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Updated: Mar 28, 2026

Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 Kir4.1

Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 Kir4.1

Published on: September 26, 2015

Comparative transcriptomics reveals similarities and differences between astrocytoma grades.

Michael Seifert^1,2,3, Martin Garbe⁴, Betty Friedrich^4,5

¹Innovative Methods of Computing, Center for Information Services and High Performance Computing, Dresden University of Technology, Dresden, Germany. michael.seifert@tu-dresden.de.

|December 18, 2015

Summary

This summary is machine-generated.

This study compares molecular data across four astrocytoma grades, revealing shared and distinct genetic alterations. Findings offer new insights into astrocytoma biology and potential therapeutic targets.

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Published on: August 12, 2014

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Published on: July 31, 2017

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Last Updated: Mar 28, 2026

Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 Kir4.1

Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 Kir4.1

Published on: September 26, 2015

Modeling Astrocytoma Pathogenesis In Vitro and In Vivo Using Cortical Astrocytes or Neural Stem Cells from Conditional, Genetically Engineered Mice

Modeling Astrocytoma Pathogenesis In Vitro and In Vivo Using Cortical Astrocytes or Neural Stem Cells from Conditional, Genetically Engineered Mice

Published on: August 12, 2014

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Published on: July 31, 2017

Area of Science:

Neuro-oncology
Genomics
Systems Biology

Background:

Astrocytomas are primary brain tumors with four distinct histological grades.
Molecular profiling reveals genetic, transcriptomic, and epigenetic changes within each grade.
Understanding grade-specific alterations is key to identifying similarities and differences.

Purpose of the Study:

To compare omics data across all four astrocytoma grades (PA I, AS II, AS III, GBM IV).
To identify similarities and differences in molecular profiles between astrocytoma grades.
To validate key molecular findings, such as Ang2 expression, using immunohistochemistry.

Main Methods:

Utilized public omics data for pilocytic astrocytomas (PA I), diffuse astrocytomas (AS II), anaplastic astrocytomas (AS III), and glioblastomas (GBM IV).
Applied bioinformatics and systems biology approaches to analyze similarities and differences.
Validated Ang2 expression and localization via immunohistochemistry.

Main Results:

Identified grade-specific and shared differentially expressed genes compared to normal brain tissue.
Observed a general increase in differentially expressed genes with higher astrocytoma grade, with exceptions.
Highlighted the cytokine receptor pathway's similar alteration in PA I and GBM IV, with distinct gene enrichments.
Discovered exclusive overexpression of CX3CL1/CX3CR1 in PA I, potentially inhibiting invasive growth.
Linked PA I to the mesenchymal subtype of GBM IV, with micro-environmental factors influencing this phenotype.
Inferred a regulatory network distinguishing PA I from higher grades, involving genes in development, cell cycle, and DNA methylation.

Conclusions:

This study computationally characterizes molecular similarities and differences across all four astrocytoma grades.
Confirmed known and uncovered novel aspects of astrocytoma biology.
Provides a valuable resource for future computational and experimental research in astrocytoma.