Optimization and validation of a DYRK1A TR-FRET assay for high-throughput screening

Finding the partner: FRET and beyond

Given the importance of aberrant protein-protein interactions (PPIs) in disease, the recent drug discovery focuses on targeting the altered PPIs to treat the disease. In this context, identifying the atypical PPIs underlying the disease is critical for the development of diagnostics and therapeutics. Various biochemical, biophysical, and genetic methods have been reported to study PPIs. Here, we are giving a short account of those techniques with more emphasis on Förster resonance energy transfer (FRET), which can be used to monitor macromolecular interactions in live cells. Besides the basics of FRET, we explain the modifications of its application, like Single molecule FRET (smFRET), Fluorescence Lifetime Imaging Microscopy-FRET (FLIM-FRET), and photoswitching FRET. While smFRET is extensively used for evaluating the biology of nucleic acids and also to develop diagnostics, FLIM-FRET is widely exploited to study the PPIs underlying neurological disorders and cancer. Photoswitching FRET is a relatively newer technique and it has tremendous potential to unravel the significance of different PPIs. Besides these modifications, there are several advancements in the field by introducing new fluorophores. Identification of lanthanide chelates, quantum dots, and other nanoparticle fluorophores has revolutionized the applications of FRET in diagnostics and basic biology. Yet, these methods can be employed to study the interactions of only two molecules. Since the majority of the PPIs are multimeric complexes, we still need to improve our technologies to study these interactions in live cells in real-time.

The Application of High-Throughput Approaches in Identifying Novel Therapeutic Targets and Agents to Treat Diabetes

During the past decades, unprecedented progress in technologies has revolutionized traditional research methodologies. Among these, advances in high-throughput drug screening approaches have permitted the rapid identification of potential therapeutic agents from drug libraries that contain thousands or millions of molecules. Moreover, high-throughput-based therapeutic target discovery strategies can comprehensively interrogate relationships between biomolecules (e.g., gene, RNA, and protein) and diseases and significantly increase the authors' knowledge of disease mechanisms. Diabetes is a chronic disease primarily characterized by the incapacity of the body to maintain normoglycemia. The prevalence of diabetes in modern society has become a severe public health issue that threatens the well-being of millions of patients. Although a number of pharmacological treatments are available, there is no permanent cure for diabetes, and discovering novel therapeutic targets and agents continues to be an urgent need. The present review discusses the technical details of high-throughput screening approaches in drug discovery, followed by introducing the applications of such approaches to diabetes research. This review aims to provide an example of the applicability of high-throughput technologies in facilitating different aspects of disease research.

Data supporting a pilot high-throughput screen of a drug library for identification of DYRK1A inhibitors and high-content imaging analysis of identified harmine analogs

The data presented in this article support the accompanying research article "Identification of harmine and β-carboline analogs from a high-throughput screen of an approved drug collection; profiling as differential inhibitors of DYRK1A and monoamine oxidase A and for in vitro and in vivo anti-cancer studies" [1]. As DYRK1A (dual-specificity tyrosine phosphorylation-regulated kinase 1a) plays a role in the pathophysiology of a number of diseases including diabetes, cancer and neurodegeneration [2], [3], [4], the identification of DYRK1A inhibitors is of significant interest. This data article details the hits identified from a DYRK1A high-throughput screen of a small molecule compound library containing over 95% approved drugs. Twenty-two compounds were identified with >50% inhibition, including harmine and four of its analogs. Subsequent profiling of these harmine analogs using glioma cancer cell lines and high-content image analysis identified those with effects on growth and cytotoxicity.

Identification of harmine and β-carboline analogs from a high-throughput screen of an approved drug collection; profiling as differential inhibitors of DYRK1A and monoamine oxidase A and for in vitro and in vivo anti-cancer studies

DYRK1A (dual-specificity tyrosine phosphorylation-regulated kinase 1a) is highly expressed in glioma, an aggressive brain tumor, and has been proposed as a therapeutic target for cancer. In the current study, we have used an optimized and validated time-resolved fluorescence energy transfer (TR-FRET)-based DYRK1A assay for high-throughput screening (HTS) in 384-well format. A small-scale screen of the FDA-approved Prestwick drug collection identified the β-carboline, harmine, and four related analogs as DYRK1A inhibitors. Hits were confirmed by dose response and in an orthogonal DYRK1A assay. Harmine's potential therapeutic use has been hampered by its off-target activity for monoamine oxidase A (MAO-A) which impacts multiple nervous system targets. Selectivity profiling of harmine and a broader collection of analogs allowed us to map some divergent SAR (structure-activity relationships) for the DYRK1A and MAO-A activities. The panel of harmine analogs had varying activities in vitro in glioblastoma (GBM) cell lines when tested for anti-proliferative effects using a high content imaging assay. In particular, of the identified analogs, harmol was found to have the best selectivity for DYRK1A over MAO-A and, when tested in a glioma tumor xenograft model, harmol demonstrated a better therapeutic window compared to harmine.