Literature DB >> 22250702

Quantitative protease cleavage site profiling using tandem-mass-tag labeling and LC-MALDI-TOF/TOF MS/MS analysis.

Thomas Jakoby1, Bart Hj van den Berg, Andreas Tholey.   

Abstract

Knowledge of cleavage site specificity and activity are major prerequisites for understanding protease function. On the basis of a recently presented approach for proteomic identification of cleavage sites (PICS) in proteome-derived peptide libraries, we developed an isobaric labeling quantitative LC-MALDI-TOF/TOF MS/MS approach (Q-PICS) for simultaneous determination of cleavage site specificity and robust relative quantification of proteolytic events. For GluC-protease, 737 cleavage sites were identified in a yeast proteome-derived peptide library; 94.0% showed the typical GluC specificity for peptide bonds at glutamyl and aspartyl residues. The six-plex tandem mass tagging strategy allowed for three simultaneous replicates in a single run, guaranteeing high confidence and robust statistics for quantitative measurements. Using the quantitative capacity of Q-PICS, we performed a comparison of cleavage site specificity of GluC in two different buffer systems. The results support earlier findings describing that apparent difference between the buffer systems are probably caused by the inhibitory effect of bicarbonate on the overall GluC activity and that the preference for Glu-X bonds compared to Asp-X bonds is independent of the buffer system used.

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Year:  2012        PMID: 22250702     DOI: 10.1021/pr201051e

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


  9 in total

1.  Protease cleavage site fingerprinting by label-free in-gel degradomics reveals pH-dependent specificity switch of legumain.

Authors:  Robert Vidmar; Matej Vizovišek; Dušan Turk; Boris Turk; Marko Fonović
Journal:  EMBO J       Date:  2017-07-21       Impact factor: 11.598

2.  Quantitative Multiplex Substrate Profiling of Peptidases by Mass Spectrometry.

Authors:  John D Lapek; Zhenze Jiang; Jacob M Wozniak; Elena Arutyunova; Steven C Wang; M Joanne Lemieux; David J Gonzalez; Anthony J O'Donoghue
Journal:  Mol Cell Proteomics       Date:  2019-01-31       Impact factor: 5.911

3.  Identification of Protease Specificity by Combining Proteome-Derived Peptide Libraries and Quantitative Proteomics.

Authors:  Martin L Biniossek; Melanie Niemer; Ken Maksimchuk; Bettina Mayer; Julian Fuchs; Pitter F Huesgen; Dewey G McCafferty; Boris Turk; Guenther Fritz; Jens Mayer; Georg Haecker; Lukas Mach; Oliver Schilling
Journal:  Mol Cell Proteomics       Date:  2016-04-27       Impact factor: 5.911

4.  The Negative Mode Proteome with Activated Ion Negative Electron Transfer Dissociation (AI-NETD).

Authors:  Nicholas M Riley; Matthew J P Rush; Christopher M Rose; Alicia L Richards; Nicholas W Kwiecien; Derek J Bailey; Alexander S Hebert; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2015-07-20       Impact factor: 5.911

5.  Top-Down Proteomic Characterization of Truncated Proteoforms.

Authors:  Dapeng Chen; Lucia Geis-Asteggiante; Fabio P Gomes; Suzanne Ostrand-Rosenberg; Catherine Fenselau
Journal:  J Proteome Res       Date:  2019-10-03       Impact factor: 4.466

6.  LIPH promotes metastasis by enriching stem-like cells in triple-negative breast cancer.

Authors:  Yixiao Zhang; Xudong Zhu; Xinbo Qiao; Xi Gu; Jinqi Xue; Yanshuo Han; Lisha Sun; Meizi Cui; Caigang Liu
Journal:  J Cell Mol Med       Date:  2020-07-02       Impact factor: 5.310

7.  The Antiviral Effect of Isatis Root Polysaccharide against NADC30-like PRRSV by Transcriptome and Proteome Analysis.

Authors:  Dike Jiang; Ling Zhang; Guangheng Zhu; Pengfei Zhang; Xulong Wu; Xueping Yao; Yan Luo; Zexiao Yang; Meishen Ren; Xinping Wang; Sheng Chen; Yin Wang
Journal:  Int J Mol Sci       Date:  2022-03-28       Impact factor: 5.923

8.  Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.

Authors:  Liyuan Wang; Yawen Zhang; Bo Zhang; Haian Zhong; Yunfeng Lu; Hao Zhang
Journal:  BMC Genomics       Date:  2021-06-12       Impact factor: 3.969

Review 9.  Determinants of Macromolecular Specificity from Proteomics-Derived Peptide Substrate Data.

Authors:  Julian E Fuchs; Oliver Schilling; Klaus R Liedl
Journal:  Curr Protein Pept Sci       Date:  2017       Impact factor: 3.272

  9 in total

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