Literature DB >> 26292657

Phenotype-Guided Natural Products Discovery Using Cytological Profiling.

Jessica L Ochoa1, Walter M Bray1, R Scott Lokey1, Roger G Linington1.   

Abstract

Phenotype-guided natural products discovery is emerging as a useful new discovery tool that addresses challenges in early, unbiased natural product biological annotation. These high-content approaches yield screening results that report directly on the impact of test compounds on cellular processes in target organisms and can be used to predict the modes of action of bioactive constituents from primary screening data. In this study we explored the use of our recently implemented cytological profiling platform for the isolation of compounds with a specific, predefined mode of action, namely, induction of mitotic arrest. Screening of a microbially derived extract library revealed six extracts whose cytological profiles clustered closely with those of known antimitotic agents from the pure compound training set. Subsequent examination of one of these extracts revealed the presence of two separate bioactive constituents, each of which possessed a unique cytological profile. The first, diketopiperazine XR334 (3), recapitulated the observed antimitotic phenotype of the original extract, demonstrating that cytological profiling can be used for the targeted isolation of compounds with specific modes of action. The second, nocapyrone L (6), possessed a cytological profile that clustered with known calcium channel modulators, in line with previous published activities for this compound class, indicating that cytological profiling is a flexible and powerful platform for the de novo characterization of compound modes of action.

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Year:  2015        PMID: 26292657     DOI: 10.1021/acs.jnatprod.5b00455

Source DB:  PubMed          Journal:  J Nat Prod        ISSN: 0163-3864            Impact factor:   4.050


  11 in total

Review 1.  Advances in exploring the therapeutic potential of marine natural products.

Authors:  Xiao Liang; Danmeng Luo; Hendrik Luesch
Journal:  Pharmacol Res       Date:  2019-07-25       Impact factor: 7.658

2.  Macrophage Cytological Profiling and Anti-Inflammatory Drug Discovery.

Authors:  Tannia A Lau; Walter M Bray; R Scott Lokey
Journal:  Assay Drug Dev Technol       Date:  2019-01       Impact factor: 1.738

3.  Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning.

Authors:  Maxime W Lafarge; Juan C Caicedo; Anne E Carpenter; Josien P W Pluim; Shantanu Singh; Mitko Veta
Journal:  Proc Mach Learn Res       Date:  2019-07

4.  Kalkipyrone B, a marine cyanobacterial γ-pyrone possessing cytotoxic and anti-fungal activities.

Authors:  Matthew J Bertin; Ozlem Demirkiran; Gabriel Navarro; Nathan A Moss; John Lee; Gregory M Goldgof; Edgar Vigil; Elizabeth A Winzeler; Fred A Valeriote; William H Gerwick
Journal:  Phytochemistry       Date:  2015-11-26       Impact factor: 4.072

5.  Systematic exploration of cell morphological phenotypes associated with a transcriptomic query.

Authors:  Isar Nassiri; Matthew N McCall
Journal:  Nucleic Acids Res       Date:  2018-11-02       Impact factor: 16.971

Review 6.  Biologically active marine natural products and their molecular targets discovered using a chemical genetics approach.

Authors:  David E Williams; Raymond J Andersen
Journal:  Nat Prod Rep       Date:  2019-11-21       Impact factor: 13.423

7.  Improving natural product research translation: From source to clinical trial.

Authors:  Barbara C Sorkin; Adam J Kuszak; Gregory Bloss; Naomi K Fukagawa; Freddie Ann Hoffman; Mahtab Jafari; Bruce Barrett; Paula N Brown; Frederic D Bushman; Steven J Casper; Floyd H Chilton; Christopher S Coffey; Mario G Ferruzzi; D Craig Hopp; Mairead Kiely; Daniel Lakens; John B MacMillan; David O Meltzer; Marco Pahor; Jeffrey Paul; Kathleen Pritchett-Corning; Sara K Quinney; Barbara Rehermann; Kenneth D R Setchell; Nisha S Sipes; Jacqueline M Stephens; D Lansing Taylor; Hervé Tiriac; Michael A Walters; Dan Xi; Giovanna Zappalá; Guido F Pauli
Journal:  FASEB J       Date:  2019-12-10       Impact factor: 5.834

Review 8.  Machine learning and image-based profiling in drug discovery.

Authors:  Christian Scheeder; Florian Heigwer; Michael Boutros
Journal:  Curr Opin Syst Biol       Date:  2018-08

Review 9.  Marine Pharmacology in 2014-2015: Marine Compounds with Antibacterial, Antidiabetic, Antifungal, Anti-Inflammatory, Antiprotozoal, Antituberculosis, Antiviral, and Anthelmintic Activities; Affecting the Immune and Nervous Systems, and Other Miscellaneous Mechanisms of Action.

Authors:  Alejandro M S Mayer; Aimee J Guerrero; Abimael D Rodríguez; Orazio Taglialatela-Scafati; Fumiaki Nakamura; Nobuhiro Fusetani
Journal:  Mar Drugs       Date:  2019-12-19       Impact factor: 5.118

Review 10.  Image-based profiling for drug discovery: due for a machine-learning upgrade?

Authors:  Srinivas Niranj Chandrasekaran; Hugo Ceulemans; Justin D Boyd; Anne E Carpenter
Journal:  Nat Rev Drug Discov       Date:  2020-12-22       Impact factor: 84.694

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