Literature DB >> 29707944

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

Cecilie Rosting1, Jinglei Yu2, Helen J Cooper2.   

Abstract

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 ∼50% for the punch and elute samples and ∼45% for the LESA samples in the LC-FAIMS-MS/MS analysis. For both the punch and elute samples and the LESA samples, ∼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.

Entities:  

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

Mesh:

Substances:

Year:  2018        PMID: 29707944     DOI: 10.1021/acs.jproteome.7b00746

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  5 in total

1.  Data-Independent Acquisition Mass Spectrometry-Based Deep Proteome Analysis for Hydrophobic Proteins from Dried Blood Spots Enriched by Sodium Carbonate Precipitation.

Authors:  Daisuke Nakajima; Osamu Ohara; Yusuke Kawashima
Journal:  Methods Mol Biol       Date:  2022

2.  Improved Sensitivity of Ultralow Flow LC-MS-Based Proteomic Profiling of Limited Samples Using Monolithic Capillary Columns and FAIMS Technology.

Authors:  Michal Greguš; James C Kostas; Somak Ray; Susan E Abbatiello; Alexander R Ivanov
Journal:  Anal Chem       Date:  2020-10-15       Impact factor: 6.986

3.  Alkali Metal Cationization of Tumor-associated Antigen Peptides for Improved Dissociation and Measurement by Differential Ion Mobility-Mass Spectrometry.

Authors:  James E Keating; Chris Chung; Shengjie Chai; Jans F Prins; Benjamin G Vincent; Sally A Hunsucker; Paul M Armistead; Gary L Glish
Journal:  J Proteome Res       Date:  2020-07-20       Impact factor: 5.370

4.  Non-Lethal Blood Sampling of Fish in the lab and Field With Methods for Dried Blood Plasma Spot Omic Analyses.

Authors:  S Pollard; J C Anderson; F Bah; M Mateus; M Sidhu; Dbd Simmons
Journal:  Front Genet       Date:  2022-03-24       Impact factor: 4.599

Review 5.  In situ mass spectrometry analysis of intact proteins and protein complexes from biological substrates.

Authors:  Oliver J Hale; Helen J Cooper
Journal:  Biochem Soc Trans       Date:  2020-02-28       Impact factor: 5.407

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.