A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

Enhancers are DNA regions that regulate gene expression. Mutations within enhancers can result in abnormal gene regulation leading to disease. Therefore, identifying enhancers that regulate gene activity in specific tissues is crucial for understanding the genetic basis of disease. However, enhancers are difficult to identify as they do not encode proteins. While numerous enhancer repositories and identification tools are available, the complexity of these tools can present a challenge for biologists. To facilitate biologists in using these resources, we present a biologist-friendly protocol (https://github.com/Ramialison-Lab/EnhancerWorkflow) which leverages existing web-based genomics data such as H3K4me1 and H3K27ac histone marks and chromatin conformation analysis (Hi-C) data to discover enhancers associated with a gene of interest (GoI) in a target tissue where the enhancer is active. This protocol is entirely web-based and does not require programming skills from end-users. We demonstrated the utility of this approach by characterising candidate enhancers regulating TBX5, a gene critical for heart development. This protocol facilitates the identification of enhancers associated with this gene in the left ventricle.