Quality Assurance for Multiplex Quantitative Clinical Chemistry Proteomics in Large Clinical Trials
This is the first study of its kind in which qCCP was performed at this scale. This research successfully demonstrates the feasibility of high-throughput LC-MS/MS applications in large clinical trials. ClinicalTrials.gov Registration Number: NCT01663402.
Authors
- J. Wouter Jukema (ORCID: https://orcid.org/0000-0002-3246-8359)
- Nico P.M. Smit (ORCID: https://orcid.org/0000-0002-8166-5332)
- Christa M. Cobbaert (ORCID: https://orcid.org/0000-0003-3565-1404)
- Maxim M. Treep (ORCID: https://orcid.org/0000-0002-0725-608X)
- Mervin Pieterse
- Nina M. Diederiks (ORCID: https://orcid.org/0000-0001-9138-1969)
- Fred P.H.T.M. Romijn (ORCID: https://orcid.org/0000-0003-4470-7959)
- Esther Reijnders (ORCID: https://orcid.org/0000-0003-3520-5869)
- L. Renee Ruhaak (ORCID: https://orcid.org/0000-0003-3737-3807)
- Edwin R Schipper
- Sonja Didden-Buitendijk
- Machteld C Martherus-Bultman
- Figen Arslan
- Julien J J Georges
Institutions
- Leiden University Medical Center (NL)
- Netherlands Heart Institute (NL)
Publication Details
- Journal
- The Journal of Applied Laboratory Medicine
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1093/jalm/jfae092
- Citations
- 2
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.48
Funders
- Sanofi