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Volcano Plots
Show which genes are significantly differentially expressed in a condition
Direct functions
Actual biological pathways of a gene
Indirect functions
Larger scale impacts of the pathway a gene is involved in
Genes can be associated into a set based on ____ or _____
pathway involvement, similarity
What is a gene set?
A priori defined set of genes
______, ______, and ______, are sources of gene sets
Literature and experimental evidence, curated databases, computational predictions
Gene ontologies are _____ with _______relationships
gene sets; hierarchal relationships
Three aspects of gene ontology
Biological processes
Molecular function
Cellular component
The GO structure is ____ due to many __________ relationships
acyclic, parent-child
Molecular function
Catalytic/enzymatic “activity”
Cellular component
Structural components/complexes
Biological Processes
Pathways (ie. exocytosis)
What is the motivation for gene set analysis?
Is my hitlist enriched in any function?
Differences between gene set analysis compared to individual gene analysis
Genes analyzed as sets
Individual genes don’t need to be significantly differentially expressed
Gene sets must be enriched for the finding to be statistically significant
Over-representation analysis (ORA) takes a list of ______ genes and sees if any gene sets are _______
significant; overrepresented
Pro of ORA
Easy to understand and run
Cons of ORA
Does not account for genes that are borderline on the p-value cutoff
Possible that no genes are significant to begin with
GSEA step 1
Rank ALL genes from high-low expression in one condition
GSEA step 2
Identify individual genes within the data set and ranked list
Black lines indicate genes that are present in the gene set of question
Determine if there is enrichment
A positive enrichment score indicates
Upregulated genes in X pathway are enriched
A negative enrichment score indicates
Downregulated genes in X pathway are enriched.
Problems with ontology and enrichment
Ontologies are incomplete (based on experimental evidence and statistics)
Ontologies are always changing