Educational guide
Targeted Proteomics for Reproducible Protein Analysis
Discovery plasma proteomics is generating valuable biological insights, but translating relative protein signals into clinically actionable measurements remains a challenge. Variability across cohorts, laboratories, and platforms can limit reproducibility and
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Discovery plasma proteomics is generating valuable biological insights, but translating relative protein signals into clinically actionable measurements remains a challenge. Variability across cohorts, laboratories, and platforms can limit reproducibility and data comparability.
In this episode of Teach Me in 10, Dr. Fredrik Edfors, assistant professor in systems biology at KTH Royal Institute of Technology, explains how targeted LC-MS/MS assays measure selected proteotypic peptides as proxies for proteins, and how stable isotope-labelled standards transform variable signals into robust quantitative ratios.
Watch this episode to explore:
- How targeted LC-MS/MS enables more reliable protein quantification
- Why stable isotope-labelled standards improve reproducibility across studies
- Why protein-level standards, multi-peptide quantification, and standardized workflows are essential for clinical interpretability
Further Resources:
Meet the Authors
Assistant Professor
Fredrik Edfors, PhD, Docent, is an Assistant Professor in Systems Biology at KTH Royal Institute of Technology and SciLifeLab, and a DDLS SciLifeLab and Wallenberg Fellow in Precision Medicine and Diagnostics. His research focuses on data-driven precision medicine, plasma proteomics, and the development of targeted mass spectrometry workflows for clinically interpretable protein measurements. He leads work on translating large-scale discovery proteomics into standardized, quantitative assays that can support biomarker validation, disease stratification, and longitudinal monitoring. A central focus of his group is the use of stable isotope-labelled standards, multi-peptide protein quantification, and scalable LC-MS/MS workflows to improve reproducibility and clinical interpretability in blood-based proteomics.
Assistant Science Writer
Georgina Davies holds a First-Class BSc in Animal Behaviour and a Master of Philosophy (MPhil) in Anthrozoology from Liverpool John Moores University, along with a Certificate of Higher Education in Neuroscience from Cardiff University. Her academic journey has been driven by a fascination with biological systems and a rigorous approach to research, earning her recognition as the top-performing student in her cohort. Before joining Technology Networks, Georgina built a strong foundation in translating technical research into clear, accessible narratives for diverse audiences.