Literature DB >> 32094923

A drug discovery platform to identify compounds that inhibit EGFR triple mutants.

Punit Saraon1, Jamie Snider1, Yannis Kalaidzidis2, Leanne E Wybenga-Groot3, Konstantin Weiss1, Ankit Rai4, Nikolina Radulovich5, Luka Drecun1,6, Nika Vučković1, Adriana Vučetić1, Victoria Wong1, Brigitte Thériault7, Nhu-An Pham5, Jin H Park8,9, Alessandro Datti10,11, Jenny Wang10, Shivanthy Pathmanathan1,6, Farzaneh Aboualizadeh1, Anna Lyakisheva1, Zhong Yao1, Yuhui Wang5, Babu Joseph7, Ahmed Aman7, Michael F Moran12,6, Michael Prakesch7, Gennady Poda7,13, Richard Marcellus7, David Uehling7, Miroslav Samaržija14, Marko Jakopović14, Ming-Sound Tsao5,15,16, Frances A Shepherd17,18, Adrian Sacher5, Natasha Leighl5, Anna Akhmanova4, Rima Al-Awar7,19, Marino Zerial2, Igor Stagljar20,21,22,23.   

Abstract

Receptor tyrosine kinases (RTKs) are transmembrane receptors of great clinical interest due to their role in disease. Historically, therapeutics targeting RTKs have been identified using in vitro kinase assays. Due to frequent development of drug resistance, however, there is a need to identify more diverse compounds that inhibit mutated but not wild-type RTKs. Here, we describe MaMTH-DS (mammalian membrane two-hybrid drug screening), a live-cell platform for high-throughput identification of small molecules targeting functional protein-protein interactions of RTKs. We applied MaMTH-DS to an oncogenic epidermal growth factor receptor (EGFR) mutant resistant to the latest generation of clinically approved tyrosine kinase inhibitors (TKIs). We identified four mutant-specific compounds, including two that would not have been detected by conventional in vitro kinase assays. One of these targets mutant EGFR via a new mechanism of action, distinct from classical TKI inhibition. Our results demonstrate how MaMTH-DS is a powerful complement to traditional drug screening approaches.

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Year:  2020        PMID: 32094923      PMCID: PMC8123931          DOI: 10.1038/s41589-020-0484-2

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  30 in total

Review 1.  Current in vitro kinase assay technologies: the quest for a universal format.

Authors:  Yong Jia; Christopher M Quinn; Silvia Kwak; Robert V Talanian
Journal:  Curr Drug Discov Technol       Date:  2008-03

2.  The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells.

Authors:  Julia Petschnigg; Bella Groisman; Max Kotlyar; Mikko Taipale; Yong Zheng; Christoph F Kurat; Azin Sayad; J Rafael Sierra; Mojca Mattiazzi Usaj; Jamie Snider; Alex Nachman; Irina Krykbaeva; Ming-Sound Tsao; Jason Moffat; Tony Pawson; Susan Lindquist; Igor Jurisica; Igor Stagljar
Journal:  Nat Methods       Date:  2014-03-23       Impact factor: 28.547

3.  Macrophage scavenger receptor confers an adherent phenotype to cells in culture.

Authors:  A K Robbins; R A Horlick
Journal:  Biotechniques       Date:  1998-08       Impact factor: 1.993

4.  A Global Analysis of the Receptor Tyrosine Kinase-Protein Phosphatase Interactome.

Authors:  Zhong Yao; Katelyn Darowski; Nicole St-Denis; Victoria Wong; Fabian Offensperger; Annabel Villedieu; Shahreen Amin; Ramy Malty; Hiroyuki Aoki; Hongbo Guo; Yang Xu; Caterina Iorio; Max Kotlyar; Andrew Emili; Igor Jurisica; Benjamin G Neel; Mohan Babu; Anne-Claude Gingras; Igor Stagljar
Journal:  Mol Cell       Date:  2017-01-05       Impact factor: 17.970

5.  A genetic system based on split-ubiquitin for the analysis of interactions between membrane proteins in vivo.

Authors:  I Stagljar; C Korostensky; N Johnsson; S te Heesen
Journal:  Proc Natl Acad Sci U S A       Date:  1998-04-28       Impact factor: 11.205

Review 6.  Complexity of receptor tyrosine kinase signal processing.

Authors:  Natalia Volinsky; Boris N Kholodenko
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-08-01       Impact factor: 10.005

Review 7.  Cell signaling by receptor tyrosine kinases.

