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Kennedy Pathway Metabolites Quantification Service

Targeted LC–MS/MS quantification for CDP-choline (PC) and CDP-ethanolamine (PE) synthesis

Membrane phenotypes often come down to one question: is PC/PE synthesis changing—and where is the bottleneck?

Our Kennedy pathway assay provides step-resolved quantitative readouts across the CDP-choline and CDP-ethanolamine branches—from phosphorylated intermediates → CDP-activated intermediates → PC/PE outputs—with an optional stable-isotope tracing module to distinguish reduced synthesis vs increased turnover.

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Why Quantify the Kennedy Pathway

Phosphatidylcholine (PC) and phosphatidylethanolamine (PE) are dominant membrane phospholipids, and the Kennedy pathway (CDP-choline / CDP-ethanolamine) is a primary synthesis route supplying them. In many mechanism studies, the critical question is not simply whether PC/PE changes, but what drives the change: precursor availability, a block at a specific step, altered DAG utilization, or increased remodeling/turnover.

By quantifying step-specific intermediates (e.g., phosphocholine, phosphoethanolamine, CDP-choline, CDP-ethanolamine) together with PC/PE outputs (and optional DAG and isotope tracing), this service helps you:

  • Identify enzymatic rate-limiting steps and metabolic flux bottlenecks across the Kennedy architecture.
  • Deconvolute the dynamics of steady-state shifts: distinguishing biosynthetic attenuation from accelerated phospholipolysis/remodeling.
  • Explain membrane-driven phenotypes (ER/mitochondria/lipid droplets, stress responses) with quantitative evidence
  • Validate gene/compound mechanisms of action using direct pathway readouts
  • Track process/condition effects (media/nutrients/time-course) with reproducible metrics

Kennedy Pathway Analysis Service Modules & Quantification Options

Kennedy Pathway Polar Intermediates

Targeted quantification of water-soluble intermediates to pinpoint the rate-limiting step(s) in PC/PE synthesis, including phosphorylated and CDP-activated intermediates.

PC/PE Outputs (Targeted Lipidomics Panel)

Quantitative profiling of PC and PE to capture pathway outputs and membrane composition changes.

  • Sum-composition profiling (e.g., PC 34:1, PE 36:2)
  • MS/MS-confirmed species (fatty-acyl–resolved assignment where feasible)

Stable-Isotope Tracing

Isotopologue and label-incorporation analysis to distinguish reduced synthesis flux from increased turnover/remodeling, supporting time-course and perturbation studies.

Quantification Options

  • Relative Quantification: best for screening, prioritization, and hypothesis generation
  • Absolute Quantification: calibration-curve based concentration reporting with internal-standard correction (fit-for-purpose design based on analyte availability and matrix)

Options & Add-Ons

  • DAG Readout (Substrate Pool): DAG class and/or species profiling to support Kennedy pathway interpretation
  • Turnover/Remodeling Support: LPC/LPE (optional) and related phospholipid classes when needed
  • Plasmalogen Extension: PE(P-)/PE(O-) panels for membrane/mitochondria-related projects
  • Custom Panel Expansion: add or remove targets (e.g., GPC/GPE, nucleotides) to match your pathway hypothesis and sample matrix

Target List & Panel Coverage

Table 1. Polar Intermediates

Branch Analytes (Targeted Quant) Notes
CDP-choline (PC synthesis) Choline; Betaine; Phosphocholine; CDP-choline (Citicoline); Cytidine; CMP; CTP; Glycerophosphocholine (GPC) Best for pinpointing bottlenecks (e.g., phosphocholine → CDP-choline)
CDP-ethanolamine (PE synthesis) Ethanolamine; Phosphoethanolamine; CDP-ethanolamine; Glycerophosphoethanolamine (GPE) Best for PE synthesis capacity and distinguishing Kennedy vs. PSD pathways.

Table 2. PC/PE Lipid Species Panel

We report PC/PE as sum compositions (total carbons : total double bonds), which is standard for targeted phospholipid profiling.

