Related Experiment Video
Updated: Jun 8, 2026
03:08
Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Gene set enrichment; a problem of pathways.
Matthew N Davies1, Emma L Meaburn, Leonard C Schalkwyk
1Institute of Psychiatry, Kings College London, UK. matthew.1.davies@kcl.ac.uk
Briefings in Functional Genomics
|September 24, 2010
Summary
This study introduces a new machine learning method to create biologically relevant gene sets for Gene Set Enrichment (GSE) analysis. This approach improves the mining of genomic data for disease-associated variants and pathways.
Area of Science:
- Computational biology
- Bioinformatics
- Genomics
Background:
- Gene Set Enrichment (GSE) analysis identifies differential gene expression between phenotypes.
- Current GSE methods rely on potentially unrepresentative pathway databases.
Purpose of the Study:
- To develop a novel approach for generating comprehensive, biologically derived gene sets.
- To improve the analysis of genomic data using machine learning.
Main Methods:
- Utilized machine learning techniques applied to gene expression data.
- Generated gene sets specific to tissues, developmental stages, or environments.
Main Results:
- Created functionally meaningful gene sets from biological data.
- Enabled more effective mining of genomewide association and next-generation sequencing data.
Conclusions:
- The proposed method offers a powerful alternative to traditional GSE gene set generation.
- This biologically derived approach enhances the identification of disease-associated variants and pathways.
Related Concept Videos
01:19Interactions Between Signaling Pathways
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
02:26Protein 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,...
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,...
01:22Amplifying Signals via Enzymatic Cascade
When a ligand binds to a cell-surface receptor, the receptor's intracellular domain changes shape, which may either activate its enzyme function or allow its binding to other molecules. The initial signal is amplified by most signal transduction pathways. This means that a single ligand molecule can activate multiple molecules of a downstream target. Proteins that relay a signal are most commonly phosphorylated at one or more sites, activating or inactivating the protein. Kinases catalyze the...
01:25cAMP-dependent Protein Kinase Pathways
Cyclic Adenosine Monophosphate (cAMP) is an essential second messenger that activates protein kinase A (PKA) and regulates various biological processes. A single epinephrine molecule binds to GPCR and activates several heterotrimeric G proteins, each stimulating multiple adenylyl cyclase, amplifying the signal, and synthesizing large numbers of cAMP molecules. Small changes in cAMP concentration affect PKA activity. The binding of four cAMP molecules induces a conformational change in PKA,...
01:09Epistasis Analysis
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...