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JoVE Journal
Immunology and Infection
比较方法来表征景观的宿主 - 病原体蛋白 - 蛋白相互作用
比较方法来表征景观的宿主 - 病原体蛋白 - 蛋白相互作用
JoVE Journal
Immunology and Infection
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JoVE Journal Immunology and Infection
A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

比较方法来表征景观的宿主 - 病原体蛋白 - 蛋白相互作用

Full Text
11,663 Views
13:56 min
July 18, 2013

DOI: 10.3791/50404-v

Mandy Muller*1,2, Patricia Cassonnet*1, Michel Favre1, Yves Jacob1,3, Caroline Demeret1

1Unité de Génétique, Papillomavirus et Cancer Humain (GPCH),Institut Pasteur , 2Cellule Pasteur,Université Sorbonne Paris Cité, 3Center for Cancer Systems Biology (CCSB), Harvard Medical School, Department of Cancer Biology,Dana Farber Cancer Institute

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Overview

This article focuses on the identification of high-confident interaction datasets between host and pathogen proteins using a combination of two orthogonal methods: yeast two-hybrid followed by a high-throughput interaction assay in mammalian cells called HT-GPCA.

Key Study Components

Area of Science

  • Protein-protein interactions
  • Pathogen-host interactions
  • High-throughput screening methods

Background

  • Understanding protein interactions is crucial for elucidating pathogen mechanisms.
  • Yeast two-hybrid screening is a widely used method for identifying protein interactions.
  • HT-GPCA provides a robust platform for validating interactions in mammalian cells.
  • Comparative studies can reveal differences in interaction profiles across pathogen variants.

Purpose of Study

  • To compare interaction profiles of proteins from different pathogen variants.
  • To identify potential interacting partners of pathogen proteins.
  • To provide a comparative overview of pathogen-host protein interactions.

Methods Used

  • Yeast two-hybrid screenings of cDNA to identify interacting partners.
  • Sequencing of open reading frames of identified partners.
  • Validation of interactions using a luciferase-based protein fragment complementation assay.
  • Comparison of interaction intensities using luciferase measures.

Main Results

  • Different interaction intensities observed between pathogen proteins and cellular proteins.
  • Robust comparative interaction datasets generated.
  • Insights into the dynamics of pathogen-host interactions.
  • Identification of key interacting partners for further study.

Conclusions

  • The study successfully identifies high-confidence interactions between host and pathogen proteins.
  • Results provide valuable insights into the mechanisms of pathogen interactions.
  • Future research can build on these findings to explore therapeutic targets.

Frequently Asked Questions

What methods were used to identify protein interactions?
Yeast two-hybrid screenings followed by a luciferase-based protein fragment complementation assay were used.
What is the significance of the interaction profiles?
They provide insights into how different pathogen variants interact with host cellular factors.
How were the interacting partners validated?
Interacting partners' open reading frames were sequenced and tested in mammalian cells.
What were the main findings of the study?
Different interaction intensities were observed, indicating variability in pathogen-host interactions.
What is the potential impact of this research?
It may lead to the identification of new therapeutic targets for infectious diseases.

本文重点介绍高信心之间的相互作用数据库宿主与病原体的蛋白质结合使用两个正交的方法识别:酵母双杂交,然后通过高通量相互作用的检测在哺乳动物细胞中名为HT-GPCA。

以下实验的总体目标是进行生态学研究,以比较来自不同病原体变体的蛋白质与一组常见细胞因子的相互作用谱。这是通过基于交配的酵母实现的,CDNA 的两种杂交筛选用于识别来自不同病原体变体的蛋白质的潜在相互作用伙伴。作为第二步,对相互作用的伙伴开放阅读框进行测序并转移到兼容的载体中,以便进一步验证。

接下来,选择从所有两个杂交筛选中出现的一组个体伴侣,并重新测试它们与所研究的全部菌株的相互作用。这是通过在哺乳动物细胞中进行的基于正交 gia、荧光素酶的蛋白质片段互补测定来完成的,以提供强大的比较相互作用数据集。结果显示,根据获得的荧光素酶测量值,病原体蛋白和细胞蛋白之间的相互作用强度不同,从而提供了病原体宿主蛋白相互作用的比较概述。

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