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S-Adenosylmethionine (SAM) Analysis Service | LC-MS/MS Quantification

When studying methylation or one-carbon metabolism, SAM and SAH often determine how well you can interpret pathway changes. These metabolites are low-abundance and highly labile, so unreliable measurements can obscure whether epigenetic or metabolic shifts reflect true methyl donor availability.

Creative Proteomics delivers targeted LC–MS/MS quantification of SAM, SAH, and related one-carbon metabolites using isotope-labeled internal standards and QC-anchored acquisition. The results provide pathway-level insight rather than isolated metabolite values.

  • Determine methylation potential with accurate SAM, SAH, and SAM/SAH ratio data
  • Connect SAM/SAH shifts to one-carbon metabolism, transsulfuration, and redox pathways
  • Apply LC–MS/MS targeted metabolomics built for low-abundance, labile methylation metabolites
  • Receive clean, analysis-ready reports that integrate naturally with multi-omics or mechanistic studies
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What Is S-Adenosylmethionine (SAM) and Why Analyze It?

S-Adenosylmethionine (SAM) is the universal methyl donor in cells. It donates its methyl group to DNA, RNA, proteins, phospholipids, and small-molecule metabolites through the action of diverse methyltransferases. During these reactions, SAM is converted to SAH, which can inhibit many methyltransferases if it accumulates.

Because of this central role:

  • SAM concentration reflects the capacity of the methionine cycle to generate activated methyl groups.
  • SAH concentration reflects the product load of methylation reactions and can act as a negative regulator.
  • The SAM/SAH ratio is widely used as an indicator of cellular methylation potential.

Accurate SAM analysis helps you directly evaluate:

  • Whether an intervention affects methylation capacity rather than only downstream gene expression.
  • How nutrient availability, oxidative stress, or enzyme inhibition perturbs one-carbon metabolism.
  • Whether observed epigenetic changes are supported by the underlying methyl donor pool.

What Biological Questions Can SAM Analysis Answer?

Well-designed SAM and SAH measurements can support a wide range of research questions, for example:

  • Does a methyltransferase inhibitor reduce the SAM/SAH ratio in the target tissue?
  • Do dietary interventions or nutrient formulations alter one-carbon metabolism in plasma or liver?
  • How does oxidative or ER stress reshape methylation potential in cell models?
  • Is the methionine cycle upregulated or constrained in specific disease models or genetic backgrounds?
  • Are observed changes in DNA or histone methylation consistent with shifts in SAM and SAH pools?

By integrating SAM data with other methionine cycle intermediates (e.g., methionine, homocysteine, cystathionine, glutathione), you can move from isolated metabolite readouts to a coherent pathway-level interpretation of your model.

Our SAM Analysis Service Offerings

Core Quantification Options

  • Single-analyte SAM quantification – Ideal for focused studies on SAM abundance and its role in cellular metabolism or disease progression.
  • SAM + SAH + SAM/SAH ratio – Simultaneous quantification of SAM and SAH enables accurate calculation of methylation potential, a critical parameter in epigenetic and metabolic studies.

Pathway-Oriented Metabolite Panels

  • Extended One-Carbon Metabolism Panel – Includes methionine, homocysteine, and cysteine alongside SAM/SAH, enabling a fuller view of the methionine cycle and methylation flux.
  • Full One-Carbon Metabolism Profiling – Designed for advanced studies in epigenetics, oncology, and cardiovascular research. This panel expands further to include folate derivatives, vitamin B12-related cofactors, and selected intermediates from the transmethylation and transsulfuration branches.
  • Custom methylation cofactor panels – Tailored panels that integrate SAM/SAH with methyl donors, redox metabolites, or B-vitamin–linked compounds to contextualize methylation dynamics.

Study-Specific Analytical Services

  • Comparative profiling – Detect SAM pathway changes across experimental conditions, treatment groups, or genetic backgrounds.
  • Mechanism-of-action support – Link SAM and SAH modulation to methyltransferase inhibitors, oxidative stress, or nutrient interventions.
  • Integrated targeted metabolomics – Combine SAM measurements with redox, amino acid, or nucleotide profiling for systems-level interpretation.

List of Metabolites in SAM-Related Targeted Analysis Panels

Pathway Segment Detectable Metabolites
Methyl Donors S-adenosylmethionine (SAM), Methionine, Betaine, Choline, Creatine
Methylation Products & Inhibitors S-adenosylhomocysteine (SAH), Homocysteine, Dimethylglycine (DMG), Adenosine, S-methylcysteine
Transsulfuration & Redox Cystathionine, Cysteine, Glutathione (GSH), Oxidized Glutathione (GSSG), Taurine
Folate & Vitamin Cofactors 5-Methyltetrahydrofolate (5-MTHF), 5-Formyltetrahydrofolate (Folinic acid), Methylcobalamin (Vitamin B12), Serine, Glycine

Note: Panel composition can be customized based on your pathway focus, sample matrix, and project goals. Not all metabolites are available in all matrices; please consult our technical team during project planning.

