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Dive into the research topics where Valerie Reader is active.

Publication


Featured researches published by Valerie Reader.


Nature Biotechnology | 2007

Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors

Marcus Bantscheff; Dirk Eberhard; Yann Abraham; Sonja Bastuck; Markus Boesche; Scott Hobson; Toby Mathieson; Jessica Perrin; Manfred Raida; Christina Rau; Valerie Reader; Gavain Sweetman; Andreas Bauer; Tewis Bouwmeester; Carsten Hopf; Ulrich Kruse; Gitte Neubauer; Nigel Ramsden; Jens Rick; Bernhard Kuster; Gerard Drewes

We describe a chemical proteomics approach to profile the interaction of small molecules with hundreds of endogenously expressed protein kinases and purine-binding proteins. This subproteome is captured by immobilized nonselective kinase inhibitors (kinobeads), and the bound proteins are quantified in parallel by mass spectrometry using isobaric tags for relative and absolute quantification (iTRAQ). By measuring the competition with the affinity matrix, we assess the binding of drugs to their targets in cell lysates and in cells. By mapping drug-induced changes in the phosphorylation state of the captured proteome, we also analyze signaling pathways downstream of target kinases. Quantitative profiling of the drugs imatinib (Gleevec), dasatinib (Sprycel) and bosutinib in K562 cells confirms known targets including ABL and SRC family kinases and identifies the receptor tyrosine kinase DDR1 and the oxidoreductase NQO2 as novel targets of imatinib. The data suggest that our approach is a valuable tool for drug discovery.


Nature Biotechnology | 2011

Chemoproteomics profiling of HDAC inhibitors reveals selective targeting of HDAC complexes

Marcus Bantscheff; Carsten Hopf; Mikhail M. Savitski; Antje Dittmann; Paola Grandi; Anne-Marie Michon; Judith Schlegl; Yann Abraham; Isabelle Becher; Giovanna Bergamini; Markus Boesche; Manja Delling; Birgit Dümpelfeld; Dirk Eberhard; Carola Huthmacher; Toby Mathieson; Daniel Poeckel; Valerie Reader; Katja Strunk; Gavain Sweetman; Ulrich Kruse; Gitte Neubauer; Nigel Ramsden; Gerard Drewes

The development of selective histone deacetylase (HDAC) inhibitors with anti-cancer and anti-inflammatory properties remains challenging in large part owing to the difficulty of probing the interaction of small molecules with megadalton protein complexes. A combination of affinity capture and quantitative mass spectrometry revealed the selectivity with which 16 HDAC inhibitors target multiple HDAC complexes scaffolded by ELM-SANT domain subunits, including a novel mitotic deacetylase complex (MiDAC). Inhibitors clustered according to their target profiles with stronger binding of aminobenzamides to the HDAC NCoR complex than to the HDAC Sin3 complex. We identified several non-HDAC targets for hydroxamate inhibitors. HDAC inhibitors with distinct profiles have correspondingly different effects on downstream targets. We also identified the anti-inflammatory drug bufexamac as a class IIb (HDAC6, HDAC10) HDAC inhibitor. Our approach enables the discovery of novel targets and inhibitors and suggests that the selectivity of HDAC inhibitors should be evaluated in the context of HDAC complexes and not purified catalytic subunits.


ACS Chemical Biology | 2016

Interrogating the Druggability of the 2-Oxoglutarate-Dependent Dioxygenase Target Class by Chemical Proteomics

Gerard Joberty; Markus Boesche; Jack A. Brown; Dirk Eberhard; Neil Stuart Garton; Philip G. Humphreys; Toby Mathieson; Marcel Muelbaier; Nigel Ramsden; Valerie Reader; Anne Rueger; Robert J. Sheppard; Susan Marie Westaway; Marcus Bantscheff; Kevin Lee; David Wilson; Rab K. Prinjha; Gerard Drewes

The 2-oxoglutarate-dependent dioxygenase target class comprises around 60 enzymes including several subfamilies with relevance to human disease, such as the prolyl hydroxylases and the Jumonji-type lysine demethylases. Current drug discovery approaches are largely based on small molecule inhibitors targeting the iron/2-oxoglutarate cofactor binding site. We have devised a chemoproteomics approach based on a combination of unselective active-site ligands tethered to beads, enabling affinity capturing of around 40 different dioxygenase enzymes from human cells. Mass-spectrometry-based quantification of bead-bound enzymes using a free-ligand competition-binding format enabled the comprehensive determination of affinities for the cosubstrate 2-oxoglutarate and for oncometabolites such as 2-hydroxyglutarate. We also profiled a set of representative drug-like inhibitor compounds. The results indicate that intracellular competition by endogenous cofactors and high active site similarity present substantial challenges for drug discovery for this target class.


Archive | 2006

Process for the identification of novel enzyme interacting compounds

Gerard Drewes; Bernhard Kuester; Ulrich Kruse; Carsten Hopf; Dirk Eberhard; Marcus Bantscheff; Valerie Reader; Manfred Raida; David Middlemiss


Archive | 2007

METHODS FOR THE IDENTIFICATION OF LRRK2 INTERACTING MOLECULES AND FOR THE PURIFICATION OF LRRK2

Gerard Drewes; Carsten Hopf; Valerie Reader


Archive | 2009

METHODS FOR THE IDENTIFICATION OF PARP INTERACTING MOLECULES AND FOR PURIFICATION OF PARP PROTEINS

Gerard Drewes; Valerie Reader


Archive | 2007

Methods for the identification of LRRK2 interacting molecules

Gerard Drewes; Carsten Hopf; Valerie Reader


Archive | 2007

Verfahren zur identifizierung von lrrk2 interagierenden molekülen und zur reinigung von lrrk2 A method for the identification of LRRK2 interacting molecules and for the purification of LRRK2

Gerard Drewes; Carsten Hopf; Valerie Reader


Archive | 2007

Rapamycin derivatives for treating neuroblastoma

Gerard Drewes; Carsten Hopf; Valerie Reader


Archive | 2006

Verfahren zur identifizierung neuer, mit enzymen wechselwirkender verbindungen

Gerard Drewes; Bernhard Kuester; Ulrich Kruse; Carsten Hopf; Dirk Eberhard; Marcus Bantscheff; Valerie Reader; David Middlemiss; Manfred Raida

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Manfred Raida

National University of Singapore

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Gitte Neubauer

European Bioinformatics Institute

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