Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification

Deep learning deciphers the related role of master regulators and G-quadruplexes in tissue specification

Abstract G-quadruplexes (GQs) are non-canonical DNA structures encoded by G-flipons with potential roles in gene regulation and chromatin structure. Here, we explore the role of G-flipons in tissue specification. We present a deep learning-based framework for the genome-wide G-flipon predictions acr...

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Bibliographic Details
Main Authors: Artem Bashkatov, Andrey Andreasyan, Dmitry Konovalov, Alan Herbert, Maria Poptsova
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
G-quadruplex
Flipons
R-loops
Tissue differentiation
Chromatin
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-07579-1
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https://doi.org/10.1038/s41598-025-07579-1

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