Lipid Class Species Coverage
Phosphatidylcholine (PC) PC(28:0), PC(28:1), PC(30:0), PC(30:1), PC(30:2),
PC(32:0), PC(32:1), PC(32:2), PC(32:3),
PC(34:0), PC(34:1), PC(34:2), PC(34:3), PC(34:4),
PC(36:0), PC(36:1), PC(36:2), PC(36:3), PC(36:4), PC(36:5), PC(36:6),
PC(38:0), PC(38:1), PC(38:2), PC(38:3), PC(38:4), PC(38:5), PC(38:6), PC(38:7), PC(38:8),
PC(40:0), PC(40:1), PC(40:2), PC(40:3), PC(40:4), PC(40:5), PC(40:6), PC(40:7), PC(40:8),
PC(42:0), PC(42:1), PC(42:2), PC(42:3), PC(42:4), PC(42:5), PC(42:6), PC(42:7), PC(42:8),
PC(44:0), PC(44:1), PC(44:2), PC(44:3), PC(44:4), PC(44:5), PC(44:6), PC(44:7), PC(44:8), PC(44:9), PC(44:10), PC(44:11), PC(44:12)
Phosphatidylethanolamine (PE) PE(30:0), PE(30:1), PE(30:2),
PE(32:0), PE(32:1), PE(32:2), PE(32:3),
PE(34:0), PE(34:1), PE(34:2), PE(34:3), PE(34:4),
PE(36:0), PE(36:1), PE(36:2), PE(36:3), PE(36:4), PE(36:5), PE(36:6),
PE(38:0), PE(38:1), PE(38:2), PE(38:3), PE(38:4), PE(38:5), PE(38:6), PE(38:7), PE(38:8),
PE(40:0), PE(40:1), PE(40:2), PE(40:3), PE(40:4), PE(40:5), PE(40:6), PE(40:7), PE(40:8),
PE(42:0), PE(42:1), PE(42:2), PE(42:3), PE(42:4), PE(42:5), PE(42:6), PE(42:7), PE(42:8),
PE(44:0), PE(44:1), PE(44:2), PE(44:3), PE(44:4), PE(44:5), PE(44:6), PE(44:7), PE(44:8), PE(44:9), PE(44:10), PE(44:11), PE(44:12)

Optional lipid add-ons (common in ER/mitochondria projects):

  • PE plasmalogens: PE(P-) / PE(O-) (panelized by sum composition)
  • DAG species (sum composition set)
  • LPC/LPE species panel

Advantages of Kennedy Pathway Metabolites Analysis Service

  • Up to 10⁶ linear dynamic range for targeted quantification
    Modern tandem quadrupole systems commonly specify six orders of linear dynamic range for quantitative MRM/SRM workflows.
  • High-sensitivity MRM suited for low-abundance intermediates
    Example capability (platform spec): QTRAP 6500+ reports 1 pg on-column reserpine at S/N > 1,500,000 in positive MRM.
  • High-speed scheduled MRM ensuring >15 data points per peak even for dense panels
    Example capability: TSQ Altis class performance notes up to ~600 SRMs/sec, supporting robust scheduled MRM methods.
  • Flux-ready option for mechanism clarity
    Stable-isotope tracing provides isotopologue distributions and label incorporation to interpret pathway activity rather than only steady-state abundance.
  • Fit-for-purpose quantitation (absolute or relative)
    Choose absolute quantification (calibration curve-based) when cross-study comparability is needed, or relative quantification for screening/priority setting.

Workflow for Kennedy Pathway Metabolites Panel Analysis

1

Project scoping: research question → select modules → confirm target list and quant type (absolute/relative)

2

Study design support: replicates, randomization, QC placement; isotope tracer design (if Module C)

3

Sample receipt & batch plan: condition check, storage verification, run order & QC schedule

4

Extraction + internal standards: optimized workflows for polar intermediates and lipids

5

LC–MS/MS acquisition: scheduled MRM/SRM with appropriate polarity switching

6

Quantification & QC review: calibration, IS correction, carryover checks, QC drift evaluation

