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Carbohydrate Metabolism Analysis — Targeted LC-MS/MS Quantification of Glycolysis, TCA Cycle & Sugar Metabolism

Our targeted LC-MS/MS carbohydrate metabolism analysis service provides precise quantification of glycolysis intermediates, TCA cycle metabolites, pentose phosphate pathway compounds, and sugar metabolism products — delivering publication-ready results for energy metabolism, biomarker discovery, and flux analysis research.

Targeted LC-MS/MS panels covering 100+ carbohydrate metabolites across glycolysis, TCA cycle, PPP, and sugar pathways

Absolute quantification with isotope-labeled internal standards (R² ≥ 0.99 calibration curves)

QC-validated workflows with pooled QC samples, RSD <15%, and comprehensive batch-effect correction

Rapid turnaround: 4–6 weeks from sample receipt to complete data report

Integrated bioinformatics: pathway mapping, statistical analysis, and flux interpretation support

Carbohydrate Metabolism Analysis Service — Targeted LC-MS/MS for Glycolysis Quantification and TCA Cycle Metabolite Detection

Carbohydrate metabolism encompasses glycolysis, the TCA cycle, the pentose phosphate pathway, and specialized sugar interconversion routes — pathways whose dysregulation is central to metabolic disorders, cancer metabolism, cardiovascular disease, and diabetes. Our targeted LC-MS/MS carbohydrate metabolism analysis service provides precise quantification of 100+ metabolites across 16+ pathways using isotope-labeled internal standards and rigorous QC-validated workflows, delivering accurate, reproducible data suitable for glycolysis assay development, glucose metabolic flux analysis, carbohydrate biomarker discovery, and energy metabolism profiling. For studies requiring broader metabolite coverage, our targeted metabolomics service offers expanded panels, while our central carbon metabolism analysis integrates core energy pathway readouts in a single panel.

Our Analytical Capabilities — Targeted Glycolysis Quantification & Carbohydrate Metabolite Profiling

Targeted Quantification

Absolute quantification of glycolysis intermediates, TCA cycle metabolites, and sugar compounds using isotope-labeled internal standards (U-¹³C-glucose, ¹³C-labeled TCA intermediates) with 8-point calibration curves (R² ≥ 0.99) and batch-effect correction for cross-study comparability.

Pathway-Focused Profiling

Dedicated panels covering glycolysis/gluconeogenesis, TCA cycle, pentose phosphate pathway, monosaccharide profiling, disaccharide analysis, and specialized sugar interconversion routes — customizable to your specific research focus and sample throughput requirements.

Custom Method Development

For unique study requirements, our scientists develop and validate custom LC-MS/MS methods for novel carbohydrate analytes, unusual biological matrices, or specialized experimental designs — including stable isotope tracing support for metabolic flux analysis applications.

Multi-Sample Type Compatibility

Validated extraction and analysis protocols for plasma, serum, tissues, cells, biofluids, feces, plants, and microbial cultures — with matrix-specific optimization to ensure data quality across diverse sample types and experimental models.

Key Challenges in Carbohydrate Metabolism Quantification and How We Solve Them

  • Accurate Quantification of Labile Glycolysis and TCA Cycle Intermediates — Glycolytic and TCA cycle intermediates (ATP, acetyl-CoA, pyruvate) are chemically unstable with rapid turnover rates. Our optimized cold-quenching protocols (≤2 min from sampling to stabilization) minimize degradation, preserving true biological snapshots for reliable glycolysis assay and TCA cycle metabolomics data.
  • Isomer Resolution of Closely Related Carbohydrate Species — Glucose, fructose, galactose, and mannose are structural isomers requiring high-resolution chromatography for unambiguous quantification. Our LC-MS/MS methods with specialized HILIC columns achieve baseline separation, ensuring accurate compound-specific data for sugar metabolism profiling and monosaccharide analysis.
  • Pathway-Level Biological Interpretation, Not Just Metabolite Lists — Beyond reporting raw concentrations, we provide pathway enrichment analysis mapping to KEGG and Reactome databases, connecting metabolite changes to dysregulated pathways — helping you identify rate-limiting steps and regulatory nodes driving your phenotype. This is particularly valuable for cancer metabolism research and metabolic disease biomarker discovery.
  • Integration with Stable Isotope Tracing for Metabolic Flux Analysis — For researchers studying dynamic metabolic activity, our platform supports U-¹³C-glucose and other stable isotope tracer experiments, delivering isotopologue distributions that enable glycolytic flux estimation and TCA cycle flux analysis simultaneously — moving beyond static metabolite pools to reveal pathway activity rates.
  • Cross-Study Comparability Through Rigorous Quality Control — Pooled QC samples, isotope-labeled internal standards, and batch-effect correction ensure carbohydrate metabolomics data generated across different batches or projects can be compared directly — critical for longitudinal multi-cohort studies and clinical metabolomics applications.

