Experimental Validation and Prediction of Super-Enhancers: Advances and Challenges

Autor: Ekaterina V. Kravchuk, German A. Ashniev, Marina G. Gladkova, Alexey V. Orlov, Anastasiia V. Vasileva, Anna V. Boldyreva, Alexandr G. Burenin, Artemiy M. Skirda, Petr I. Nikitin, Natalia N. Orlova
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cells, Vol 12, Iss 8, p 1191 (2023)
Druh dokumentu: article
ISSN: 12081191
2073-4409
DOI: 10.3390/cells12081191
Popis: Super-enhancers (SEs) are cis-regulatory elements of the human genome that have been widely discussed since the discovery and origin of the term. Super-enhancers have been shown to be strongly associated with the expression of genes crucial for cell differentiation, cell stability maintenance, and tumorigenesis. Our goal was to systematize research studies dedicated to the investigation of structure and functions of super-enhancers as well as to define further perspectives of the field in various applications, such as drug development and clinical use. We overviewed the fundamental studies which provided experimental data on various pathologies and their associations with particular super-enhancers. The analysis of mainstream approaches for SE search and prediction allowed us to accumulate existing data and propose directions for further algorithmic improvements of SEs’ reliability levels and efficiency. Thus, here we provide the description of the most robust algorithms such as ROSE, imPROSE, and DEEPSEN and suggest their further use for various research and development tasks. The most promising research direction, which is based on topic and number of published studies, are cancer-associated super-enhancers and prospective SE-targeted therapy strategies, most of which are discussed in this review.
Databáze: Directory of Open Access Journals
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