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Related Concept Videos

Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...

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Related Experiment Video

Updated: May 24, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

A semantic web framework to integrate cancer omics data with biological knowledge.

Matthew E Holford, Jamie P. McCusker, Kei-Hoi Cheung

    BMC Bioinformatics
    |March 1, 2012
    PubMed
    Summary

    This study integrates diverse biological data using semantic models to investigate cancer therapy resistance. Researchers found Decitabine likely fights cancer by activating the apoptosis pathway in sensitive cell lines.

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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Genomics
    • Translational Medicine

    Background:

    • Semantic models, built from RDF triples, unify diverse biological data.
    • Semantic Web technologies enable integration of high-throughput clinical and biological data.
    • Corvus data warehouse extended with a SPARQL endpoint for querying Omics data.

    Purpose of the Study:

    • To integrate genomic, transcriptomic, epigenomic, and functional data for translational medicine research.
    • To investigate cancer cell response to Decitabine therapy by exploring resistance mechanisms.
    • To develop a framework for generating testable hypotheses at the intersection of molecular state and therapeutic response.

    Main Methods:

    • Merged semantic models of Omics data (genomic, transcriptomic, epigenomic) from melanoma samples.
    • Integrated functional data from Gene Ontology (GO) and regulatory networks.
    • Utilized SPARQL endpoint and Semantic Web querying/reasoning tools to explore quantitative semantic models.

    Main Results:

    • Developed integrated semantic models combining quantitative and functional biological data.
    • Explored the interplay between cellular molecular state and response to Decitabine, a demethylating agent.
    • Identified potential mechanisms of Decitabine resistance in cancer cells.

    Conclusions:

    • Generated a testable hypothesis: Decitabine targets apoptosis-related gene promoters in sensitive cell lines, activating apoptosis.
    • Demonstrated a framework for developing similar hypotheses regarding cancer therapy response.
    • Highlighted the utility of semantic models and Semantic Web technology in advancing cancer research and drug discovery.