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Deep Spectral Library of Mice Retina for Myopia Research: Proteomics Dataset generated by SWATH and DIA-NN
Ying Hon Sze1,2, Dennis Yan Yin Tse1,2,3, Bing Zuo1
1Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Scientific Data
|October 10, 2024
Summary
Researchers identified thousands of proteins in mouse retinas during myopia development using advanced mass spectrometry. This comprehensive dataset aids understanding of retinal proteome complexity and myopia progression.
Area of Science:
- Proteomics
- Ophthalmology
- Neuroscience
Background:
- The retina is vital for visual processing and is implicated in myopia development.
- Data-independent acquisition (DIA) offers a powerful approach for proteomic analysis.
Purpose of the Study:
- To perform deep proteome identification and quantification in individual mouse retinas during myopia development.
- To generate a comprehensive, mouse retinal-specific spectral library for enhanced proteomic analysis.
Main Methods:
- Utilized SWATH-MS acquisition on a ZenoTOF 7600 mass spectrometer.
- Employed a predicted retinal-specific spectral library for data-independent acquisition (DIA) analysis.
- Generated a spectral library with 9,401 protein groups, 70,041 peptides, and 95,339 precursors.
Main Results:
- Achieved deep proteome identification and quantification in individual mouse retinas, averaging 6,263 ± 86 unique protein groups.
- The generated spectral library surpasses previous methods, including those using data-dependent acquisition (DDA).
- The dataset provides robust quantification crucial for understanding proteomic complexity.
Conclusions:
- The study establishes a valuable resource for myopia research and other retinal or neurological disease investigations.
- The comprehensive mouse retinal-specific spectral library enhances the understanding of retinal proteome complexity.
- This work demonstrates the power of DIA-SWATH-MS for deep proteome profiling in biological samples.
