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Updated: Apr 8, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

Microarray Analysis in Glioblastomas.

Kaumudi M Bhawe¹, Manish K Aghi²

¹Graduate Division of Biomedical Sciences (BMS), Department of Neurosurgery and Brain Tumor Research Center, University of California at San Francisco (UCSF), 505 Parnassus Avenue, Room M779, San Francisco, CA, 94143-0112, USA.

Methods in Molecular Biology (Clifton, N.J.)

|June 27, 2015

Summary

This summary is machine-generated.

This study details microarray methods for glioblastoma research, focusing on transcript-based and tissue microarrays. It guides selecting appropriate techniques and analytical strategies for gene expression analysis in brain tumors.

Keywords:

Gene-expression Glioblastoma Microarray

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Area of Science:

Neuro-oncology
Genomics
Biotechnology

Background:

Microarray analysis is crucial for glioblastoma research, utilizing cell lines or patient samples.
Transcript-based and immunohistochemistry (IHC)-based tissue microarrays are preferred for neurological cancers.

Purpose of the Study:

To provide a comprehensive overview of microarray methodologies for glioblastoma.
To guide the selection of appropriate microarray techniques based on research questions.
To outline analytical strategies for interpreting gene expression data in glioblastoma.

Main Methods:

Focuses on transcript-based microarray methodologies and sample preparation.
Discusses the application of microarrays for correlating gene expression with chemotherapy response.
Explores gene expression patterns related to glioblastoma cell proliferation and invasiveness.
Highlights the use of microarrays for discovering new tumor classifications and prognostic markers.

Main Results:

Gene expression signatures can predict glioblastoma response to chemotherapy.
Expression patterns correlate with glioblastoma cell proliferation and invasiveness.
Microarrays aid in developing new glioblastoma classification systems linked to prognosis and treatment.

Conclusions:

Microarray analysis is a versatile tool in glioblastoma research, offering insights into gene expression, classification, and therapeutic strategies.
Proper selection of microarray methodology and analytical approaches is essential for addressing specific research questions in neuro-oncology.