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

3.7K
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,...
3.7K
Protein Networks02:26

Protein Networks

1.8K
1.8K
RNA-seq03:21

RNA-seq

9.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
9.4K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.9K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.9K
Next-generation Sequencing03:00

Next-generation Sequencing

88.0K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
88.0K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

865
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...
865

You might also read

Related Articles

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

Sort by
Same author

Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets.

bioRxiv : the preprint server for biology·2026
Same author

Systematic discovery of pro- and anti-HIV host factors in primary human CD4+ T cells.

Cell·2026
Same author

The scientific legacy of Martin Karplus from the perspective of his collaborators.

Biophysical journal·2026
Same author

Reduced PRC2 function causes asparaginase resistance in T-ALL by decreasing WNT pathway activity.

Blood advances·2026
Same author

Genetic interactions, synthetic lethality and complexity in cancer vulnerability mapping-Insights and perspectives from the 2nd EuroDepMap symposium.

FEBS letters·2026
Same author

The filamentous ultrastructure of the PopZ condensate is required for its cellular function.

Nature structural & molecular biology·2026
Same journal

Genetic origins and constraints of evolutionary innovation.

Nature reviews. Genetics·2026
Same journal

Single-cell four-omics with CHARM.

Nature reviews. Genetics·2026
Same journal

Molecular integration of seasonal temperature signals in flowering time control.

Nature reviews. Genetics·2026
Same journal

RBPscan measures protein-RNA interactions in living cells.

Nature reviews. Genetics·2026
Same journal

Revisiting retinal and macular degeneration in the genomics era.

Nature reviews. Genetics·2026
Same journal

How evolution builds three morphs from one genome.

Nature reviews. Genetics·2026
See all related articles

Related Experiment Video

Updated: May 6, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.1K

High-resolution network biology: connecting sequence with function.

Colm J Ryan1, Peter Cimermančič, Zachary A Szpiech

  • 11] School of Medicine and Medical Science, University College Dublin, Dublin 4, Ireland. [2] Complex and Adaptive Systems Laboratory, University College Dublin, Dublin 4, Ireland.

Nature Reviews. Genetics
|November 8, 2013
PubMed
Summary
This summary is machine-generated.

Network biology traditionally overlooks protein domains and modification sites. This review explores methods to analyze protein interactions at the domain and residue levels for improved disease mutation understanding and therapeutics.

More Related Videos

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

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

Published on: October 19, 2021

2.7K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Related Experiment Videos

Last Updated: May 6, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.1K
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
07:28

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

Published on: October 19, 2021

2.7K
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

1.1K

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Proteins possess multiple domains mediating distinct interactions.
  • Protein functionality is regulated by post-translational modifications at specific sites.
  • Traditional network biology often simplifies proteins to whole entities, ignoring domain-specific or residue-level information.

Purpose of the Study:

  • To review experimental and computational methods for high-resolution analysis of biological interactions.
  • To bridge the gap between sequence/structural information and interaction networks.
  • To enhance understanding of disease-associated mutations and inform therapeutic strategies.

Main Methods:

  • Discussion of experimental techniques for domain- and residue-level interaction studies.
  • Overview of computational approaches for high-resolution network analysis.
  • Integration of multi-level interaction data.

Main Results:

  • Identification of methods to dissect protein interactions at domain and residue resolution.
  • Demonstration of how high-resolution networks connect sequence/structure to function.
  • Highlighting the importance of fine-grained analysis for understanding mutation effects.

Conclusions:

  • Advancing network biology to domain and residue levels is critical for biological insight.
  • High-resolution interaction data aids in understanding disease mechanisms.
  • This approach holds promise for developing more targeted and effective therapeutic strategies.