Method for Identifying Small Molecule Inhibitors of the Protein-protein Interaction Between HCN1 and TRIP8b

Ye Han; Kyle A. Lyman; Matt Clutter; Gary E. Schiltz; Quratul-Ain Ismail; Xiangying Cheng; Chi-Hao Luan; Dane M. Chetkovich

doi:10.3791/54540

방법 및 HCN1 TRIP8b 간의 단백질 - 단백질 상호 작용의 작은 분자 억제제 식별

JoVE Journal
Biochemistry

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JoVE Journal Biochemistry

Method for Identifying Small Molecule Inhibitors of the Protein-protein Interaction Between HCN1 and TRIP8b

방법 및 HCN1 TRIP8b 간의 단백질 - 단백질 상호 작용의 작은 분자 억제제 식별

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10:20 min

November 11, 2016

DOI: 10.3791/54540-v

Ye Han*¹, Kyle A. Lyman*¹, Matt Clutter², Gary E. Schiltz³, Quratul-Ain Ismail¹, Xiangying Cheng¹, Chi-Hao Luan⁴, Dane M. Chetkovich^1,5

¹Davee Department of Neurology and Clinical Neurosciences,Feinberg School of Medicine, Northwestern University, ²Center for Molecular Innovation and Drug Discovery,Northwestern University, ³Department of Pharmacology,Feinberg School of Medicine, Northwestern University, ⁴High Throughput Analysis Laboratory, Department of Molecular Biosciences,Northwestern University, ⁵Department of Physiology,Feinberg School of Medicine, Northwestern University

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Overview

This article presents a fluorescence polarization-based method for identifying small molecule inhibitors that disrupt the interaction between TRIP8b and HCN channels. This approach aims to develop new treatments for Major Depressive Disorder and potentially other disorders such as chronic pain.

Key Study Components

Area of Science

Neuroscience
Pharmacology
Therapeutics

Background

HCN channels and their auxiliary subunit TRIP8b are implicated in Major Depressive Disorder.
Disrupting the TRIP8b-HCN interaction may offer therapeutic benefits.
This method can be performed in a high throughput manner.
Visual demonstrations enhance understanding of automated high throughput techniques.

Purpose of Study

To identify small molecules that inhibit the TRIP8b-HCN interaction.
To explore potential new treatments for depression.
To assess the method's applicability to other disorders.

Methods Used

Fluorescence polarization-based screening.
High throughput analysis.
Automated instrumentation.
Visual protocol demonstration.

Main Results

Identification of candidate small molecules for further development.
Demonstration of the method's efficiency in a high throughput setting.
Potential therapeutic implications for depression and chronic pain.
Support for the role of TRIP8b in HCN channel modulation.

Conclusions

The method shows promise for discovering new depression treatments.
Disruption of TRIP8b-HCN interactions may benefit other conditions.
Automated high throughput techniques can advance research.

Frequently Asked Questions

What is the main goal of this study?

The main goal is to identify small molecules that disrupt the TRIP8b-HCN channel interaction, potentially leading to new treatments for depression.

How does the method work?

The method utilizes fluorescence polarization to screen for small molecule inhibitors in a high throughput manner.

What are the implications of this research?

This research may lead to novel therapies for Major Depressive Disorder and other related disorders.

Why is high throughput analysis important?

High throughput analysis allows for the rapid screening of many compounds, increasing the efficiency of drug discovery.

What other disorders could benefit from this research?

In addition to depression, disrupting the TRIP8b-HCN interaction may also have therapeutic benefits for chronic pain.

Where was this research conducted?

The research was conducted at Northwestern University's high throughput analysis lab.

HCN 채널과 보조 서브 유닛 사이의 상호 작용은 주요 우울 장애의 치료 대상으로 확인되었습니다. 여기서,이 단백질 - 단백질 상호 작용의 소분자 억제제를 식별하기위한 형광 편광 - 기반 방법이 제공된다.

이 절차의 전반적인 목표는 TRIP8b와 HCN 채널 간의 상호 작용을 방해할 수 있는 작은 분자를 식별하는 것입니다. 이 방법은 우울증에 대한 새로운 치료법으로 개발될 수 있는 후보 분자를 식별합니다. 이 기술의 주요 장점은 높은 처리량 방식으로 완료할 수 있다는 것입니다.

이 기술은 주요 우울 장애에 대한 새로운 치료법 개발에 영향을 미치는데, 그 이유는 본 연구실에서 HCN에 대한 TRIP8b 결합을 방해하는 것이 치료적 이점이 있을 수 있음을 보여주었기 때문입니다. 이 방법은 우울증을 염두에 두고 개발되었지만, TRIP8b와 HCN 간의 상호 작용을 방해하는 것은 만성 통증과 같은 다른 질환에서 치료에 도움이 될 수 있습니다. 이 프로토콜의 시각적 시연은 노스웨스턴 대학교의 고처리량 분석 실험실과 같은 개방형 시설에서 기본 및 중개 연구를 진행하기 위해 자동화된 고처리량 기기를 사용하는 이점을 보여주기 때문에 중요합니다.

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