Service Scope — Glycolysis, TCA Cycle, PPP & Sugar Metabolism Pathways

Our service covers the following pathways and compound categories across 16+ carbohydrate metabolism routes. Each panel integrates targeted LC-MS/MS methods optimized for the specific chemical properties of the analytes.

Pathway / Category Detectable Compounds (Representative)
Central Carbon Metabolism
Glycolysis / Gluconeogenesis Glucose, Glucose-6-phosphate, Fructose-6-phosphate, Fructose-1,6-bisphosphate, Dihydroxyacetone phosphate, Glyceraldehyde 3-phosphate, 1,3-Bisphosphoglycerate, 2-Phosphoglycerate, 3-Phosphoglycerate, Phosphoenolpyruvate, Pyruvate, Lactate
Tricarboxylic Acid (TCA) Cycle Acetyl-CoA, Citrate, Isocitrate, Alpha-ketoglutarate, Succinate, Fumarate, Malate, Oxaloacetate
Pentose Phosphate Pathway 6-Phosphogluconate, Ribulose 5-phosphate, Xylulose 5-phosphate, Ribose 5-phosphate, Sedoheptulose 7-phosphate, Erythrose 4-phosphate
Pyruvate Metabolism Pyruvate, Lactate, Acetyl-CoA, Oxaloacetate
Carbohydrate & Sugar Composition
Monosaccharides Glucose, Fructose, Galactose, Mannose, Ribose, Xylose, Arabinose, Rhamnose, Glucuronic acid, Galacturonic acid, Aminoglucose, Aminogalactose
Disaccharides Sucrose, Lactose, Maltose, Cellobiose, Fucose
Oligosaccharides Raffinose, Stachyose
Polysaccharides Starch, Glycogen, Cellulose
Carbohydrate Interconversion Pathways
Starch & Sucrose Metabolism Sucrose, Starch, UDP-glucose, ADP-glucose, related intermediates
Fructose & Mannose Metabolism Fructose, Mannose, Fructose-1-phosphate, Mannose-6-phosphate, related intermediates
Galactose Metabolism Galactose, Galactose-1-phosphate, UDP-galactose, Galactitol
Amino & Nucleotide Sugars N-Acetylglucosamine, N-Acetylgalactosamine, UDP-N-acetylglucosamine, Sialic acid
Ascorbate & Aldarate Metabolism Ascorbic acid, Dehydroascorbic acid, Gulonic acid, related metabolites
Organic Acid & Derivative Metabolism
Glyoxylate & Dicarboxylate Metabolism Glyoxylate, Glycolate, Oxalate, Tartrate, related dicarboxylates
Propanoate Metabolism Propionyl-CoA, Methylmalonyl-CoA, Succinyl-CoA, Propionate
Butanoate Metabolism Acetoacetate, Beta-hydroxybutyrate, Butyryl-CoA, Crotonyl-CoA
Inositol Phosphate Metabolism Inositol, Inositol 1-phosphate, Inositol phosphates (IP3, IP4, etc.)

Targeted Glycolysis, TCA Cycle & Energy Cofactor Quantification Panels

In addition to pathway-level service panels, we offer focused quantification panels for researchers requiring targeted metabolite group analysis:

For an expanded view of cellular energy metabolism, our central carbon metabolism analysis integrates glycolysis, TCA cycle, and PPP readouts in a single comprehensive panel. If your study requires detection of branched-chain energy metabolites or metabolic intermediates beyond the carbohydrate core, our polar metabolites analysis service covers a broader spectrum of charged metabolites including amino acids, organic acids, and phosphorylated intermediates.

