Validation of a Mass Spectrometry–Based Proteomics Molecular Pathology Assay

Mass spectrometry-based proteomics has been applied to many fields and has made major contributions to our understanding of biology and medicine. Translation of this technology and assays to patient testing has been limited despite grand expectations. The amyloid protein identification by LC-MS test is one successful example of the adaptation of this technology by molecular and clinical pathology laboratories. Through the illustration of this assay, we will address some of these challenges and outline a process for validation and implementation of mass spectrometry-based proteomics in the molecular pathology laboratory.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-12-12
DOI
https://doi.org/10.1016/j.mcpro.2025.101487
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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Validation of a Mass Spectrometry–Based Proteomics Molecular Pathology Assay

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Validation of a Mass Spectrometry–Based Proteomics Molecular Pathology Assay

Maria Stella Ritorto, A. Walland, Ahmet Doǧan, Jessica Wardrope, Oana Madalina Mereuta, Jeeyeon Baik, S. Stephen Yi, Ashley Wooten, Jessica R. Chapman, Kristel Flor
article en

Abstract

Mass spectrometry-based proteomics has been applied to many fields and has made major contributions to our understanding of biology and medicine. Translation of this technology and assays to patient testing has been limited despite grand expectations. The amyloid protein identification by LC-MS test is one successful example of the adaptation of this technology by molecular and clinical pathology laboratories. Through the illustration of this assay, we will address some of these challenges and outline a process for validation and implementation of mass spectrometry-based proteomics in the molecular pathology laboratory.

Molecular & Cellular ProteomicsVol. 25(1)
Memorial Sloan Kettering Cancer Center (US)
Farmer Family Foundation, National Institutes of Health
Openalex Percentile: Top 64%
Advanced Proteomics Techniques and Applications
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