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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Related Experiment Video

Updated: Dec 20, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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MicrobioLink: An Integrated Computational Pipeline to Infer Functional Effects of Microbiome-Host Interactions.

Tahila Andrighetti1,2, Balazs Bohar1,3, Ney Lemke2

  • 1Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK.

Cells
|May 28, 2020
PubMed
Summary

MicrobioLink analyzes microbe-host protein interactions to reveal disease mechanisms. This computational tool integrates microbial and host data, offering insights into how microbes influence host processes in conditions like Crohn's disease.

Keywords:
computational pipelinemicrobiota–host interactionsnetwork diffusionnetworksprotein–protein interactionssystems biology

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Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Microbiome-host interactions are crucial in health and disease, particularly autoimmune disorders.
  • Understanding these cross-kingdom communications is key to deciphering disease pathogenesis and identifying therapeutic targets.
  • A significant knowledge gap exists regarding the downstream effects of microbe-host interactions on host cellular processes.

Purpose of the Study:

  • To present MicrobioLink, a novel computational pipeline designed to bridge the gap in understanding microbe-host interactions.
  • To integrate predicted microbial-host protein interactions with host molecular networks.
  • To analyze how microbial proteins influence host cellular processes and gene expression.

Main Methods:

  • Developed MicrobioLink, a computational pipeline for integrating microbial and host protein interaction data with host molecular networks.
  • Employed network diffusion algorithms to analyze the influence of microbial proteins on host gene and protein expression.
  • Utilized gut metaproteomic data from Crohn's disease patients and healthy controls for a case study.

Main Results:

  • Demonstrated the applicability of MicrobioLink through a case study on Crohn's disease.
  • Identified mechanisms by which microbial proteins modulate host genes involved in disease pathogenesis.
  • Showcased MicrobioLink's ability to analyze context-specific microbial influences on host biology.

Conclusions:

  • MicrobioLink provides a powerful computational approach to study microbe-host interactions and their impact on host processes.
  • The pipeline aids in uncovering disease mechanisms by elucidating how microbial factors influence host gene expression.
  • MicrobioLink is a versatile tool, agnostic to microbial protein sources, and is publicly available.