Transcriptional Hubs Within Cliques in Ensemble Hi-C Chromatin Interaction Networks.
Gatis MelkusAndrejs SizovsPeteris RucevskisSandra SilinaPublished in: Journal of computational biology : a journal of computational molecular cell biology (2024)
Chromatin conformation capture technologies permit the study of chromatin spatial organization on a genome-wide scale at a variety of resolutions. Despite the increasing precision and resolution of high-throughput chromatin conformation capture (Hi-C) methods, it remains challenging to conclusively link transcriptional activity to spatial organizational phenomena. We have developed a clique-based approach for analyzing Hi-C data that helps identify chromosomal hotspots that feature considerable enrichment of chromatin annotations for transcriptional start sites and, building on previously published work, show that these chromosomal hotspots are not only significantly enriched in RNA polymerase II binding sites as identified by the ENCODE project, but also identify a noticeable increase in FANTOM5 and GTEx transcription within our identified cliques across a variety of tissue types. From the obtained data, we surmise that our cliques are a suitable method for identifying transcription factories in Hi-C data, and outline further extensions to the method that may make it useful for locating regions of increased transcriptional activity in datasets where in-depth expression or polymerase data may not be available.
Keyphrases
- transcription factor
- gene expression
- genome wide
- dna damage
- electronic health record
- dna methylation
- high throughput
- big data
- machine learning
- poor prognosis
- heat shock
- randomized controlled trial
- data analysis
- quality improvement
- systematic review
- deep learning
- single molecule
- optical coherence tomography
- long non coding rna