Literature DB >> 28188524

Hydrophilic Strong Anion Exchange (hSAX) Chromatography Enables Deep Fractionation of Tissue Proteomes.

Benjamin Ruprecht1,2, Dongxue Wang1, Riccardo Zenezini Chiozzi3, Li-Hua Li4, Hannes Hahne5, Bernhard Kuster6,7,8,9,10.   

Abstract

The bottom-up proteomic analysis of cell line and tissue samples to a depth > 10,000 proteins still represents a considerable challenge because of the sheer number of peptides generated by proteolytic digestions and the high dynamic range of protein expression. As a result, comprehensive protein coverage requires multidimensional peptide separation. Recently, off-line hydrophilic strong cation exchange (hSAX) chromatography has proven its merits for high resolution separation of peptides due to its high degree of orthogonality to reversed-phase liquid chromatography. Here we describe the use of hSAX for the deep analysis of tissue proteomes. The protocol includes optimized sample preparation steps (lysis with the aid of mechanical disruption, one-step disulfide bridge reduction and alkylation), setup and operation of hSAX columns and gradients, desalting of hSAX fractions prior to LC-MS/MS analysis, and suggestions for the choice of data acquisition parameters and data analysis using MaxQuant. Application of the protocol to the fractionation of 300 μg human brain tissue digest led to the identification of more than 100,000 unique peptide sequences representing over 10,195 proteins and 9,500 genes in 3 days of measurement time on a Q Exactive Plus mass spectrometer.

Entities:  

Keywords:  Chromatography; Deep fractionation; Proteomics; Strong anion exchange; Tissue proteomics

Mesh:

Substances:

Year:  2017        PMID: 28188524     DOI: 10.1007/978-1-4939-6747-6_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

1.  Peptide Level Turnover Measurements Enable the Study of Proteoform Dynamics.

Authors:  Jana Zecha; Chen Meng; Daniel Paul Zolg; Patroklos Samaras; Mathias Wilhelm; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2018-02-02       Impact factor: 5.911

2.  Meltome atlas-thermal proteome stability across the tree of life.

Authors:  Anna Jarzab; Nils Kurzawa; Thomas Hopf; Matthias Moerch; Jana Zecha; Niels Leijten; Yangyang Bian; Eva Musiol; Melanie Maschberger; Gabriele Stoehr; Isabelle Becher; Charlotte Daly; Patroklos Samaras; Julia Mergner; Britta Spanier; Angel Angelov; Thilo Werner; Marcus Bantscheff; Mathias Wilhelm; Martin Klingenspor; Simone Lemeer; Wolfgang Liebl; Hannes Hahne; Mikhail M Savitski; Bernhard Kuster
Journal:  Nat Methods       Date:  2020-04-13       Impact factor: 28.547

3.  Mining the Human Tissue Proteome for Protein Citrullination.

Authors:  Chien-Yun Lee; Dongxue Wang; Mathias Wilhelm; Daniel P Zolg; Tobias Schmidt; Karsten Schnatbaum; Ulf Reimer; Fredrik Pontén; Mathias Uhlén; Hannes Hahne; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2018-04-02       Impact factor: 5.911

4.  The gut microbiota promotes hepatic fatty acid desaturation and elongation in mice.

Authors:  Alida Kindt; Gerhard Liebisch; Thomas Clavel; Dirk Haller; Gabriele Hörmannsperger; Hongsup Yoon; Daniela Kolmeder; Alexander Sigruener; Sabrina Krautbauer; Claudine Seeliger; Alexandra Ganzha; Sabine Schweizer; Rosalie Morisset; Till Strowig; Hannelore Daniel; Dominic Helm; Bernhard Küster; Jan Krumsiek; Josef Ecker
Journal:  Nat Commun       Date:  2018-09-14       Impact factor: 14.919

5.  A deep proteome and transcriptome abundance atlas of 29 healthy human tissues.

Authors:  Dongxue Wang; Basak Eraslan; Thomas Wieland; Björn Hallström; Thomas Hopf; Daniel Paul Zolg; Jana Zecha; Anna Asplund; Li-Hua Li; Chen Meng; Martin Frejno; Tobias Schmidt; Karsten Schnatbaum; Mathias Wilhelm; Frederik Ponten; Mathias Uhlen; Julien Gagneur; Hannes Hahne; Bernhard Kuster
Journal:  Mol Syst Biol       Date:  2019-02-18       Impact factor: 11.429

6.  Loss of UCP1 function augments recruitment of futile lipid cycling for thermogenesis in murine brown fat.

Authors:  Josef Oeckl; Petra Janovska; Katerina Adamcova; Kristina Bardova; Sarah Brunner; Sebastian Dieckmann; Josef Ecker; Tobias Fromme; Jiri Funda; Thomas Gantert; Piero Giansanti; Maria Soledad Hidrobo; Ondrej Kuda; Bernhard Kuster; Yongguo Li; Radek Pohl; Sabine Schmitt; Sabine Schweizer; Hans Zischka; Petr Zouhar; Jan Kopecky; Martin Klingenspor
Journal:  Mol Metab       Date:  2022-04-22       Impact factor: 8.568

  6 in total

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