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The Retinoblastoma Gene

The Retinoblastoma Gene

Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
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Related Experiment Video

Updated: Jun 18, 2026

Isolation, Enrichment, and Maintenance of Medulloblastoma Stem Cells

Isolation, Enrichment, and Maintenance of Medulloblastoma Stem Cells

Published on: September 1, 2010

A transcriptome-based classifier to determine molecular subtypes in medulloblastoma.

Komal S Rathi^1,2,3, Sherjeel Arif^1,2,3, Mateusz Koptyra^1,3

¹Center for Data-Driven Discovery in Biomedicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America.

Plos Computational Biology

|October 29, 2020

Summary

A new transcriptomic classifier accurately identifies medulloblastoma molecular subtypes in children. This tool aids researchers and clinicians in classifying this pediatric brain tumor, improving diagnostic precision.

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Published on: February 22, 2015

Area of Science:

Oncology
Genomics
Bioinformatics

Background:

Medulloblastoma is a heterogeneous pediatric brain tumor with five WHO-defined molecular subtypes.
Current classification relies on immunostaining, methylation, or genetic analysis.

Purpose of the Study:

To develop and validate a robust transcriptomic classifier for medulloblastoma molecular subtypes.
To create an accessible R package and Shiny Application for user-friendly classification.

Main Methods:

Literature survey to identify RNA-Seq and microarray datasets.
Development of a classifier using gene ratios from a composite microarray and RNA-Seq datasets.
Utilized limma R package for feature identification and normalized scores for classification.

Main Results:

The classifier achieved a median accuracy of 97.8% across 15 independent datasets.
Minimum accuracy was 85.71%, with 100% accuracy in four datasets.
Most misclassifications occurred between Group 3 and Group 4 subtypes.

Conclusions:

A robust transcriptomic classifier for medulloblastoma subtypes has been developed.
The R package and Shiny Application provide accessible tools for classification.
This classifier is expected to have broad applicability in cancer research and clinical settings.