Literature DB >> 21842468

Peptidomic approaches to study proteolytic activity.

Peter J Lyons1, Lloyd D Fricker.   

Abstract

Peptidomics, the analysis of the peptide content of cells or tissues, can be used to study proteases in several ways. First, nearly all of the peptides detected in cells and tissues are proteolytic fragments of proteins. Analysis of the peptides therefore provides information regarding the proteolytic activities that occurred to generate the observed peptides. The use of quantitative peptidomic approaches allows the comparison of relative peptide levels in two or more different samples, which enables studies examining the consequences of increasing proteolytic activity (by enzyme activation or overexpression) or reducing proteolytic activity (by inhibition, knock down, or knock out). Quantitative peptidomics can also be used to directly test the cleavage specificity of purified proteases. For this, peptides are purified from the tissue or cell line of interest, incubated in the presence of various amounts of protease or in the absence of protease, and then analyzed by the quantitative peptidomics approach. This reveals which peptides are preferred substrates, which are products, and which are not cleaved. Collectively, these studies complement conventional approaches to study proteolytic activity and allow for a more complete understanding of an enzyme's substrate specificity. This unit describes the use of quantitative peptidomics in the analysis of the biological peptidome as well as in the in vitro analysis of peptidase activity.
© 2011 by John Wiley & Sons, Inc.

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Year:  2011        PMID: 21842468      PMCID: PMC3184789          DOI: 10.1002/0471140864.ps1813s65

Source DB:  PubMed          Journal:  Curr Protoc Protein Sci        ISSN: 1934-3655


  17 in total

1.  Controlling deuterium isotope effects in comparative proteomics.

Authors:  Roujian Zhang; Cathy S Sioma; Robert A Thompson; Li Xiong; Fred E Regnier
Journal:  Anal Chem       Date:  2002-08-01       Impact factor: 6.986

Review 2.  Quantification in proteomics through stable isotope coding: a review.

Authors:  Samir Julka; Fred Regnier
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

Review 3.  Intracellullar peptides as putative natural regulators of protein interactions.

Authors:  Emer S Ferro; Stephen Hyslop; Antonio C M Camargo
Journal:  J Neurochem       Date:  2004-11       Impact factor: 5.372

Review 4.  Peptidomics: identification and quantification of endogenous peptides in neuroendocrine tissues.

Authors:  Lloyd D Fricker; Jihyeon Lim; Hui Pan; Fa-Yun Che
Journal:  Mass Spectrom Rev       Date:  2006 Mar-Apr       Impact factor: 10.946

5.  Neuropeptidomic analysis establishes a major role for prohormone convertase-2 in neuropeptide biosynthesis.

Authors:  Xin Zhang; Hui Pan; Bonnie Peng; Donald F Steiner; John E Pintar; Lloyd D Fricker
Journal:  J Neurochem       Date:  2009-12-07       Impact factor: 5.372

6.  Quantitative peptidomics to measure neuropeptide levels in animal models relevant to psychiatric disorders.

Authors:  Julia S Gelman; Jonathan Wardman; Vadiraja B Bhat; Fabio C Gozzo; Lloyd D Fricker
Journal:  Methods Mol Biol       Date:  2012

7.  Quantitative peptidomics of mouse pituitary: comparison of different stable isotopic tags.

Authors:  Fa-Yun Che; Lloyd D Fricker
Journal:  J Mass Spectrom       Date:  2005-02       Impact factor: 1.982

8.  Analysis of intracellular substrates and products of thimet oligopeptidase in human embryonic kidney 293 cells.

Authors:  Denise A Berti; Cain Morano; Lilian C Russo; Leandro M Castro; Fernanda M Cunha; Xin Zhang; Juan Sironi; Clécio F Klitzke; Emer S Ferro; Lloyd D Fricker
Journal:  J Biol Chem       Date:  2009-03-12       Impact factor: 5.157

9.  Global sequencing of proteolytic cleavage sites in apoptosis by specific labeling of protein N termini.

Authors:  Sami Mahrus; Jonathan C Trinidad; David T Barkan; Andrej Sali; Alma L Burlingame; James A Wells
Journal:  Cell       Date:  2008-08-21       Impact factor: 41.582

10.  Multiple isotopic labels for quantitative mass spectrometry.

Authors:  Cain Morano; Xin Zhang; Lloyd D Fricker
Journal:  Anal Chem       Date:  2008-12-01       Impact factor: 6.986

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  6 in total

1.  Proteome-derived peptide libraries to study the substrate specificity profiles of carboxypeptidases.

Authors:  Sebastian Tanco; Julia Lorenzo; Javier Garcia-Pardo; Sven Degroeve; Lennart Martens; Francesc Xavier Aviles; Kris Gevaert; Petra Van Damme
Journal:  Mol Cell Proteomics       Date:  2013-04-25       Impact factor: 5.911

2.  Analysis of peptides secreted from cultured mouse brain tissue.

Authors:  Julia S Gelman; Sayani Dasgupta; Iryna Berezniuk; Lloyd D Fricker
Journal:  Biochim Biophys Acta       Date:  2013-02-10

3.  Limitations of Mass Spectrometry-Based Peptidomic Approaches.

Authors:  Lloyd D Fricker
Journal:  J Am Soc Mass Spectrom       Date:  2015-08-25       Impact factor: 3.109

4.  Substrate specificity of human metallocarboxypeptidase D: Comparison of the two active carboxypeptidase domains.

Authors:  Javier Garcia-Pardo; Sebastian Tanco; Lucía Díaz; Sayani Dasgupta; Juan Fernandez-Recio; Julia Lorenzo; Francesc X Aviles; Lloyd D Fricker
Journal:  PLoS One       Date:  2017-11-13       Impact factor: 3.240

5.  Proteasome inhibitors alter levels of intracellular peptides in HEK293T and SH-SY5Y cells.

Authors:  Sayani Dasgupta; Leandro M Castro; Russell Dulman; Ciyu Yang; Marion Schmidt; Emer S Ferro; Lloyd D Fricker
Journal:  PLoS One       Date:  2014-07-31       Impact factor: 3.240

Review 6.  Proteomics and peptidomics: moving toward precision medicine in urological malignancies.

Authors:  Ashley Di Meo; Maria D Pasic; George M Yousef
Journal:  Oncotarget       Date:  2016-08-09
  6 in total

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