MassIVE MSV000093759

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Evaluation of data-independent acquisition workflows for deep proteome coverage of EPS-urine

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Description

Here, we investigated the performance of DIA-MS on a cohort of urines collected from prostate cancer patients against DDA-MS. The performance of several commonly used DIA-MS analysis approaches were examined with our cohort-specific spectral libraries, library-free and a pan-human library. An enhanced prostate cancer urine spectral library was generated for improved proteomic coverage. [doi:10.25345/C5DF6KD88] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: mass spectrometry ; data-independent acquisition ; data-dependent acquisition ; prostate cancer ; spectral library ; urine

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Principal Investigators:
(in alphabetical order) 		Dr. Thomas Kislinger, Princess Margaret Cancer Centre, Canada
Submitting User: TKislinger
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