LC-MS/MS Platform for Glycolysis, TCA Cycle & Carbohydrate Quantification

Parameter Specification
LC-MS/MS System SCIEX QTRAP 6500+ series triple quadrupole MS coupled with Waters Acquity UPLC / Shimadzu Nexera LC systems
Ionization Electrospray ionization (ESI) in positive and negative ion modes with polarity switching for simultaneous detection of phosphorylated and non-phosphorylated metabolites
Separation Columns HILIC (amide/zic-HILIC) for polar carbohydrates; C18 reversed-phase for organic acids and nucleotide sugars; specialized chiral columns for enantiomer resolution where required
Detection Mode Multiple reaction monitoring (MRM) with scheduled acquisition for maximum sensitivity and specificity across 100+ analytes in a single 20-minute run
Calibration 8-point standard curve with isotope-labeled internal standards (R² ≥ 0.99) spanning 4 orders of dynamic range
Sensitivity Lower limit of quantification (LLOQ) down to 0.1–10 ng/mL depending on analyte
Accuracy Spike recovery 85–115% across biological matrices; absolute concentrations reported in ng/mL, µM, or ng/mg tissue
Precision Intra-batch RSD ≤10%, inter-batch RSD ≤15% for majority of analytes
Quality Control Pooled QC samples at every 10-sample interval; blank samples and system suitability checks; batch-effect correction using QC-based normalization
Throughput Batch size up to 96 samples with comprehensive QC metrics reported for every project

Carbohydrate Metabolism Analysis Workflow — From Sample to Quantification Report

1

Project Consultation & Study Design

Our scientists discuss your research objectives, target pathways, sample types, and analytical requirements. We recommend the optimal panel configuration (glycolysis, TCA cycle, PPP, sugar profiling, or combined) and define the experimental design including sample size, controls, and QC strategy.

2

Sample Collection & Preparation

Samples are collected using cold-quenching protocols to preserve metabolic snapshots. Metabolites are extracted using matrix-optimized solvent systems (cold methanol/water/acetonitrile for polar metabolites, acidified extraction for labile intermediates). Isotope-labeled internal standards are spiked at the extraction step for absolute quantification.

3

LC-MS/MS Data Acquisition

Extracted samples are analyzed by UPLC-MRM/MS with scheduled acquisition. Pooled QC samples are injected at regular intervals (every 10 samples) to monitor system stability and correct for signal drift. Blank samples and system suitability checks are performed at the beginning and end of each batch.

4

Quality Control & Data Processing

Raw data undergo peak integration, manual review by experienced analysts, and QC filtering. Metabolites with RSD >30% in pooled QCs are flagged. Batch-effect correction is applied where necessary using QC-based normalization. Calibration curves are evaluated for linearity and accuracy.

5

Statistical Analysis & Biological Interpretation

Processed data are subjected to univariate (t-test, ANOVA, fold-change) and multivariate (PCA, PLS-DA) statistical analysis. Pathway enrichment mapping onto KEGG and Reactome databases highlights dysregulated metabolic nodes. For flux studies, isotopologue distribution analysis is performed using established metabolic models.

6

Final Report & Data Delivery

You receive a comprehensive report including experimental methods, instrument parameters, QC metrics, quantification tables (with absolute concentrations), statistical analysis results, pathway enrichment maps, and a biological interpretation summary. Raw data files and processed peak lists are provided in open formats.

Carbohydrate Metabolism Analysis Workflow — From Sample Preparation to LC-MS/MS Quantification Report

Why Choose Our Targeted Carbohydrate Metabolism Analysis Service?