7

Reporting & delivery: final tables + QC package + method details + raw files

Kennedy Pathway Metabolites Panel Analysis Workflow

Analytical Platform (LC–MS/MS) & Key Parameter

Primary Platform

Triple Quadrupole LC–MS/MS for targeted quantification (MRM/SRM): SCIEX QTRAP 6500+ (Scheduled MRM / MRM)

  • Mass range: m/z 5–2000
  • Polarity switching: ~5 ms
  • Minimum dwell time: 1 ms
  • High-throughput targeted acquisition suitable for dense panels (scheduled MRM)

Chromatography Setups (Representative)

  • Polar intermediates (Module A): HILIC LC method with positive/negative switching as needed
  • PC/PE lipids (Module B): UPLC–C18 method optimized for phospholipids

Exact column chemistries, gradients, and run times are finalized after we confirm your sample matrix and throughput goals.

Optional (Upon Request)

If your study requires additional confirmation or expanded profiling, we can discuss alternative LC–MS configurations (e.g., high-resolution MS) based on project goals and sample matrix.

SCIEX ExionLC AD System

ExionLC AD System (Figure from Sciex)

SCIEX Triple Quad™ 6500+

Triple Quad™ 6500+ (Figure from Sciex)

Thermo Scientific TSQ Altis Triple Quadrupole MS

TSQ Altis Triple Quadrupole MS (Figure from Thermo Scientific)

Sample Requirements for Kennedy Pathway Quantification

Sample Type Minimum Amount (per sample) Recommended Amount (per sample) Accepted Format Storage Shipping Key Notes
Cultured cells (pellet) 0.5 × 10^6 cells 1–5 × 106 cells Cell pellet in tube (no media) −80°C Dry ice Wash with cold PBS; remove supernatant completely; avoid repeated freeze–thaw
Tissue 10 mg 20–50 mg Snap-frozen tissue piece −80°C Dry ice Minimize handling time; record wet weight; avoid thawing during aliquoting
Plasma / Serum (research) 30 µL 50–100 µL Aliquoted liquid in screw-cap tube −80°C Dry ice Avoid hemolysis; use low-bind tubes if possible; avoid >1 freeze–thaw cycle
Culture medium / supernatant 100 µL 200–500 µL Clarified supernatant (optional spin) −80°C Dry ice Provide medium blank if available; record time point and cell count/viability
Isotope tracing samples (optional) Same as above Same as above Same as above −80°C Dry ice Provide tracer identity, labeling duration, media formulation, and time points

General recommendations

  • Biological replicates: ≥ 3 per group (more recommended for subtle effects)
  • Packaging: Seal tubes with parafilm; place in secondary sealed bag; include sample manifest (ID, matrix, group, volume/mass, storage history)
  • Stability: Keep samples frozen at all times; avoid thaw/refreeze cycles

What You Receive (Deliverables)

Quantification results table (CSV/XLSX)

  • Absolute concentrations (if absolute quant is selected) or normalized relative abundances
  • Unit options: pmol/mg tissue, pmol/10^6 cells, µM, etc. (as appropriate)

QC & Batch Performance Report (PDF)

  • Internal standard performance
  • Calibration curve summary (range, regression type, R², back-calculation residuals)
  • QC sample CVs and batch drift checks (when QC pools are provided/created)

Peak evidence package

  • Representative chromatograms for key analytes
  • Peak integration snapshots for flagged features (e.g., low S/N, interference)

Method summary (PDF)

  • Extraction outline, LC conditions, MRM/SRM transition list (or PRM list), instrument settings, polarity switching setup

Raw data files

  • Vendor formats (e.g., .wiff / .raw) + sequence list
  • Processed peak area tables (pre- and post-IS correction)

(If Module C) Isotope tracing outputs

  • Isotopologue distributions (M+0…M+n)
  • Label incorporation rate summaries and tracer-specific notes
LC–MS/MS MRM chromatograms of phosphocholine, CDP-choline, phosphoethanolamine, CDP-ethanolamine.

Representative MRM chromatograms for Kennedy intermediates showing clean peaks and low background.

Multi-point calibration plots with regression, R², and LLOQ table for Kennedy targets.

