Mouse Plasma Peptide Atlas for Disease Proteomics
Author Information
Author(s): Zhang Qing, Menon Rajasree, Deutsch Eric W, Pitteri Sharon J, Faca Vitor M, Wang Hong, Newcomb Lisa F, DePinho Ronald A, Bardeesy Nabeel, Dinulescu Daniela, Hung Kenneth E, Kucherlapati Raju, Jacks Tyler, Politi Katerina, Aebersold Ruedi, Omenn Gilbert S, States David J, Hanash Samir M
Primary Institution: Fred Hutchinson Cancer Research Center
Hypothesis
Can an in-depth analysis of mouse plasma lead to the identification of novel biomarkers for disease detection?
Conclusion
The study developed a publicly available repository of mouse plasma peptides, identifying 13,779 distinct peptides and approximately 3,000 proteins.
Supporting Evidence
- A total of 13,779 distinct peptides were identified with high confidence.
- The repository includes data from 568 LC-MS/MS runs.
- Approximately 3,000 proteins were estimated to span a 7 logarithmic range of abundance in plasma.
- Novel isoforms and transcript variants not previously predicted from genome analysis were identified.
Takeaway
Scientists studied mouse blood to find tiny pieces of proteins that could help detect diseases early. They found a lot of different proteins that could be important for understanding health.
Methodology
The study used liquid chromatography-tandem mass spectrometry (LC-MS/MS) to analyze plasma samples from four mouse reference pools.
Limitations
The study primarily focused on mouse models, which may not fully represent human disease biology.
Participant Demographics
The study involved pooled plasma samples from genetically engineered mouse models of cancer.
Digital Object Identifier (DOI)
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