  • Comprehensive Carbohydrate Pathway Coverage
    Single-service access to 16+ carbohydrate metabolism pathways and 100+ individual metabolites — from glycolysis and TCA cycle to specialized sugar interconversion pathways — eliminating the need to coordinate multiple vendors for multi-pathway studies. Whether you need glycolysis quantification, TCA cycle metabolite panels, or complete central carbon metabolism analysis, our platform covers it all.
  • LC-MS/MS Platform with Proven Sensitivity for Carbohydrate Detection
    SCIEX QTRAP 6500+ series instruments deliver the sensitivity and specificity required for accurate quantification of low-abundance carbohydrate intermediates (LLOQ down to 0.1 ng/mL), with scheduled MRM acquisition enabling simultaneous detection of 100+ analytes — from phosphorylated glycolysis intermediates to neutral monosaccharides — in a single 20-minute run.
  • Rigorous Quality Management for Publication-Ready Data
    Pooled QC samples at regular intervals, isotope-labeled internal standards in every sample, calibration verification standards, and comprehensive batch-effect correction ensure carbohydrate metabolomics data quality that meets the expectations of high-impact peer-reviewed journals — critical for metabolic biomarker discovery and clinical metabolomics studies.
  • Expert Metabolomics Support from PhD-Level Scientists
    Our team provides end-to-end support from experimental design through data interpretation, helping you select the right panels for cancer cell metabolism, diabetes research, cardiac energy metabolism, or plant sugar metabolism profiling, and optimize sample collection protocols for reliable results.
  • Flexible Project Scope for Diverse Research Needs
    Services range from single-pathway targeted quantification (glycolysis assay, TCA cycle detection) to multi-pathway integrated panels, with optional stable isotope tracing for metabolic flux analysis, cross-platform data integration, and downstream bioinformatics — tailored to your specific research questions and budget.
  • Custom Assay Development for Specialized Targets
    For research requiring detection of unique carbohydrate metabolites, unusual matrices, or novel pathway combinations not covered by our standard panels, our method development team designs, optimizes, and validates custom LC-MS/MS assays — including stable isotope tracer method development, chiral separation of carbohydrate stereoisomers, and multi-platform integration.

Applications of Carbohydrate Metabolism Analysis — From Cancer Research to Food Science

Cancer Metabolism & Warburg Effect Analysis

Quantify glycolytic and TCA cycle metabolites to characterize the Warburg effect and identify oncometabolites in tumor cells via our oncometabolites analysis service.

Diabetes & Metabolic Syndrome Research

Profile glycolysis, gluconeogenesis, and TCA cycle activity in insulin-sensitive tissues to identify metabolic bottlenecks in type 2 diabetes, insulin resistance, and metabolic syndrome — supporting longitudinal intervention studies tracking therapy effects on central carbon metabolism.

Cardiac Energy Metabolism & Heart Failure

Assess cardiac energy metabolism by quantifying glucose utilization and TCA cycle activity in heart tissue. Monitor metabolic substrate shifts in cardiac hypertrophy, heart failure, and ischemia-reperfusion injury models for cardiac metabolomics and cardioprotection research.

Drug Development, Toxicology & MoA Studies

Evaluate drug-induced metabolic perturbations by monitoring glycolysis intermediates, TCA cycle metabolites, and energy cofactors (ATP/ADP/NAD+). Identify off-target effects on energy metabolism early in drug development and characterize mechanism of action through metabolic phenotype profiling.

Food Science, Sugar Profiling & Quality Control

Quantify sugar composition and carbohydrate profiles in food products, monitor fermentation processes, and assess nutritional quality. Applications include food storage optimization, quality control, functional food development, and sports nutrition authentication.

Agricultural & Plant Sugar Metabolism

Measure carbohydrate metabolite profiles in crops to study stress resistance, growth and development, and fruit quality. Supports applications from crop metabolomics and marker-assisted breeding to post-harvest physiology and bioenergy crop optimization.

Exercise Physiology & Mitochondrial Function

Quantify glycolysis and TCA cycle intermediates in skeletal muscle and biofluids to assess exercise-induced metabolic adaptations and mitochondrial function. Supports exercise metabolomics studies tracking glycolytic flux, lactate clearance, and TCA cycle anaplerosis in training and fatigue models.

Gut Microbiome-Host Metabolic Interaction

Profile carbohydrate-derived metabolites in feces and host tissues to investigate how gut microbiota influences host carbohydrate metabolism. Detects microbial fermentation products (SCFAs, lactate, succinate) and host-derived sugar intermediates for microbiome-metabolomics studies.

Sample Requirements for Carbohydrate Metabolism Analysis

Sample Type Minimum Amount Collection & Preparation Storage & Shipping
Plasma / Serum ≥ 100 µL Collect in EDTA or heparin tube; centrifuge 1,500g × 10 min at 4°C; aliquot supernatant immediately; avoid hemolysis −80°C; ship on dry ice
Tissue (animal / plant) ≥ 50 mg wet weight Snap freeze in liquid N₂ within 2 min of collection; remove excess blood or debris; store in pre-cooled cryovial −80°C; ship on dry ice
Cell Pellets ≥ 1×10⁷ cells Wash with cold PBS (4°C); centrifuge at 500g × 5 min; remove supernatant completely; snap freeze pellet −80°C; ship on dry ice
Urine / Bile / Biofluids ≥ 200 µL Centrifuge to remove particulates (10,000g × 5 min); aliquot supernatant; avoid repeated freeze-thaw cycles −80°C; ship on dry ice
Feces / Gut Content ≥ 200 mg Homogenize in cold extraction solvent (methanol/water); aliquot into pre-weighed tubes −80°C; ship on dry ice
Plant Tissue / Yeast / Microorganisms ≥ 100 mg fresh weight Quench in liquid N₂ immediately; lyophilize or extract in cold 70% methanol/water; centrifuge and collect supernatant −80°C (lyophilized: room temperature, desiccated); ship on dry ice