Calibration curves with wide linear range and LLOQ summary for absolute quantification.

Run-order drift plot and CV boxplot/histogram for pooled QC in targeted LC–MS/MS.

Pooled QC stability across run order and CV distribution demonstrating batch-level reproducibility.

Pathway schematic with color-coded node changes for choline/ethanolamine branches and PC/PE outputs.

Kennedy pathway map overlaying log2 fold changes and q-values for mechanism-ready interpretation.

Research Applications: Kennedy Pathway PC/PE Synthesis Quantification

Membrane lipid homeostasis (PC/PE synthesis)

Targeted LC–MS/MS quantification of PC/PE balance and pathway intermediates.

ER & lipid droplet biology

Link phenotypes to Kennedy pathway capacity vs lipid remodeling/turnover.

Mitochondria-related membrane studies (PE-focused)

Quantify CDP-ethanolamine branch intermediates and PE output shifts.

Gene perturbation & pathway bottleneck mapping

Identify rate-limiting steps via phosphocholine/CDP-choline and related intermediates.

Compound MoA & pathway engagement

Confirm on-pathway effects; optional stable isotope tracing for flux vs turnover.

Nutrient/media & time-course studies

Track choline/ethanolamine utilization dynamics with quantitative readouts.

Phosphate Limitation Drives Phospholipid Remodeling in a Host–Symbiont System


Journal: mBio

Published: 2024-08-06

DOI: https://doi.org/10.1128/mbio.01059-24


Background

Reef-building cnidarians rely on intracellular photosynthetic symbionts, and maintaining a stable symbiosis requires tight coordination of host and algal cell division. While nitrogen control has been widely discussed, this study tested whether phosphate availability can act as a key regulator—linking nutrient status to membrane phospholipid pools and, ultimately, symbiont proliferation.

Samples:

  • Symbionts grown in culture under phosphate-replete vs phosphate-depleted conditions
  • Freshly isolated symbionts from the host for comparison to in vitro states

Technical Methods (Study Summary)

  • Phosphate status characterization comparing in-host vs in vitro conditions
  • Transcriptomics (RNA-seq) to evaluate phosphate-responsive programs
  • Lipid profiling to assess membrane lipid changes under phosphate limitation

Results

  • Freshly isolated symbionts exhibited a phosphate-limited state comparable to phosphate-starved cultures.
  • Phosphate limitation was associated with broad lipid changes, including reduced phospholipid abundance, supporting a nutrient-to-membrane link in symbiont cell division control.

How Our Service Supports Similar Projects

Studies like this often identify "phospholipids change" as a key signature, but mechanism interpretation benefits from step-resolved quantification and species-level readouts. Our Kennedy Pathway Metabolites Quantification (Targeted LC–MS/MS) can be used to strengthen conclusions by addressing:

  • Which synthesis branch is constrained?
    Polar Intermediates quantifies pathway intermediates such as phosphocholine / CDP-choline and phosphoethanolamine / CDP-ethanolamine, enabling bottleneck localization (precursor limitation vs CDP-activation step constraints).
  • Which membrane outputs shift?
    PC/PE Outputs quantifies PC/PE species (sum composition; optional MS/MS-confirmed species) to reveal how membrane composition changes under phosphate limitation.
  • Is the change reduced synthesis or increased turnover?
    Optional Stable-Isotope Tracing provides isotopologue/label incorporation outputs to separate flux reduction from remodeling/turnover-driven differences (fit for time-course or nutrient-shift experiments).

Reference

  1. Faulstich, N. G., et al. "Evidence for phosphate-dependent control of symbiont cell division in the model anemone Exaiptasia diaphana." mBio (2024).

How do you distinguish between the Kennedy pathway and the Mitochondrial PSD pathway for PE synthesis?

The CDP-ethanolamine (Kennedy) pathway and the Phosphatidylserine Decarboxylase (PSD) pathway both contribute to the Phosphatidylethanolamine (PE) pool. While steady-state quantification shows total PE levels, we utilize Stable Isotope Tracing (e.g., [D4]-ethanolamine vs. [D3]-serine) to deconvolute their relative contributions. This allows researchers to pinpoint whether a PE deficit originates from Kennedy pathway impairment or mitochondrial dysfunction.

