Quantitative prediction of enhancer-promoter interactions

Polina S. Belokopytova, Miroslav A. Nuriddinov, Evgeniy A. Mozheiko, Daniil Fishman, Veniamin Fishman

Результат исследования: Научные публикации в периодических изданияхстатьярецензирование

10 Цитирования (Scopus)


Recent experimental and computational efforts have provided large data sets describing three-dimensional organization of mouse and human genomes and showed the interconnection between the expression profile, epigenetic state, and spatial interactions of loci. These interconnections were utilized to infer the spatial organization of chromatin, including enhancer-promoter contacts, from one-dimensional epigenetic marks. Here, we show that the predictive power of some of these algorithms is overestimated due to peculiar properties of the biological data. We propose an alternative approach, which provides high-quality predictions of chromatin interactions using information on gene expression and CTCF-binding alone. Using multiple metrics, we confirmed that our algorithm could efficiently predict the three-dimensional architecture of both normal and rearranged genomes.

Язык оригиналаанглийский
Страницы (с-по)72-84
Число страниц13
ЖурналGenome Research
Номер выпуска1
СостояниеОпубликовано - 1 янв 2020


Подробные сведения о темах исследования «Quantitative prediction of enhancer-promoter interactions». Вместе они формируют уникальный семантический отпечаток (fingerprint).