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Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming
Uxue Ulanga1, Matthew Russell2, Stefano Patassini3
1Clinical Proteomics Research Group, Division of Molecular and Clinical Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road Manchester, Manchester, UK.
Scientific Data
|April 27, 2021
Summary
Researchers developed a mouse proteome reference library using SWATH-MS for quantitative proteomic analysis in stem cell research. This library aids in studying major protein expression changes during induced pluripotency.
Area of Science:
- Proteomics
- Stem Cell Biology
- Biotechnology
Background:
- Murine models are crucial for biological and pathological studies.
- Quantitative proteomic analysis, particularly Data Independent Acquisition (DIA) methods like SWATH-MS, is increasingly used for large-scale sample analysis.
- Induced pluripotent stem cells (iPSCs) derived from fibroblasts undergo significant proteomic alterations.
Purpose of the Study:
- To create a comprehensive mouse proteome reference library for quantitative proteomic studies.
- To support research involving induced pluripotency in stem cells.
- To provide a reproducible method for library generation.
Main Methods:
- Development of a reference library using SWATH-MS.
- Generation of mass spectra for proteomic profiling.
- Creation of an extensively documented script for library replication and adaptation.
Main Results:
- The library provides deep coverage of the mouse proteome, including 29,519 proteins (53% of the proteome).
- 7,435 proteins (13%) are supported by a proteotypic peptide within the library.
- A documented script enables replication and adaptation of the library generation process.
Conclusions:
- The generated mouse proteome library is a valuable resource for quantitative proteomic studies, especially in stem cell research.
- The reproducible methodology facilitates data reuse and adaptation for novel applications.
- This resource deepens the understanding of proteomic changes in biological systems like induced pluripotency.

