What Is PeptiQuant Onco?

PeptiQuant Onco is a targeted proteomics platform that provides assays for the absolute quantification of up to 1,250 cancer-associated protein variants and their wild-type counterparts. Built on liquid chromatography–multiple reaction or parallel reaction monitoring mass spectrometry (LC-MRM, PRM/MS), each assay combines optimized target peptides with 13C- and 15N-labeled internal standards, enabling reliable and reproducible measurement of wild-type and variant protein expression (mutation rate) to support precision oncology research.

Supported by Genome Québec and Genome Canada

Our Mission

Knowing that understanding mutation-driven protein expression is essential for biomarker discovery and targeted therapy development, we enable researchers to study and identify cancer-associated protein and protein variants by providing scalable, quantitative measurements at the protein level.

The Challenge

Quantifying protein variants reliably is difficult for several reasons:

  • Variant detection: Mutant proteins can differ from near-identical wild-type counterparts by as little as a single residue, demanding highly specific assays.
  • Absolute quantification: True absolute quantification requires robust internal standards and carefully optimized workflows.
  • Scalable assay development: Selecting suitable peptide targets and optimizing assays is complex, which has historically limited how many variants can be measured at once.

Key Innovation: Variant-Specific Peptide Selection

At the core of the platform is a proprietary bioinformatics pipeline used to generate and evaluate proteogenotypic peptides from both variant (mutant) and wild-type protein sequences, allowing us to select only the highest-confidence targets for each. Automating this selection is what makes specific, reliable quantification possible at scale.

Technologies & Methods

Targeted mass spectrometry

  • MRM (Multiple Reaction Monitoring): Sensitive, reproducible quantification of predefined peptides on triple-quadrupole instruments.
  • PRM (Parallel Reaction Monitoring): High-resolution analysis with enhanced specificity for wild-type and variant detection.
  • Optimized assays: Transitions and instrument parameters tuned to each mutation and paired wild-type target.

Assay Features

High-confidence quantification at scale

  • Synthetic and well-characterized stable isotope (13C/15N)-labeled peptides serve as internal standards for absolute quantification. Mutation-specific designs target clinically and biologically relevant variants.
  • A spike-in strategy using defined light-to-heavy ratios enables sensitive and precise detection of low-abundance variants.
  • Validated for linearity, sensitivity, and repeatability following NIH CPTAC guidelines.
  • Multiplex capability across hundreds of mutant and wild-type protein pairs in a single LC-MS run.
  • Flexible formats: predefined or fully customizable target panels.

Research Applications

Confirm which genetic variants are expressed at the protein level to support research towards precision medicine.
Measure how therapies affect mutant versus wild-type protein to guide dosing, efficacy, and off-target effects.
Reveal which mutations produce stable, detectable protein and quantify their abundance.
Detect and quantify tumor-specific mutant proteins for biomarker development.
Connect genomic variation to protein-level expression through definitive absolute quantification.

Team & Acknowledgments

Principal Investigators

Dr. Christoph Borchers, PhD
McGill University

Dr. René Zahedi, PhD
University of Manitoba

Dr. Yassene Mohammed, PhD
Leiden University Medical Center

Core Scientific Team

Vincent R. Richard, PhD · Pallab Bhowmick, PhD · Constantinos Blidjios, MSc · Foroughsadat Absar, MSc · Timon Geib, PhD · Laleh E. Ghahnavieh, MSc · Pradyumn Maheshwari, MSc · Ruhi Jaiswal, MSc · Claudia Gaither, PhD · Robert Popp, PhD

Development Team

A multidisciplinary team of proteomics scientists, bioinformaticians, and software engineers.

Funding & Support

Funded through the Genomic Applications Partnership Program (GAPP), with support from Genome Québec and Genome Canada.

Industry Partners

MRM Proteomics (MRMP) · Agilent Technologies

How to Cite

If you use PeptiQuant Onco in your research, please cite:

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Contact

Get in touch to learn more about how PeptiQuant Onco can support your research.

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