Literature DB >> 25619111

Comparative reevaluation of FASP and enhanced FASP methods by LC-MS/MS.

Andrew J M Nel1, Shaun Garnett, Jonathan M Blackburn, Nelson C Soares.   

Abstract

Filter-aided sample preparation is a proteomic technique for the preparation and on column proteolysis of proteins. Recently an enhanced FASP protocol was developed that uses deoxycholic acid (DCA) and that reportedly enhances trypsin proteolysis, resulting in increases cytosolic and membrane protein representation. FASP and eFASP were re-evaluated by ultra-high-performance liquid chromatography coupled to a quadrupole mass filter Orbitrap analyzer (Q Exactive). Although there was no difference in trypsin activity, 14,099 and 13,414 peptides, describing 1723 and 1793 protein groups, from Escherichia coli K12 were identified using FASP and eFASP, respectively. Characterization of the physicochemical properties of identified peptides showed no significant differences other than eFASP extracting slightly more basic peptides. At the protein level, both methods extracted essentially the same number of hydrophobic transmembrane helix-containing proteins as well as proteins associated with the cytoplasm or the cytoplasmic and outer membranes. By employing state-of-the-art LC-MS/MS shot gun proteomics, our results indicate that FASP and eFASP showed no significant differences at the protein level. However, because of the slight differences in selectivity at the physicochemical level of peptides, these methods can be seen to be somewhat complementary for analyses of complex peptide mixtures.

Entities:  

Keywords:  Escherichia coli K12; FASP; Q exactive; deoxycholic acid; eFASP; enhanced FASP; filtered-aided sample preparation; physicochemical

Mesh:

Substances:

Year:  2015        PMID: 25619111     DOI: 10.1021/pr501266c

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


  14 in total

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4.  Quantitative Proteomic Analysis of Mass Limited Tissue Samples for Spatially Resolved Tissue Profiling.

Authors:  Paul D Piehowski; Rui Zhao; Ronald J Moore; Geremy Clair; Charles Ansong
Journal:  Methods Mol Biol       Date:  2018

Review 5.  Advances in microscale separations towards nanoproteomics applications.

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Journal:  J Chromatogr A       Date:  2017-07-21       Impact factor: 4.759

6.  Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples.

Authors:  Geremy Clair; Paul D Piehowski; Teodora Nicola; Joseph A Kitzmiller; Eric L Huang; Erika M Zink; Ryan L Sontag; Daniel J Orton; Ronald J Moore; James P Carson; Richard D Smith; Jeffrey A Whitsett; Richard A Corley; Namasivayam Ambalavanan; Charles Ansong
Journal:  Sci Rep       Date:  2016-12-22       Impact factor: 4.379

7.  Design and production of conjugate vaccines against S. Paratyphi A using an O-linked glycosylation system in vivo.

Authors:  Peng Sun; Chao Pan; Ming Zeng; Bo Liu; Haoyu Liang; Dongshu Wang; Xiankai Liu; Bin Wang; Yufei Lyu; Jun Wu; Li Zhu; Hengliang Wang
Journal:  NPJ Vaccines       Date:  2018-02-05       Impact factor: 7.344

8.  A modified FASP protocol for high-throughput preparation of protein samples for mass spectrometry.

Authors:  Jeremy Potriquet; Marut Laohaviroj; Jeffrey M Bethony; Jason Mulvenna
Journal:  PLoS One       Date:  2017-07-27       Impact factor: 3.240

9.  Time-Dependent, HIV-Tat-Induced Perturbation of Human Neurons In Vitro: Towards a Model for the Molecular Pathology of HIV-Associated Neurocognitive Disorders.

Authors:  Kim T Gurwitz; Richard J Burman; Brandon D Murugan; Shaun Garnett; Tariq Ganief; Nelson C Soares; Joseph V Raimondo; Jonathan M Blackburn
Journal:  Front Mol Neurosci       Date:  2017-05-29       Impact factor: 5.639

Review 10.  Global Cell Proteome Profiling, Phospho-signaling and Quantitative Proteomics for Identification of New Biomarkers in Acute Myeloid Leukemia Patients.

Authors:  Elise Aasebø; Rakel B Forthun; Frode Berven; Frode Selheim; Maria Hernandez-Valladares
Journal:  Curr Pharm Biotechnol       Date:  2016       Impact factor: 2.837

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