Disease vs Normal Comparative Spatial Metabolomics Service

Revealing Spatially Localized Metabolic Alterations in Disease

Disease-associated metabolic alterations are often highly localized within tissues and cannot be fully captured by bulk metabolomics.

Our Disease vs Normal Comparative Spatial Metabolomics service leverages mass spectrometry imaging (MSI) to enable direct, spatially resolved comparison of metabolite distributions between diseased and matched normal tissues. This MSI-based approach preserves native tissue morphology while precisely mapping region-specific metabolic dysregulation associated with disease pathology.

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Metabolic differences between normal and diseased tissues

What is
Workflow
Deliverables
Applications
Why choose
FAQs
Sample preparation

What Is Disease vs Normal Comparative Spatial Metabolomics?

This service integrates mass spectrometry imaging (MSI) with comparative statistical analysis to visualize and quantify metabolic differences between disease and control tissues within intact tissue sections.

By retaining spatial information, this approach allows:

Region-of-interest (ROI)–based metabolic comparisons
Identification of disease-specific metabolic hotspots
Correlation of metabolic alterations with histopathology

Both untargeted discovery and targeted metabolite panels can be applied depending on study goals.

Workflow

disease vs normal comparative spatial metabolomics workflow

Deliverables

Upon completion of your comparative spatial metabolomics project, you will receive a comprehensive data package and detailed reporting. Our standard deliverables include:

Project Report: Full documentation of experimental design, methodology, and a summary of key comparative findings between disease and normal states.
High-Resolution Spatial Maps: Publication-ready ion heatmaps overlaid on tissue histology to visualize biomarker distribution.
Comparative Statistical Analysis: Data highlighting significant metabolic differences, including PCA, PLS-DA, spatial segmentation, and volcano plots.
Metabolite Identification: A curated list of differentially expressed metabolites annotated using standard databases.
Raw & Processed Data: Secure transfer of all raw mass spectrometry imaging files and processed data matrices for your archives.
Expert Consultation: A one-on-one review session with our team to interpret your results and discuss potential next steps.

Applications

Tumor vs adjacent normal tissue comparison
Neurodegenerative and neurological disease studies
Inflammatory and autoimmune disease research
Metabolic biomarker discovery
Drug response and resistance assessment
Preclinical disease model validation

Why Choose Us?

Rigorous Statistical Validation We apply advanced comparative statistical analysis (e.g., Volcano Plots, PCA) to identify and quantify metabolic differences that are statistically significant between disease and control groups.
Preserved Tissue Architecture Our approach enables the correlation of metabolic alterations directly with histopathology, allowing you to see exactly where dysregulation occurs within the tissue architecture.
Flexible Discovery Options Whether you need hypothesis-free exploration to find novel biomarkers or focused analysis on specific pathways, we offer both untargeted discovery and targeted metabolite panels tailored to your specific study goals.
Comprehensive Lab Reports: Receive detailed, publication-ready documentation that translates complex spatial data into clear, actionable biological insights.
3–4 Week Turnaround Time: Keep your research on schedule with our reliable and predictable turnaround time, from sample receipt to final data delivery.

FAQs

What spatial scale does this service cover?

This service primarily operates at the tissue and sub-tissue (regional) level. Depending on instrument settings, metabolite distributions can be resolved down to cellular or near-cellular resolution, but interpretation is typically ROI-based rather than single-cell quantitative.

Can disease and normal samples be analyzed on different slides?

Yes, but matched processing and acquisition conditions are strongly recommended to minimize batch effects. Ideally, disease and normal tissues should be processed in parallel.

Is this an absolute quantification service?

By default, this service provides relative or semi-quantitative comparisons between disease and normal tissues.

Absolute quantification may be possible for selected metabolites using internal standards, but it requires additional experimental design and validation.

Learn about other Q&A.

Sample Submission Notes

Sample Type

Fresh frozen tissue sections (preferred)
Animal or human-derived tissues
Solid organs and tumor tissues

Tissue Preparation

Snap-frozen immediately after collection
Avoid formalin fixation or paraffin embedding
Embed in CMC or Gelatin. Avoid OCT whenever possible, as PEG polymers cause severe ion suppression and spectral interference.

Sectioning Requirements

Recommended thickness: 8–12 μm
Mounted on ITO-coated or conductive slides
Consecutive sections are recommended for histology

Storage & Shipping

Store sections at –80 °C
Ship on dry ice
Minimize freeze–thaw cycles

* 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.

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