Identification of Selective Small Molecule Modulators of mRNA Processing Using a Multiplexed QuantiGene High-Throughput Screening Platform.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Sarah Sirin, Nirodhini S Siriwardana, Michael Wood, James Mills, Dominic J Reynolds, Frédéric H Vaillancourt
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引用次数: 0

Abstract

High-throughput screening (HTS) approaches incorporating multiplexed, cell-based assays are increasingly common for identifying novel modulators of complex biological processes. To enable the discovery of small molecule modulators of mRNA processing, we developed a multiplexed, bead-based, high-throughput QuantiGene assay, leveraging the Luminex platform that is capable of simultaneously quantifying transcript levels of multiple independent target genes within a single HTS campaign. To address plate variability and potential screening artifacts, a pragmatic hit-calling pipeline was implemented utilizing both plate- and well-based normalization strategies. This dual-normalization approach reduced false negatives and produced consistent hit confirmation rates. Application of this methodology led to the identification of unique compounds selectively modulating individual target genes. Strikingly, among the three exemplary genes, only 5% of primary actives demonstrated activity across all three target genes, underscoring the assay's capacity for detecting selective mRNA modulators. Chemical motif analysis of confirmed actives recovered known RNA privileged scaffolds as well as novel scaffolds that are uniquely enriched for individual targets screened. Validation screening using an orthogonal, four-point concentration-response real-time PCR (qPCR) assay in a disease-relevant cell line demonstrated high validation rates, supporting the robustness and translational relevance of this multiplexed HTS platform. These findings establish a scalable and reliable strategy for identifying selective small molecule modulators of mRNA processing, with broad applicability in early drug discovery.

利用多路量化基因高通量筛选平台鉴定mRNA加工的选择性小分子调节剂。
高通量筛选(HTS)方法结合多路复用,以细胞为基础的分析越来越普遍用于识别复杂生物过程的新调节剂。为了发现mRNA加工的小分子调节剂,我们开发了一种多路复用、基于头的高通量QuantiGene检测方法,利用Luminex平台,能够同时定量单个HTS活动中多个独立靶基因的转录水平。为了解决板块可变性和潜在的筛选伪影,利用板块和基于井的规范化策略实现了一个实用的命中呼叫管道。这种双重归一化方法减少了假阴性,并产生了一致的命中确认率。这种方法的应用导致鉴定独特的化合物选择性地调节单个靶基因。引人注目的是,在三个示例性基因中,只有5%的主要活性在所有三个靶基因中表现出活性,强调了该分析检测选择性mRNA调节剂的能力。化学基序分析确认的活性恢复已知的RNA特权支架,以及新的支架是独特的富集为筛选的单个目标。在疾病相关细胞系中使用正交、四点浓度-反应实时PCR (qPCR)试验进行验证筛选,验证率高,支持该多路HTS平台的稳健性和翻译相关性。这些发现为鉴定mRNA加工的选择性小分子调节剂建立了一种可扩展和可靠的策略,在早期药物发现中具有广泛的适用性。
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来源期刊
Assay and drug development technologies
Assay and drug development technologies 医学-生化研究方法
CiteScore
3.60
自引率
0.00%
发文量
33
审稿时长
>12 weeks
期刊介绍: ASSAY and Drug Development Technologies provides access to novel techniques and robust tools that enable critical advances in early-stage screening. This research published in the Journal leads to important therapeutics and platforms for drug discovery and development. This reputable peer-reviewed journal features original papers application-oriented technology reviews, topical issues on novel and burgeoning areas of research, and reports in methodology and technology application. ASSAY and Drug Development Technologies coverage includes: -Assay design, target development, and high-throughput technologies- Hit to Lead optimization and medicinal chemistry through preclinical candidate selection- Lab automation, sample management, bioinformatics, data mining, virtual screening, and data analysis- Approaches to assays configured for gene families, inherited, and infectious diseases- Assays and strategies for adapting model organisms to drug discovery- The use of stem cells as models of disease- Translation of phenotypic outputs to target identification- Exploration and mechanistic studies of the technical basis for assay and screening artifacts
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