Advantages of Our SAM Analysis Service

  • Analytical precision you can rely on: LC–MS/MS with isotope-labeled internal standards achieves R² ≥ 0.995 and CV ≤ 10% across replicates.
  • Built-in protection against SAM degradation: Our method includes cold-chain processing, acidified extraction, and short hold times to preserve signal integrity.
  • Matrix-optimized quantification: Method parameters are adapted to plasma, tissue, or cell extracts to minimize matrix effects and ensure recovery.
  • Pathway-aware data for mechanistic insight: Results support interpretation in methylation, redox, and one-carbon metabolism pathways—not just raw concentrations.

Instrumentation and Analytical Parameters for SAM and SAH Quantification

Creative Proteomics quantifies SAM and SAH using a high-sensitivity LC–MS/MS platform optimized for low-abundance, labile methylation metabolites and pathway-level interpretation.

Core Instrumentation

Agilent 6495C Triple Quadrupole LC–MS/MS

High-sensitivity triple quadrupole system for targeted MRM quantification of SAM, SAH, and related one-carbon metabolites.

Agilent 1260 Infinity II HPLC

Reliable front-end HPLC providing stable, high-resolution separation of polar methylation metabolites prior to MS detection.

Ionization and acquisition mode

Positive ESI with Multiple Reaction Monitoring (MRM), using optimized transitions for SAM (m/z 399 → 250) and SAH (m/z 385 → 136) and stable isotope–labeled internal standards (e.g., ¹³C₅-SAM, ¹³C₅-SAH)

Method Performance Parameters

Metric Typical Performance
Calibration linearity R² ≥ 0.995 (6–8 calibration levels)
Limit of detection (LOD) Typically < 1 nM
Limit of quantification (LOQ) Typically 1–5 nM
Inter-batch CV (QC level) ≤10% for monitored QC samples
Retention time precision ±0.2 min across batches
Quality control Matrix-matched standards, blanks, and recovery spikes included in each run
Agilent 6495C Triple Quadrupole

Agilent 6495C Triple Quadrupole (Figure from Agilent)

Agilent 1260 Infinity II HPLC

Agilent 1260 Infinity II HPLC (Fig from Agilent)

Workflow for SAM/SAH Analysis

1

Project consultation and design

Clarify biological questions, model system, sample types, and desired readouts (e.g., SAM alone vs. full methionine cycle panel).

2

Method and panel selection

Choose between stand-alone SAM/SAH quantification or integration into a customized targeted metabolomics panel.

3

Sample preparation and shipment

Provide detailed instructions for collection, stabilization, and shipping to protect SAM integrity.

4

Laboratory analysis

Perform LC–MS/MS–based quantification with internal standard correction and QC monitoring throughout the batch.

5

Data processing and review

Process raw signals into quantitative results, review QC metrics, and prepare summary tables.

6

Reporting and follow-up discussion

Deliver structured data and, if requested, discuss interpretation in the context of your study design and other readouts.

SAM/SAH Analysis Workflow

Sample Types and Handling for Accurate SAM Analysis

Sample Type Minimum Amount Storage Requirements Preparation Guidelines
Plasma / Serum 100 µL per sample Frozen at –80°C Collect in EDTA, heparin, or citrate tubes. Avoid hemolysis.
Tissues (e.g., liver, brain, tumor) 50 mg per sample Snap-frozen immediately at –80°C Cut and freeze tissue as quickly as possible after dissection.
Cells 1 × 10⁶ to 1 × 10⁷ cells Frozen at –80°C Collect cells in culture medium and freeze immediately after collection.
Urine / CSF / Biofluids 1 mL per sample Frozen at –80°C Collect in sterile containers and freeze without delay.
Feces / Stool 1 g per sample Frozen at –80°C Freeze immediately after collection to preserve metabolites.
Saliva 1 mL per sample Frozen at –80°C Collect in a sterile container. Keep on ice and freeze immediately.
Other Matrices (e.g., hair) Contact us for specific requirements Follow specific instructions Contact Creative Proteomics for guidance on special matrices.

Additional Guidelines:

  • Sample Shipping: All samples should be shipped on dry ice to maintain stability. Include a completed sample submission form with your shipment.
  • Avoid Freeze/Thaw Cycles: To ensure accurate results, do not freeze and thaw samples repeatedly. This can degrade SAM and other metabolites.
  • Sample Quality: Ensure that samples are properly labeled with the sample ID and collection date. Poorly labeled or degraded samples may result in inaccurate or delayed results.
  • Custom Sample Requirements: For any sample types not listed above or specific requests, please contact us.

Deliverables: What You Receive from Our SAM/SAH Quantification Service

Quantitative Results: Concentrations of SAM, SAH, and SAM/SAH ratio for each sample.

Statistical Analysis: Basic group comparisons and visualizations (e.g., boxplots, PCA) if applicable.

QC Report: Calibration curves, internal standard performance, and batch quality control data.

Data Files: Raw and processed data (e.g., peak areas, normalized intensities), provided in compatible formats (Excel, CSV).

