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Updated: Jun 1, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink.

Lejla Gul¹, Anna Julia Elias², Tanvi Tambaku³

¹Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Quadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK.

|January 18, 2025

Summary

This summary is machine-generated.

This study introduces MicrobioLink, a protocol for analyzing host-microbe interactions. It predicts protein-protein interactions and their effects, aiding in understanding disrupted host homeostasis.

Keywords:

Bioinformatics Cell Biology Microbiology Systems biology

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Last Updated: Jun 1, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

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Published on: July 18, 2013

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

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Published on: March 5, 2022

High Throughput Co-culture Assays for the Investigation of Microbial Interactions

High Throughput Co-culture Assays for the Investigation of Microbial Interactions

Published on: October 15, 2019

Area of Science:

Microbiology
Bioinformatics
Systems Biology

Background:

Host-microbe interactions are crucial for maintaining host homeostasis.
Disruptions in microbiota can lead to significant health imbalances.

Purpose of the Study:

To present a protocol for predicting host-microbe protein-protein interactions and their downstream effects.
To provide a computational framework for analyzing complex host-microbe relationships.

Main Methods:

Utilizing the MicrobioLink tool for interaction prediction.
Preparing human transcriptomic and bacterial proteomic data.
Predicting protein-protein interactions via domain-motif analysis.
Integrating multi-omic data and performing network analyses.
Visualizing multi-layered networks for systems-level interpretation.

Main Results:

The protocol enables prediction of host-microbe protein-protein interactions.
It facilitates mapping of downstream effects on host pathways.
Network analyses identify key regulatory pathways involved in host-microbe interactions.

Conclusions:

The MicrobioLink protocol offers a comprehensive approach to studying host-microbe interactions.
This method aids in understanding the molecular mechanisms underlying disrupted host homeostasis.
It provides valuable insights for systems-level interpretation of multi-omic data in microbiome research.