Why is the quantification of CDP-choline considered more critical than Phosphocholine alone?

CDP-choline is the direct precursor for PC synthesis and is produced by the rate-limiting enzyme CCT (Choline-phosphate cytidylyltransferase). Phosphocholine levels often act as a substrate reservoir; therefore, the CDP-Choline/Phosphocholine ratio serves as a high-fidelity metabolic proxy for CCT activity. Measuring both allows for the identification of enzymatic bottlenecks that a single-analyte measurement would miss.

How does your platform mitigate the high turnover rate and degradation of CDP-intermediates?

CDP-activated intermediates are chemically unstable and susceptible to rapid enzymatic hydrolysis. Our protocol employs immediate quenching with ice-cold, mass-spec grade organic solvents and matrix-matched internal standards spiked at the earliest stage of extraction. This ensures that the measured concentrations reflect the true biological state at the moment of sampling, minimizing artifacts from post-harvest degradation.

What are the primary advantages of HILIC-based chromatography for polar intermediate analysis?

Kennedy pathway intermediates (e.g., Choline, CDP-Choline) are highly polar and poorly retained on standard C18 columns. Our Hydrophilic Interaction Liquid Chromatography (HILIC) setup provides superior peak shape and retention for these species. This drastically reduces ion suppression from matrix co-elution, ensuring accurate quantification and consistent sensitivity across complex biological matrices like liver tissue or primary neurons.

How should biological replicates be handled for isotope tracing flux studies?

For flux analysis, we recommend a minimum of n=5 biological replicates per group to account for metabolic variability. Because isotope incorporation is time-dependent, consistent pulse-chase duration and synchronized cell harvesting are critical. We provide custom study design consultation to help you determine the optimal labeling window based on the metabolic rate of your specific model system.

Can this panel provide species-level resolution for PC and PE outputs?

Yes. While we provide sum-composition profiling (e.g., PC 34:1) for high-throughput screening, our platform is capable of fatty-acyl resolved assignment (e.g., PC 16:0/18:1). This level of detail is essential for studying Lands' Cycle (remodeling) and the activity of specific phospholipases or acyltransferases.

Annexin A2 modulates phospholipid membrane composition upstream of Arp2 to control angiogenic sprout initiation

Sveeggen, T. M., Abbey, C. A., Smith, R. L., Salinas, M. L., Chapkin, R. S., & Bayless, K. J.

Journal: The FASEB Journal

Year: 2023

DOI: https://doi.org/10.1096/fj.202201088R

Loss of G0/G1 switch gene 2 (G0S2) promotes disease progression and drug resistance in chronic myeloid leukaemia (CML) by disrupting glycerophospholipid metabolism

Gonzalez, M. A., Olivas, I. M., Bencomo‐Alvarez, A. E., Rubio, A. J., Barreto‐Vargas, C., Lopez, J. L., ... & Eiring, A. M.

Journal: Clinical and Translational Medicine

Year: 2022

DOI: https://doi.org/10.1002/ctm2.1146

Evidence for phosphate-dependent control of symbiont cell division in the model anemone Exaiptasia diaphana

Faulstich, N. G., Deloach, A. R., Ksor, Y. B., Mesa, G. H., Sharma, D. S., Sisk, S. L., & Mitchell, G. C.

Journal: mBio

Year: 2024

DOI: https://doi.org/10.1128/mbio.01059-24

A cryptic START domain regulates deeply conserved transcription factors

Dresden, C. E., et al.

Journal: bioRxiv (Preprint)

Year: 2025

DOI: https://doi.org/10.1101/2025.07.29.667167

Lipid Membrane Engineering for Biotechnology (Doctoral dissertation, Aston University)

Gomes Almeida, A. C.

Journal: Lipid Membrane Engineering for Biotechnology

Year: 2023

DOI: https://doi.org/10.48780/publications.aston.ac.uk.00046663

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