Expert Interpretation: A summary of key findings with insights into methylation potential and one-carbon metabolism, upon request.

LC–MS/MS MRM chromatogram of SAM and SAH with internal standards.

MRM chromatograms of SAM and SAH with isotope-labeled internal standards, showing clear retention times at 0.83 and 1.53 min.

Bar plot with SD and scatter points comparing SAM and SAH peak areas.

Comparison of SAM and SAH peak areas between control and treatment groups with mean, SD, and individual data points.

SAM calibration curve with regression line and analytical performance metrics.

SAM calibration curve with triplicate points, linear regression, and R², LOD, and LOQ values.

PCA plot showing group separation based on SAM and SAH data.

PCA score plot showing distinct sample group separation based on SAM and SAH profiles.

Applications of SAM Targeted Metabolomics

Epigenetic and chromatin regulation studies

Evaluate how interventions influence global or locus-specific DNA/RNA/histone methylation by monitoring changes in methylation potential (SAM/SAH ratio).

Mechanism-of-action studies for metabolic or epigenetic drugs

Assess the impact of methyltransferase inhibitors, methionine-restriction strategies, or pathway-modulating compounds on one-carbon flux.

Nutritional and metabolic research

Characterize how dietary methionine, folate, choline, or vitamin B12 availability reshapes SAM production and methyl donor supply.

Redox imbalance and stress-response models

Integrate SAM and SAH levels with glutathione or transsulfuration pathway metabolites to understand oxidative stress or sulfur-amino-acid metabolism.

Cancer metabolism and proliferative signaling

Investigate altered one-carbon metabolism and methylation dynamics in tumor models, organoids, or drug-treated systems.

Systems biology and multi-omics integration

Combine SAM quantification with transcriptomics, chromatin profiling, or targeted metabolomics to link biochemical methylation capacity with downstream phenotypes.

What does a low or high SAM/SAH ratio usually suggest in research data?

In most research settings, a lower SAM/SAH ratio suggests constrained methylation potential, often associated with product accumulation (SAH) or limited methyl donor supply, whereas a higher ratio suggests a more favorable environment for methyltransferase activity; however, interpretation is context-dependent and should be integrated with other readouts such as methionine-cycle metabolites, redox state, and the specific perturbation in your model.

Is SAM/SAH analysis considered part of targeted metabolomics or epigenetics studies?

SAM/SAH analysis sits at the intersection of targeted metabolomics and epigenetics research, because it quantifies small-molecule intermediates in the methionine cycle while at the same time providing a functional biochemical link to DNA, RNA, and protein methylation, so many projects treat it as a targeted metabolomics readout that directly supports epigenetic or chromatin-focused experiments.

What experimental factors can strongly influence SAM and SAH levels in my model?

Common drivers of SAM and SAH changes include methionine and folate availability, B-vitamin status, oxidative or ER stress, one-carbon pathway enzyme activity, and any interventions that alter methyltransferase flux or transsulfuration, so when planning a study it is helpful to document diet or media composition, stressors, and compound dosing regimens in parallel with the metabolite measurements.

How should I think about biological vs technical variation in SAM/SAH data?

Technical variation can be controlled with internal standards, matrix-matched calibration, and QC samples, so once those elements are in place, most of the remaining spread between replicates tends to reflect true biological variability, meaning that sampling strategy, group size, and model heterogeneity become key determinants of how confidently you can detect differences in SAM, SAH, or their ratio between conditions.

Can SAM/SAH analysis help refine my study design if I already have transcriptomics or proteomics data?

Yes, SAM and SAH measurements are often used as a biochemical "reality check" on omics-based hypotheses, for example by confirming whether transcriptional signatures of one-carbon metabolism, methyltransferases, or stress pathways are accompanied by corresponding shifts in methylation potential, and many teams use an initial analysis round to adjust later time points, doses, or pathway targets in follow-up experiments.

What information should I provide when requesting a quotation for SAM/SAH analysis?

To obtain a realistic quotation and a method configuration that fits your aims, it is helpful to outline your biological question, model type, number of groups, approximate sample count, matrices involved, whether you need SAM alone or an extended one-carbon panel, and what other datasets (e.g., gene expression, histone marks, redox markers) you plan to interpret alongside the SAM/SAH results.

How do I decide between measuring only SAM/SAH vs ordering a broader one-carbon metabolism panel?

If your primary question is whether an intervention broadly changes methylation potential, SAM/SAH alone can be sufficient, but if you also want to understand where in the methionine cycle the bottleneck occurs, or how methylation links to transsulfuration and redox balance, then a broader one-carbon panel that includes methionine, homocysteine, cystathionine, glutathione, and folate-related metabolites usually provides a much more informative picture.

Can SAM/SAH analysis be used across different species and model systems?

Yes, SAM and SAH are highly conserved across species, so the same analytical principles apply to cell lines, organoids, rodent models, and other preclinical systems, and panel composition plus reporting format can be adapted so that you can compare results across models or align them with pathway databases and public multi-omics resources.

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