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

Summary: Analyzing host-microbe interactions is essential for understanding how microbiota changes disrupt host homeostasis. Here, we present a protocol for predicting host-microbe protein-protein interactions and their downstream effects using MicrobioLink. We describe steps for setting up the envi...

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Main Authors: Lejla Gul, Anna Julia Elias, Tanvi Tambaku, Marton Olbei, Emily Watters, Balazs Bohar, Dezso Modos, Matthew Madgwick, Tamas Korcsmaros
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:STAR Protocols
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666166724007354
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author Lejla Gul
Anna Julia Elias
Tanvi Tambaku
Marton Olbei
Emily Watters
Balazs Bohar
Dezso Modos
Matthew Madgwick
Tamas Korcsmaros
author_facet Lejla Gul
Anna Julia Elias
Tanvi Tambaku
Marton Olbei
Emily Watters
Balazs Bohar
Dezso Modos
Matthew Madgwick
Tamas Korcsmaros
author_sort Lejla Gul
collection DOAJ
description Summary: Analyzing host-microbe interactions is essential for understanding how microbiota changes disrupt host homeostasis. Here, we present a protocol for predicting host-microbe protein-protein interactions and their downstream effects using MicrobioLink. We describe steps for setting up the environment, installing software, and preparing human transcriptomic and bacterial proteomic data. The protocol outlines procedures for predicting protein-protein interactions through domain-motif interactions, integrating multi-omic datasets to map downstream effects, performing network analyses to identify key regulatory pathways, and visualizing multi-layered networks for systems-level data interpretation.For complete details on the use and execution of this protocol, please refer to Gul et al.1 and Poletti et al.2 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
format Article
id doaj-art-787f73fcca024d5e9beda9cc6d0daedf
institution Kabale University
issn 2666-1667
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publishDate 2025-03-01
publisher Elsevier
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series STAR Protocols
spelling doaj-art-787f73fcca024d5e9beda9cc6d0daedf2025-01-18T05:05:13ZengElsevierSTAR Protocols2666-16672025-03-0161103570Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLinkLejla Gul0Anna Julia Elias1Tanvi Tambaku2Marton Olbei3Emily Watters4Balazs Bohar5Dezso Modos6Matthew Madgwick7Tamas Korcsmaros8Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Quadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK; Corresponding authorQuadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK; Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, 1086 Budapest, HungaryDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UKDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UKDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UKDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UKDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Quadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UKQuadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK; Earlham Institute, Norwich, Norfolk NR4 7UZ, UKDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London W12 0NN, UK; Quadram Institute Bioscience, Norwich, Norfolk NR4 7UQ, UK; Earlham Institute, Norwich, Norfolk NR4 7UZ, UK; Corresponding authorSummary: Analyzing host-microbe interactions is essential for understanding how microbiota changes disrupt host homeostasis. Here, we present a protocol for predicting host-microbe protein-protein interactions and their downstream effects using MicrobioLink. We describe steps for setting up the environment, installing software, and preparing human transcriptomic and bacterial proteomic data. The protocol outlines procedures for predicting protein-protein interactions through domain-motif interactions, integrating multi-omic datasets to map downstream effects, performing network analyses to identify key regulatory pathways, and visualizing multi-layered networks for systems-level data interpretation.For complete details on the use and execution of this protocol, please refer to Gul et al.1 and Poletti et al.2 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166724007354BioinformaticsCell BiologyMicrobiologySystems biology
spellingShingle Lejla Gul
Anna Julia Elias
Tanvi Tambaku
Marton Olbei
Emily Watters
Balazs Bohar
Dezso Modos
Matthew Madgwick
Tamas Korcsmaros
Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
STAR Protocols
Bioinformatics
Cell Biology
Microbiology
Systems biology
title Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
title_full Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
title_fullStr Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
title_full_unstemmed Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
title_short Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink
title_sort protocol for predicting host microbe interactions and their downstream effect on host cells using microbiolink
topic Bioinformatics
Cell Biology
Microbiology
Systems biology
url http://www.sciencedirect.com/science/article/pii/S2666166724007354
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