Authors:  Mark A Lemmon; Joseph Schlessinger
Journal:  Cell       Date:  2010-06-25       Impact factor: 41.582

8.  Mapping the functional yeast ABC transporter interactome.

Authors:  Jamie Snider; Asad Hanif; Mid Eum Lee; Ke Jin; Analyn R Yu; Chris Graham; Matthew Chuk; Dunja Damjanovic; Marta Wierzbicka; Priscilla Tang; Dina Balderes; Victoria Wong; Matthew Jessulat; Katelyn D Darowski; Bryan-Joseph San Luis; Igor Shevelev; Stephen L Sturley; Charles Boone; Jack F Greenblatt; Zhaolei Zhang; Christian M Paumi; Mohan Babu; Hay-Oak Park; Susan Michaelis; Igor Stagljar
Journal:  Nat Chem Biol       Date:  2013-07-07       Impact factor: 15.040

9.  Systematic protein-protein interaction mapping for clinically relevant human GPCRs.

Authors:  Kate Sokolina; Saranya Kittanakom; Jamie Snider; Max Kotlyar; Pascal Maurice; Jorge Gandía; Abla Benleulmi-Chaachoua; Kenjiro Tadagaki; Atsuro Oishi; Victoria Wong; Ramy H Malty; Viktor Deineko; Hiroyuki Aoki; Shahreen Amin; Zhong Yao; Xavier Morató; David Otasek; Hiroyuki Kobayashi; Javier Menendez; Daniel Auerbach; Stephane Angers; Natasa Pržulj; Michel Bouvier; Mohan Babu; Francisco Ciruela; Ralf Jockers; Igor Jurisica; Igor Stagljar
Journal:  Mol Syst Biol       Date:  2017-03-15       Impact factor: 11.429

10.  Systematic Identification of Oncogenic EGFR Interaction Partners.

Authors:  Julia Petschnigg; Max Kotlyar; Louise Blair; Igor Jurisica; Igor Stagljar; Robin Ketteler
Journal:  J Mol Biol       Date:  2016-12-09       Impact factor: 5.469

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  6 in total

1.  DeepH-DTA: Deep Learning for Predicting Drug-Target Interactions: A Case Study of COVID-19 Drug Repurposing.

Authors:  Mohamed Abdel-Basset; Hossam Hawash; Mohamed Elhoseny; Ripon K Chakrabortty; Michael Ryan
Journal:  IEEE Access       Date:  2020-09-15       Impact factor: 3.367

Review 2.  Tackling Drug Resistance in EGFR Exon 20 Insertion Mutant Lung Cancer.

Authors:  Laura Pacini; Andrew D Jenks; Simon Vyse; Christopher P Wilding; Amani Arthur; Paul H Huang
Journal:  Pharmgenomics Pers Med       Date:  2021-03-09

3.  CFTR interactome mapping using the mammalian membrane two-hybrid high-throughput screening system.

Authors:  Sang Hyun Lim; Jamie Snider; Liron Birimberg-Schwartz; Wan Ip; Joana C Serralha; Hugo M Botelho; Miquéias Lopes-Pacheco; Madalena C Pinto; Mohamed Taha Moutaoufik; Mara Zilocchi; Onofrio Laselva; Mohsen Esmaeili; Max Kotlyar; Anna Lyakisheva; Priscilla Tang; Lucía López Vázquez; Indira Akula; Farzaneh Aboualizadeh; Victoria Wong; Ingrid Grozavu; Teuta Opacak-Bernardi; Zhong Yao; Meg Mendoza; Mohan Babu; Igor Jurisica; Tanja Gonska; Christine E Bear; Margarida D Amaral; Igor Stagljar
Journal:  Mol Syst Biol       Date:  2022-02       Impact factor: 11.429

4.  Prognostic value of receptor tyrosine kinases in malignant melanoma patients: A systematic review and meta-analysis of immunohistochemistry.

Authors:  Xuan Lei; Yiming Zhang; Lianghao Mao; Pan Jiang; Yumeng Huang; Jia Gu; Ningzheng Tai
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

5.  Structure-guided discovery of a luminescent theranostic toolkit for living cancer cells and the imaging behavior effect.

Authors:  Chun Wu; Ke-Jia Wu; Jin-Biao Liu; Wanhe Wang; Chung-Hang Leung; Dik-Lung Ma
Journal:  Chem Sci       Date:  2020-09-24       Impact factor: 9.825

Review 6.  Receptor tyrosine kinases and cancer: oncogenic mechanisms and therapeutic approaches.

Authors:  Punit Saraon; Shivanthy Pathmanathan; Jamie Snider; Anna Lyakisheva; Victoria Wong; Igor Stagljar
Journal:  Oncogene       Date:  2021-06-02       Impact factor: 9.867

  6 in total

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