow is based on single-cell-level laser microdissection combined with ultra-micro proteomics analysis. This approach enables precise isolation of selected microscopic tissue regions followed by sensitive protein profiling, supporting spatially resolved proteomic analysis in complex tissues.
8. How should samples be prepared for integrated spatial multi-omics analysis?
For integrated spatial multi-omics projects, fresh-frozen tissue blocks are recommended. Samples should be embedded using blue FSC22 embedding medium, and adjacent serial sections can then be used for different spatial omics analyses. This strategy helps maintain tissue consistency across spatial transcriptomics, spatial proteomics, and spatial metabolomics workflows.
Applications of Spatial Omics Services
Disease Research
Disease Mechanisms, Tumor Microenvironment (TME), Biomarker Development, Metabolism Reprogramming
Animal Research
Reproductive Development, Disease Mechanisms, Nutrient Metabolism, Animal Toxicology
Plant Research
Reproductive Development, Active Compound Distribution, Abiotic Stress Response, Crop Improvement
Pharmacology
Spatial DMPK, Drug Tissue Distribution, Toxicity & Safety Assessment, Target Identification & Engagement.
Applications of Metabolomics Services
Next-Generation Omics Solutions:
Proteomics & Metabolomics
Have a project in mind? Tell us about your research, and our team will design a customized proteomics or metabolomics plan to support your goals.
Ready to get started? Submit your inquiry or contact us at support-global@metwarebio.com.
Ready to get started? Submit your inquiry or contact us at support-global@metwarebio.com.
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