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Related Concept Videos

Alzheimer Disease ll: Pathophysiology01:23

Alzheimer Disease ll: Pathophysiology

Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and microglia. Abnormal...
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Parkinson disease (PD) is a progressive neurodegenerative disorder primarily affecting movement, with additional non-motor features. Its pathophysiology involves complex interactions among genetic susceptibility, environmental exposures, and cellular dysfunction, including dopaminergic neuron loss, protein aggregation, and mitochondrial impairment.Selective NeurodegenerationA key feature is the degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to reduced...

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Related Experiment Video

Updated: Jun 16, 2026

Preparation Of Neovascular Tissues from Human Glioma Tissues for Quantitative Proteomics Analysis of Tumor Angiogenesis
09:33

Preparation Of Neovascular Tissues from Human Glioma Tissues for Quantitative Proteomics Analysis of Tumor Angiogenesis

Published on: March 20, 2026

Glioma pathophysiology: insights emerging from proteomics.

Ruth F Deighton1, Richard McGregor, Jocelyn Kemp

  • 1Department of Clinical Neurosciences, Western General Hospital and Centre for Cognitive and Neural Systems, University of Edinburgh, Scotland, UK. ruth.deighton@ed.ac.uk

Brain Pathology (Zurich, Switzerland)
|February 24, 2010
PubMed
Summary

Proteomics reveals a cohesive protein network in glioblastoma, offering new insights into glioma pathophysiology. Addressing technical limitations is key to fully realizing this technology's potential in cancer research.

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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
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Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
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Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Related Experiment Videos

Last Updated: Jun 16, 2026

Preparation Of Neovascular Tissues from Human Glioma Tissues for Quantitative Proteomics Analysis of Tumor Angiogenesis
09:33

Preparation Of Neovascular Tissues from Human Glioma Tissues for Quantitative Proteomics Analysis of Tumor Angiogenesis

Published on: March 20, 2026

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
06:32

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures

Published on: January 9, 2019

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
09:17

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

Published on: September 13, 2022

Area of Science:

  • Neuro-oncology
  • Proteomics
  • Systems biology

Background:

  • Gliomas are common primary brain tumors, with malignant forms posing significant challenges.
  • Proteomics has identified protein alterations in gliomas, but findings lack consistency and biological validation.
  • Previous proteomic studies in glioma have yielded numerous differentially expressed proteins.

Purpose of the Study:

  • To systematically review proteomic analyses of glioma.
  • To identify consistently altered proteins across multiple studies.
  • To assess protein-protein interactions and construct a glioblastoma-specific protein network.

Main Methods:

  • Systematic review of independent proteomic analyses of glioma.
  • Identification of proteins reported in multiple publications.
  • Network analysis of protein-protein interactions using web-based technology.

Main Results:

  • A review identified 99 differentially expressed proteins in glioma.
  • Ten proteins (e.g., EGFR, GFAP, HSP70) were consistently found across multiple studies.
  • A robust protein interaction network for glioblastoma was revealed, centered around TP53 and RB1.

Conclusions:

  • Network analysis provides a novel perspective on glioma pathophysiology.
  • The identified protein network complements recent genomic findings in malignant glioma.
  • Realizing the potential of proteomics in glioma requires addressing conceptual and technical limitations.