药物研发中无标记细胞表型分析的故障排除与解卷积

Troubleshooting and deconvoluting label-free cell phenotypic assays in drug discovery.

作者信息

Fang Ye

机构信息

Biochemical Technologies, Science and Technology Division, Corning Incorporated, Corning, NY 14831, USA.

出版信息

J Pharmacol Toxicol Methods. 2013 Mar-Apr;67(2):69-81. doi: 10.1016/j.vascn.2013.01.004. Epub 2013 Jan 20.

Abstract

INTRODUCTION

Central to drug discovery and development is to comprehend the target(s), potency, efficacy and safety of drug molecules using pharmacological assays. Owing to their ability to provide a holistic view of drug actions in native cells, label-free biosensor-enabled cell phenotypic assays have been emerging as new generation phenotypic assays for drug discovery. Despite the benefits associated with wide pathway coverage, high sensitivity, high information content, non-invasiveness and real-time kinetics, label-free cell phenotypic assays are often viewed to be a blackbox in the era of target-centric drug discovery.

METHODS

This article first reviews the biochemical and biological complexity of drug-target interactions, and then discusses the key characteristics of label-free cell phenotypic assays and presents a five-step strategy to troubleshooting and deconvoluting the label-free cell phenotypic profiles of drugs.

RESULTS

Drug-target interactions are intrinsically complicated. Label-free cell phenotypic signatures of drugs mirror the innate complexity of drug-target interactions, and can be effectively deconvoluted using the five-step strategy.

DISCUSSION

The past decades have witnessed dramatic expansion of pharmacological assays ranging from molecular to phenotypic assays, which is coincident with the realization of the innate complexity of drug-target interactions. The clinical features of a drug are defined by how it operates at the system level and by its distinct polypharmacology, ontarget, phenotypic and network pharmacology. Approaches to examine the biochemical, cellular and molecular mechanisms of action of drugs are essential to increase the efficiency of drug discovery and development. Label-free cell phenotypic assays and the troubleshooting and deconvoluting approach presented here may hold great promise in drug discovery and development.

摘要

引言

药物发现与开发的核心是通过药理学检测来理解药物分子的靶点、效力、疗效和安全性。基于无标记生物传感器的细胞表型检测能够在天然细胞中全面呈现药物作用,因此已成为新一代药物发现的表型检测方法。尽管无标记细胞表型检测具有广泛的通路覆盖、高灵敏度、高信息含量、非侵入性和实时动力学等优点,但在以靶点为中心的药物发现时代,它常被视为一个黑箱。

方法

本文首先回顾了药物 - 靶点相互作用的生化和生物学复杂性,然后讨论了无标记细胞表型检测的关键特征,并提出了一个五步策略来解决药物无标记细胞表型谱的故障并进行解卷积分析。

结果

药物 - 靶点相互作用本质上很复杂。药物的无标记细胞表型特征反映了药物 - 靶点相互作用的固有复杂性,并且可以使用五步策略有效地进行解卷积分析。

讨论

在过去几十年中,药理学检测从分子检测到表型检测都有了显著扩展,这与认识到药物 - 靶点相互作用的固有复杂性是一致的。药物的临床特征由其在系统水平的作用方式及其独特的多药理学、靶向、表型和网络药理学所定义。研究药物作用的生化、细胞和分子机制的方法对于提高药物发现与开发的效率至关重要。本文介绍的无标记细胞表型检测以及故障排除和解卷积方法在药物发现与开发中可能具有很大的前景。

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