Metabolomics Data Deliverables & Analysis Report

Carbohydrate Quantification Report: Absolute concentrations (ng/mL or µM) for each detected glycolysis intermediate, TCA cycle metabolite, and sugar compound across all samples, with isotope-labeled internal standard recovery data and detection limit documentation.

Quality Control Report: Calibration curves (R² ≥ 0.99), intra- and inter-batch precision (%CV <15%), QC sample performance, blank assessments, and system suitability test results — ensuring data meets publication standards.

Method Details: Complete LC-MS/MS acquisition parameters, sample preparation protocols, column specifications, MRM transition tables, and method validation data for full experimental transparency and methods section preparation.

Statistical Analysis: PCA scores plots, volcano plots, heatmaps, pathway enrichment bar charts (KEGG/Reactome), and pairwise comparison tables with fold-change and p-values — enabling identification of significant metabolic changes in glycolysis, TCA cycle, and sugar metabolism pathways.

Biological Interpretation Summary: Pathway-level interpretation connecting quantified carbohydrate metabolite changes to dysregulated biological processes, with KEGG pathway mapping and biological context for significant findings.

Raw Data Files: Vendor instrument files (.raw/.d) and processed peak lists (.mzML or equivalent open-format data matrices) for integration with other omics datasets or re-analysis.

Glycolysis-TCA Pathway Metabolite Profiling — LC-MS/MS MRM Chromatogram Overlay

MRM chromatogram overlay showing simultaneous detection of glycolysis and TCA cycle intermediates in a single 20-minute LC-MS/MS acquisition run.

Glucose and ATP Calibration Curves — Absolute Quantification by LC-MS/MS with Isotope-Labeled Internal Standards

8-point calibration curve (R² ≥ 0.99) for absolute quantification of glucose across four orders of dynamic range, with isotope-labeled internal standard normalization.

QC Reproducibility PCA Plot — Quality Control Assessment for Carbohydrate Metabolomics with Pooled QC Sample Clustering

PCA scores plot demonstrating tight clustering of pooled QC samples (green) and clear biological separation between study groups, confirming data quality and biological signal preservation.

KEGG Pathway Enrichment Map — Glycolysis and TCA Cycle Dysregulation

KEGG pathway enrichment map highlighting glycolysis, TCA cycle, and pentose phosphate pathway nodes with metabolite fold-change heat coloring across experimental conditions.

Frequently Asked Questions About Carbohydrate Metabolism Analysis

What is carbohydrate metabolism analysis and what pathways does it cover?

Carbohydrate metabolism analysis is a targeted LC-MS/MS based service that quantifies metabolites across all major carbohydrate metabolic pathways, including glycolysis (glucose → pyruvate), the TCA cycle (citrate → α-ketoglutarate → succinate → fumarate → malate → oxaloacetate), the pentose phosphate pathway, gluconeogenesis, glycogen metabolism, and specific sugar interconversion pathways (fructose, galactose, starch/sucrose metabolism). Our panels cover 100+ individual metabolites across 16+ pathways in a single service.

What sample types can be analyzed for carbohydrate metabolism profiling?

We accept plasma, serum, urine, bile, CSF, animal tissues (liver, brain, heart, muscle, kidney), cell pellets, feces, plant materials, yeast, and microbial cultures. Minimum requirements: 100 µL for biofluids, 50 mg for tissues, 1×10⁷ cells. Cold-quenching protocols are recommended for accurate glycolytic and TCA cycle intermediate quantification.

Do you provide absolute quantification or just relative abundance for glycolysis and TCA cycle metabolites?

