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Related Concept Videos

Human Virome01:26

Human Virome

The human body harbors a vast and diverse viral community known as the human virome. The virome includes bacteriophages that infect bacteria, and eukaryotic viruses that infect human cells. Transient dietary and environmental viruses also contribute to this dynamic ecosystem. Estimates suggest the human body may contain on the order of 10¹³ viral particles, though abundance varies widely by body site and detection method.Comprehensive characterization of the virome has become possible only with...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Investigation of Disease Outbreaks01:23

Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
Introduction to the Human Microbiota01:22

Introduction to the Human Microbiota

Microorganisms colonize various regions of the human body, including the mouth, nasal passages, throat, stomach, intestines, urogenital tract, and skin. The total number of microbial cells is estimated to range from 10¹³ to 10¹⁴—comparable to, or exceeding, the number of human somatic cells. This host–microbiome relationship has led to the conceptualization of humans as supraorganisms, wherein microbial communities perform vital roles in development, immunity, and disease...

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Related Experiment Video

Updated: Jun 5, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Network medicine: a network-based approach to human disease.

Albert-László Barabási1, Natali Gulbahce, Joseph Loscalzo

  • 1Center for Complex Networks Research and Department of Physics, Northeastern University, 110 Forsyth Street, 111 Dana Research Center, Boston, Massachusetts 02115, USA. alb@neu.edu

Nature Reviews. Genetics
|December 18, 2010
PubMed
Summary

Network medicine reveals how cellular network disruptions cause complex diseases. This approach identifies disease genes, pathways, and potential therapeutic targets by analyzing molecular relationships.

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Area of Science:

  • Genomics
  • Systems Biology
  • Computational Biology

Background:

  • Human diseases arise from complex network perturbations, not single gene defects.
  • Understanding intracellular and intercellular networks is crucial for disease research.

Purpose of the Study:

  • To explore the molecular complexity of diseases using network medicine.
  • To identify disease modules, pathways, and relationships between phenotypes.
  • To advance the discovery of disease genes, mutations, drug targets, and biomarkers.

Main Methods:

  • Systematic exploration of molecular interdependencies within cellular networks.
  • Analysis of complex intracellular and intercellular communication pathways.
  • Integration of data from genome-wide association studies and sequencing.

Main Results:

  • Identification of disease-specific molecular modules and pathways.
  • Uncovering molecular links between distinct disease phenotypes.
  • Provides a framework for understanding complex disease etiology.

Conclusions:

  • Network medicine offers a powerful platform for dissecting complex diseases.
  • Advances in network analysis are essential for identifying novel therapeutic strategies.
  • This approach facilitates the discovery of biomarkers and drug targets for intricate conditions.