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Published on: May 1, 2017
DiffN Selection of Tandem Mass Spectrometry Precursors
Tyler S Larson1, Cameron D Worthington1, Matthew D Verber2
1Department of Chemistry, University of North Carolina at Chapel Hill, Kenan and Caudill Laboratories, Chapel Hill, North Carolina 27599-3290, United States.
A new DiffN data-dependent acquisition approach improves biomarker discovery by selecting ions based on differential intensity between samples, outperforming the traditional TopN method for lipidomic analysis.
Area of Science:
- Mass spectrometry
- Lipidomics
- Biomarker discovery
Background:
- Current data-dependent acquisition (DDA) methods like TopN rely on absolute ion intensity, potentially missing low-abundance biomarkers.
- Identifying differentially abundant molecules is crucial for understanding biological processes and disease states.
Purpose of the Study:
- To introduce and validate a novel DDA approach, DiffN, for enhanced biomarker discovery.
- To compare the efficacy of DiffN against the conventional TopN approach in lipidomic analyses.
Main Methods:
- Development of the DiffN approach utilizing a dual nano-electrospray ionization source for parallel sample analysis.
- Application of DiffN and TopN DDA methods to compare lipid profiles of colorectal cancer cell lines (SW480 and SW620).
Main Results:
- The DiffN approach successfully targets ions with the largest fold changes between samples.
- DiffN demonstrated a higher probability of identifying significant lipid biomarkers compared to TopN in colorectal cancer cell lines.
- Analysis of SW480 and SW620 cell lines revealed differences in lipid abundance, highlighting DiffN's utility.
Conclusions:
- The DiffN DDA approach offers a more efficient strategy for selecting precursor ions of interest in lipidomics.
- DiffN enhances the likelihood of biomarker discovery by focusing on relative intensity differences.
- This method holds potential for broader applications in shotgun analyses of various molecule classes.
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