4.7 Article

High Field Asymmetric Waveform Ion Mobility Spectrometry in Nontargeted Bottom-up Proteomics of Dried Blood Spots

Journal

JOURNAL OF PROTEOME RESEARCH
Volume 17, Issue 6, Pages 1997-2004

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.7b00746

Keywords

dried blood spots; DBS; high field asymmetric waveform ion mobility spectrometry; FAIMS; differential ion mobility; proteomics; endogenous proteins

Funding

  1. University of Birmingham through Norwegian PhD School of Pharmacy
  2. Birmingham Science City Translational Medicine, Experimental Medicine Network of Excellence Project
  3. Advantage West Midlands
  4. EPSRC [EP/L023490/1] Funding Source: UKRI

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Despite the great potential of dried blood spots (DBS) as a source of endogenous proteins for biomarker discovery, the literature relating to nontargeted bottom-up proteomics of DBS is sparse, primarily due to the inherent complexity and very high dynamic range associated with these samples. Here, we present proof-of-concept results in which we have coupled high field asymmetric waveform ion mobility spectrometry (FAIMS) with liquid chromatography tandem mass spectrometry (LC-MS/MS) for nontargeted bottom-up proteomics of DBS with the aim of addressing these challenges. We, and others, have previously demonstrated the benefits of FAIMS more generally in proteomics including improved signal-to-noise and extended proteome coverage, and the aim of the current work was to extend those benefits specifically to DBS. The DBS samples were either extracted by the more traditional manual punch and elute approach or by an automated liquid surface extraction (LESA) approach prior to trypsin digestion. The resulting samples were analyzed by LC-MS/MS and LC-FAIMS-MS/MS analysis. The results show that the total number of proteins identified increased by similar to 50% for the punch and elute samples and similar to 45% for the LESA samples in the LC-FAIMS-MS/MS analysis. For both the punch and elute samples and the LESA samples, similar to 30% of the total proteins identified were observed in both the LC-MS/MS and the LC -FAIMS-MS/MS data sets, illustrating the complementarity of the approaches. Overall, this work demonstrates the benefits of inclusion of FAIMS for nontargeted proteomics of DBS.

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