Speaker
Description
Analysis of overrepresentation of Gene Ontology (GO) terms in a set of differentially expressed genes is a standard approach to investigate functional associations of gene expression changes. We developed GO-a-GO tool to be able to analyze functional terms that are overrepresented in a set of gene pairs. This provides the opportunity to see which functions are associated with gene pairs from a selected group of chromatin contacts, such as cell type specific contacts. We used GO-a-GO to analyze GO terms enriched in top 5% of differential contacts (at distances up to 5 Mb) in mouse embryonic stem cells and neocortical neurons measured using Hi-C genome architecture mapping (Bonev et al., 2017). The analysis revealed several enriched functional terms associated with both genes in contact pairs. In summary, we developed a promising tool to study the function of chromatin three-dimensional structural contacts, which can be used independently on the type of experimental method used to measure the contacts and on the nature of contacts (e.g. loops or spatial gene clusters).
| Field | Biosciences |
|---|---|
| Length | Poster |