Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

4.5K
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,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.1K
Network Function of a Circuit01:25

Network Function of a Circuit

681
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
681
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

489
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
489
Inflammatory Bowel Disease II: Crohn's Disease01:30

Inflammatory Bowel Disease II: Crohn's Disease

1000
Introduction
Inflammatory bowel disease, commonly known as IBD, refers to a collection of disorders that lead to persistent inflammation of the gastrointestinal tract. The two types of IBD are ulcerative colitis, which impacts the colon, and Crohn's disease, which can involve any part of the gastrointestinal segment.
Crohn's disease
Crohn's disease is a chronic, systemic inflammatory bowel disease (IBD) that predominantly affects the gastrointestinal tract. It is marked by...
1000

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The interplay between ecological networks drives host-plasmid community dynamics.

PLoS computational biology·2026
Same author

Integrative multi-omic analyses identify major axes of heterogeneity in chronic obstructive pulmonary disease and uncover their molecular contributors.

medRxiv : the preprint server for health sciences·2026
Same author

Reducibility of higher-order networks from dynamics.

Nature communications·2026
Same author

Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.

Entropy (Basel, Switzerland)·2025
Same author

Decoding the architecture of living systems.

Reports on progress in physics. Physical Society (Great Britain)·2025
Same author

Bifurcations and phase transitions in the origins of life.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025

Related Experiment Video

Updated: Jan 25, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.1K

The multiplex network of human diseases.

Arda Halu1, Manlio De Domenico2, Alex Arenas2

  • 11Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115 USA.

NPJ Systems Biology and Applications
|May 3, 2019
PubMed
Summary

Understanding the link between disease genetics (genotype) and symptoms (phenotype) is key. This study reveals how shared genes lead to similar symptoms, improving disease classification and uncovering new potential disease links.

Keywords:
Computational biology and bioinformaticsSystems biology

More Related Videos

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
06:46

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19

Published on: July 5, 2022

3.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K

Related Experiment Videos

Last Updated: Jan 25, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
07:57

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

9.1K
A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
06:46

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19

Published on: July 5, 2022

3.2K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K

Area of Science:

  • Genomics
  • Systems Biology
  • Medical Informatics

Background:

  • Disease characterization and subtyping rely on understanding the complex relationship between genetic makeup (genotype) and observable traits (phenotype).
  • Existing classification systems often struggle to integrate molecular and clinical data effectively.

Purpose of the Study:

  • To construct and analyze a multiplex network integrating genotype and phenotype data for 779 human diseases.
  • To investigate how shared genetic factors influence phenotypic similarities among diseases.
  • To develop a novel, flexible disease classification system incorporating both molecular and clinical information.

Main Methods:

  • Development of a multiplex network model comprising genotype- and phenotype-based layers for 779 human diseases.
  • Network analysis to identify disease communities with high intra-group similarity at both molecular and phenotypic levels.
  • Examination of information flow between genotype and phenotype layers to propose novel disease associations.

Main Results:

  • Diseases with common genetic components exhibit a tendency to share clinical symptoms.
  • Phenotypic information significantly enhances the predictive power of genotype information in disease analysis.
  • Cohesive disease groups were identified, demonstrating mechanistic links through underlying pathways, including associations between monogenic disorders and complex diseases.
  • Potentially novel disease associations were proposed based on cross-layer information flow.

Conclusions:

  • Integrating genotype and phenotype data through multiplex networks offers a powerful approach for disease classification and understanding.
  • The study highlights the interconnectedness of genetic predispositions and clinical manifestations, paving the way for more precise disease subtyping.
  • This network-based framework can reveal hidden relationships between diseases, including links between rare genetic disorders and common complex diseases.