Back to search

Article

H3K4-H3K9 Histone Methylation Patterns and Oncofetal Developmental Networks as Drivers of Cell Fate Decisions in Pediatric High-Grade Gliomas

2024-12-30

Abstract excerpt

<h4>ABSTRACT</h4> This study employs systems medicine approaches, including complex networks and machine learning-driven discovery, to identify key biomarkers governing phenotypic plasticity in pediatric high-grade gliomas (pHGGs), namely, IDHWT glioblastoma and H3K27M diffuse intrinsic pontine glioma (DIPG). By integrating single-cell transcriptomics and histone mass cytometry data, we conceptualize these aggres...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
4de47dd8-8d38-5e56-b112-28b18089182f
DOI
10.1101/2024.12.29.630486
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
H3K4-H3K9 Histone Methylation Patterns and Oncofetal Developmental Networks as Drivers of Cell Fate Decisions in Pediatric High-Grade GliomasDOI 10.1101/2024.12.29.630486
Select a neighboring publication to make it the new centre.