We provide absolute quantification for all targeted metabolites using isotope-labeled internal standards (U-¹³C-glucose, ¹³C-labeled TCA intermediates) and 8-point calibration curves (R² ≥ 0.99). Concentrations are reported in ng/mL, µM, or ng/mg tissue, enabling accurate quantification and cross-study comparability for longitudinal studies.

What is the detection limit for glycolysis and TCA cycle intermediates?

Our LC-MS/MS platform achieves lower limits of quantification (LLOQ) of 0.1–10 ng/mL depending on the analyte. Phosphorylated intermediates (glucose-6-phosphate, fructose-1,6-bisphosphate) are typically quantified at 0.5–5 ng/mL, while abundant metabolites (glucose, lactate, pyruvate) are quantified across a broad dynamic range of 1–10,000 ng/mL. Full sensitivity specifications are provided in the project proposal.

Can you detect both phosphorylated and non-phosphorylated carbohydrate intermediates in a single LC-MS/MS run?

Yes. Our methods use HILIC-based chromatography with polarity-switching ESI to simultaneously detect phosphorylated intermediates (glucose-6-phosphate, fructose-1,6-bisphosphate, 3-phosphoglycerate, PEP) alongside non-phosphorylated metabolites (glucose, fructose, lactate, pyruvate, citrate) in a single 20-minute acquisition — eliminating the need to split samples across multiple methods.

Do you support U-¹³C-glucose tracing for metabolic flux analysis (MFA)?

Yes. We have extensive experience supporting U-¹³C-glucose, U-¹³C-glutamine, and other stable isotope tracer experiments for metabolic flux analysis. Our LC-MS/MS methods capture isotopologue distributions (M0, M1, M2, M3, M4, M5, M6) for glycolytic and TCA cycle intermediates, enabling ¹³C enrichment analysis and flux estimation through central carbon metabolism. We recommend discussing tracer selection and labeling strategy with our scientists before sample collection.

What is the turnaround time and how much does carbohydrate metabolism analysis cost?

Standard projects complete in 4–6 weeks from sample receipt, covering sample preparation, LC-MS/MS acquisition, QC validation, data processing, statistical analysis, and final report. Pricing depends on panel size (single pathway vs. multi-pathway), number of samples, and stable isotope tracing. Contact our team for a customized quote based on your specific project scope. Expedited timelines (3–4 weeks) are available for urgent projects.

How do you ensure data quality and handle batch effects in large metabolomics studies?

We implement multi-layered QC: (1) pooled QC samples at every 10-sample interval throughout each batch, (2) isotope-labeled internal standards in every sample for signal normalization, (3) bridge QC samples shared across batches for inter-batch calibration, (4) statistical batch correction using QC-based robust LOESS normalization when necessary, and (5) metabolite-level QC flags (metabolites with RSD >30% in QCs are marked). These measures ensure data integrity for studies spanning hundreds of samples.

Can I combine carbohydrate metabolism analysis with lipidomics or amino acid panels?

Absolutely. Carbohydrate metabolism panels can be combined with our lipidomics, amino acid analysis, and other targeted metabolomics panels from a single sample submission. This multi-panel approach enables broader metabolic coverage — from energy metabolism to lipid signaling — while eliminating inter-vendor batch effects and simplifying project management under a single workflow.

How many samples are recommended for meaningful statistical analysis in carbohydrate metabolism studies?

We recommend a minimum of 6–10 biological replicates per experimental group for adequate statistical power in targeted carbohydrate metabolism studies. For studies employing multivariate statistics (PCA, PLS-DA) or fold-change-based metabolite discovery, 8–12 replicates per group are preferred. We provide power analysis consultation during project design to help determine optimal sample sizes based on expected effect sizes and biological variability in your specific model system.

How should samples be collected, stored, and shipped for reliable carbohydrate metabolite quantification?

Proper sample handling is critical for accurate quantification of labile carbohydrate metabolites, particularly glycolysis and TCA cycle intermediates. Tissue samples should be snap-frozen in liquid nitrogen within 2 minutes of collection and stored at −80°C. Biofluids should be aliquoted immediately after collection to avoid repeated freeze-thaw cycles. All samples must be shipped on dry ice. We provide detailed collection protocols and sampling kit recommendations upon project initiation to ensure sample integrity from bench to analysis.

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DOI: https://doi.org/10.7554/eLife.65400

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Metabolites and Genes behind Cardiac Metabolic Remodeling in Mice with Type 1 Diabetes Mellitus

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