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pmid:39389962
Deep Spectral Library of Mice Retina for Myopia Research: Proteomics Dataset generated by SWATH and DIA-NN.
Ying Hon Sze · Dennis Yan Yin Tse · Bing Zuo · King Kit Li · Qian Zhao · Xiaoyan Jiang · Toshihide Kurihara · Kazuo Tsubota · Thomas Cheun Lam
Scientific data · 2024 doi:10.1038/s41597-024-03958-x
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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Recent advancements have introduced a library-independent approach for data-independent acquisition (DIA) analyses. This study demonstrates deep proteome identification and quantification in individual mice retinas during myopia development, with an average of 6,263 ± 86 unique protein groups. We anticipate that the use of a predicted retinal-specific spectral library combined with the robust quantification achieved within this dataset will contribute to a better understanding of the proteome complexity. Furthermore, a comprehensive mice retinal-specific spectral library was generated, encompassing a total identification of 9,401 protein groups, 70,041 peptides, 95,339 precursors, and 761,868 transitions acquired using SWATH-MS acquisition on a ZenoTOF 7600 mass spectrometer. This dataset surpasses the spectral library generated through high-pH reversed-phase fractionation by data-dependent acquisition (DDA). The data is available via ProteomeXchange with the identifier PXD046983. 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