Literature DB >> 18294838

Application of activity-based probes to the study of enzymes involved in cancer progression.

Margot G Paulick1, Matthew Bogyo.   

Abstract

Many tumor cells have elevated levels of hydrolytic and proteolytic enzymes, presumably to aid in key processes such as angiogenesis, cancer cell invasion, and metastasis. Functional roles of enzymes in cancer progression are difficult to study using traditional genomic and proteomic methods because the activities of these enzymes are often regulated by post-translational mechanisms. Thus, methods that allow for the direct monitoring of enzyme activity in a physiologically relevant environment are required to better understand the roles of specific players in the complex process of tumorigenesis. This review highlights advances in the field of activity-based proteomics, which uses small molecules known as activity-based probes (ABPs) that covalently bind to the catalytic site of target enzymes. We discuss the application of ABPs to cancer biology, especially to the discovery of tumor biomarkers, the screening of enzyme inhibitors, and the imaging of enzymes implicated in cancer.

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Year:  2008        PMID: 18294838      PMCID: PMC2474457          DOI: 10.1016/j.gde.2007.12.001

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  49 in total

1.  Profiling enzyme activities in vivo using click chemistry methods.

Authors:  Anna E Speers; Benjamin F Cravatt
Journal:  Chem Biol       Date:  2004-04

2.  Activity-based probes for the proteomic profiling of metalloproteases.

Authors:  Alan Saghatelian; Nadim Jessani; Arul Joseph; Mark Humphrey; Benjamin F Cravatt
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-25       Impact factor: 11.205

3.  Target discovery in small-molecule cell-based screens by in situ proteome reactivity profiling.

Authors:  Michael J Evans; Alan Saghatelian; Erik J Sorensen; Benjamin F Cravatt
Journal:  Nat Biotechnol       Date:  2005-10-02       Impact factor: 54.908

4.  Proteomic profiling of metalloprotease activities with cocktails of active-site probes.

Authors:  Stephan A Sieber; Sherry Niessen; Heather S Hoover; Benjamin F Cravatt
Journal:  Nat Chem Biol       Date:  2006-03-26       Impact factor: 15.040

5.  Dynamic imaging of protease activity with fluorescently quenched activity-based probes.

Authors:  Galia Blum; Stefanie R Mullins; Kinneret Keren; Marko Fonovic; Christopher Jedeszko; Mark J Rice; Bonnie F Sloane; Matthew Bogyo
Journal:  Nat Chem Biol       Date:  2005-08-14       Impact factor: 15.040

Review 6.  Histone deacetylase inhibitors and the promise of epigenetic (and more) treatments for cancer.

Authors:  Saverio Minucci; Pier Giuseppe Pelicci
Journal:  Nat Rev Cancer       Date:  2006-01       Impact factor: 60.716

Review 7.  Matrix metalloproteinases and tumor metastasis.

Authors:  Elena I Deryugina; James P Quigley
Journal:  Cancer Metastasis Rev       Date:  2006-03       Impact factor: 9.264

8.  Tumor cell-derived and macrophage-derived cathepsin B promotes progression and lung metastasis of mammary cancer.

Authors:  Olga Vasiljeva; Anna Papazoglou; Achim Krüger; Harald Brodoefel; Matvey Korovin; Jan Deussing; Nicole Augustin; Boye S Nielsen; Kasper Almholt; Matthew Bogyo; Christoph Peters; Thomas Reinheckel
Journal:  Cancer Res       Date:  2006-05-15       Impact factor: 12.701

Review 9.  Functional imaging of tumor proteolysis.

Authors:  Bonnie F Sloane; Mansoureh Sameni; Izabela Podgorski; Dora Cavallo-Medved; Kamiar Moin
Journal:  Annu Rev Pharmacol Toxicol       Date:  2006       Impact factor: 13.820

10.  Activity profiling of deubiquitinating enzymes in cervical carcinoma biopsies and cell lines.

Authors:  Ulrika Rolén; Vera Kobzeva; Natalja Gasparjan; Huib Ovaa; Gösta Winberg; Fjodor Kisseljov; Maria G Masucci
Journal:  Mol Carcinog       Date:  2006-04       Impact factor: 4.784

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  29 in total

1.  Phosphatidylinositol 3,4,5-trisphosphate activity probes for the labeling and proteomic characterization of protein binding partners.

Authors:  Meng M Rowland; Heidi E Bostic; Denghuang Gong; Anna E Speers; Nathan Lucas; Wonhwa Cho; Benjamin F Cravatt; Michael D Best
Journal:  Biochemistry       Date:  2011-11-30       Impact factor: 3.162

Review 2.  Integration of proteomics into systems biology of cancer.

Authors:  S Hanash; M Schliekelman; Q Zhang; A Taguchi
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-03-08

Review 3.  Protease signalling: the cutting edge.

Authors:  Boris Turk; Dušan Turk; Vito Turk
Journal:  EMBO J       Date:  2012-02-24       Impact factor: 11.598

4.  Abundance- and Activity-Based Proteomics in Platelet Biology.

Authors:  Stephen P Holly; Xian Chen; Leslie V Parise
Journal:  Curr Proteomics       Date:  2011-10       Impact factor: 0.837

Review 5.  Cathepsin L targeting in cancer treatment.

Authors:  Dhivya R Sudhan; Dietmar W Siemann
Journal:  Pharmacol Ther       Date:  2015-08-20       Impact factor: 12.310

6.  Chemoproteomic discovery of AADACL1 as a regulator of human platelet activation.

Authors:  Stephen P Holly; Jae Won Chang; Weiwei Li; Sherry Niessen; Ryan M Phillips; Raymond Piatt; Justin L Black; Matthew C Smith; Yacine Boulaftali; Andrew S Weyrich; Wolfgang Bergmeier; Benjamin F Cravatt; Leslie V Parise
Journal:  Chem Biol       Date:  2013-08-29

Review 7.  Cysteine cathepsins: their role in tumor progression and recent trends in the development of imaging probes.

Authors:  Reik Löser; Jens Pietzsch
Journal:  Front Chem       Date:  2015-06-23       Impact factor: 5.221

8.  Finding enzymes that are actively involved in cancer.

Authors:  Matthew Bogyo
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-01       Impact factor: 11.205

9.  PROFESS: a PROtein function, evolution, structure and sequence database.

Authors:  Thomas Triplet; Matthew D Shortridge; Mark A Griep; Jaime L Stark; Robert Powers; Peter Revesz
Journal:  Database (Oxford)       Date:  2010-07-06       Impact factor: 3.451

Review 10.  Taking the plunge: integrating structural, enzymatic and computational insights into a unified model for membrane-immersed rhomboid proteolysis.

Authors:  Sinisa Urban
Journal:  Biochem J       Date:  2010-01-15       Impact factor: 3.857

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