Literature DB >> 26121065

Drug Discovery Goes Three-Dimensional: Goodbye to Flat High-Throughput Screening?

Richard M Eglen1, David H Randle1.   

Abstract

Immortalized cells, generated from two-dimensional cell culture techniques, are widely used in compound screening, lead optimization, and drug candidate selection. However, such cells lack many characteristics of cells in vivo. This could account for the high failure rates of lead candidates in clinical evaluation. New approaches from cell biology, materials science, and bioengineering are increasing the utility of three-dimensional (3D) culture. These approaches have become more compatible with automation and, thus, provide more physiologically relevant cells for high-throughput/high-content screening, notably in oncology drug discovery. Techniques range from simple 3D spheroids, comprising one or more cell types, to complex multitissue organoids cultured in extracellular matrix gels or microfabricated chips. Furthermore, each approach can be applied to stem cells, such as induced pluripotent stem cells, thereby providing additional phenotypic relevance and the exciting potential to enable screening in disease-specific cell types.

Mesh:

Year:  2015        PMID: 26121065     DOI: 10.1089/adt.2015.647

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  24 in total

Review 1.  Human Colon Organoids and Other Laboratory Strategies to Enhance Patient Treatment Selection.

Authors:  Katherine A Johnson; Rebecca A DeStefanis; Philip B Emmerich; Patrick T Grogan; Jeremy D Kratz; Sarbjeet K Makkar; Linda Clipson; Dustin A Deming
Journal:  Curr Treat Options Oncol       Date:  2020-04-23

2.  A process engineering approach to increase organoid yield.

Authors:  Natasha Arora; Jasmin Imran Alsous; Jacob W Guggenheim; Michael Mak; Jorge Munera; James M Wells; Roger D Kamm; H Harry Asada; Stanislav Y Shvartsman; Linda G Griffith
Journal:  Development       Date:  2017-02-07       Impact factor: 6.868

Review 3.  Screening out irrelevant cell-based models of disease.

Authors:  Peter Horvath; Nathalie Aulner; Marc Bickle; Anthony M Davies; Elaine Del Nery; Daniel Ebner; Maria C Montoya; Päivi Östling; Vilja Pietiäinen; Leo S Price; Spencer L Shorte; Gerardo Turcatti; Carina von Schantz; Neil O Carragher
Journal:  Nat Rev Drug Discov       Date:  2016-09-12       Impact factor: 84.694

Review 4.  Automating drug discovery.

Authors:  Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

5.  Multivalent Binding of a Ligand-Coated Particle: Role of Shape, Size, and Ligand Heterogeneity.

Authors:  Matt McKenzie; Sung Min Ha; Aravind Rammohan; Ravi Radhakrishnan; N Ramakrishnan
Journal:  Biophys J       Date:  2018-04-24       Impact factor: 4.033

Review 6.  The impact of microfluidics in high-throughput drug-screening applications.

Authors:  Paola De Stefano; Elena Bianchi; Gabriele Dubini
Journal:  Biomicrofluidics       Date:  2022-05-26       Impact factor: 3.258

7.  Modeling pancreatic cancer with organoids.

Authors:  Lindsey A Baker; Hervé Tiriac; Hans Clevers; David A Tuveson
Journal:  Trends Cancer       Date:  2016-04

8.  Developing a Drug Screening Platform: MALDI-Mass Spectrometry Imaging of Paper-Based Cultures.

Authors:  Fernando Tobias; Julie C McIntosh; Gabriel J LaBonia; Matthew W Boyce; Matthew R Lockett; Amanda B Hummon
Journal:  Anal Chem       Date:  2019-12-06       Impact factor: 6.986

Review 9.  Rethinking drug design in the artificial intelligence era.

Authors:  Petra Schneider; W Patrick Walters; Alleyn T Plowright; Norman Sieroka; Jennifer Listgarten; Robert A Goodnow; Jasmin Fisher; Johanna M Jansen; José S Duca; Thomas S Rush; Matthias Zentgraf; John Edward Hill; Elizabeth Krutoholow; Matthias Kohler; Jeff Blaney; Kimito Funatsu; Chris Luebkemann; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2019-12-04       Impact factor: 84.694

Review 10.  Drug Discovery via Human-Derived Stem Cell Organoids.

Authors:  Fangkun Liu; Jing Huang; Bo Ning; Zhixiong Liu; Shen Chen; Wei Zhao
Journal:  Front Pharmacol       Date:  2016-09-22       Impact factor: 5.810

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