Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming

Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data I...

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Veröffentlicht in:Scientific data 2021-04, Vol.8 (1), p.118-118, Article 118
Hauptverfasser: Ulanga, Uxue, Russell, Matthew, Patassini, Stefano, Brazzatti, Julie, Graham, Ciaren, Whetton, Anthony D., Graham, Robert L. J.
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Sprache:eng
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Zusammenfassung:Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data Independent Acquisition methods. One such technique is SWATH-MS, which in the main requires prior acquisition of mass spectra to generate an assay reference library. In stem cell research, it has been shown pluripotency can be induced starting with a fibroblast population. In so doing major changes in expressed proteins is inevitable. Here we have created a reference library to underpin such studies. This is inclusive of an extensively documented script to enable replication of library generation from the raw data. The documented script facilitates reuse of data and adaptation of the library to novel applications. The resulting library provides deep coverage of the mouse proteome. The library covers 29519 proteins (53% of the proteome) of which 7435 (13%) are supported by a proteotypic peptide. Measurement(s) database type spectral library • protein expression data Technology Type(s) liquid chromatography-electrospray ionisation time-of-flight mass spectrometry • SWATH MS protein profiling assay Factor Type(s) treatment • cell development stage Sample Characteristic - Organism Mus musculus Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14135576
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-021-00896-w