Related Experiment Video
Updated: Feb 14, 2026
07:28
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
3.7K
Unveiling network-based functional features through integration of gene expression into protein networks
Mahdi Jalili1, Tom Gebhardt2, Olaf Wolkenhauer2
1Hematology, Oncology and SCT Research Center, Tehran University of Medical Sciences, Tehran, Iran; Hematologic Malignancies Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Biochimica Et Biophysica Acta. Molecular Basis of Disease
|February 22, 2018
Summary
Integrating gene expression and protein-protein interaction networks offers a powerful approach to understanding complex diseases. This multi-omics strategy reveals network-based functional features for better disease gene identification and biological insight.
Area of Science:
- Biomedicine
- Systems Biology
- Genomics
Background:
- Decoding health and disease phenotypes is crucial in biomedicine.
- Single omics approaches often fail to capture complex phenotypic traits.
- Integrated multi-omics strategies are essential for unraveling genotype-phenotype relationships.
Purpose of the Study:
- To review emerging approaches integrating gene expression and protein-protein interaction networks.
- To highlight progress, challenges, and advantages of these integrated network-based methods.
- To discuss their contribution to understanding complex traits and diseases.
Main Methods:
- Integration of gene expression data with protein-protein interaction networks.
- Network-based analysis to identify functional features.
- Methods for disease gene identification, prioritization, and module discovery.
- Analysis of static and dynamic protein complexes.
Main Results:
- Identification of disease-related genes and prioritization.
- Clustering protein interactions and developing network modules.
- Extraction of active subnetworks and protein complexes.
- Enhanced understanding of network-based functional features.
Conclusions:
- Integrated gene expression and protein-protein interaction network approaches are vital for understanding complex diseases.
- These methods advance the identification and prioritization of disease genes.
- Network-based analyses provide deeper insights into the biology of complex traits and diseases.
Keywords:
Gene expression profileMulti-omics data integrationProtein–protein interaction networkTime series gene expression profileMore Related Videos
Related Concept Videos
02:26Protein Networks
4.6K
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,...
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,...
4.6K
02:26Protein Networks
2.9K
2.9K
01:25Network Function of a Circuit
884
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.
884
02:18Network Covalent Solids
16.2K
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...
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...
16.2K
01:42What is Gene Expression?
197.1K
Overview
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
Gene expression is the process in which DNA directs the synthesis of functional products, that is, proteins. Cells can regulate gene expression at various stages. It allows organisms to generate different cell types and enables cells to adapt to internal and external factors.
Genetic Information Flows from DNA to RNA to Protein
A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is made up of nucleotides and proteins consist of amino...
197.1K
01:58Cell Specific Gene Expression
16.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
16.6K