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Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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...
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...
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...

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Related Experiment Video

Updated: May 29, 2026

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

Mutual exclusivity analysis identifies oncogenic network modules.

Giovanni Ciriello1, Ethan Cerami, Chris Sander

  • 1Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.

Genome Research
|September 13, 2011
PubMed
Summary
This summary is machine-generated.

We developed Mutual Exclusivity Modules in cancer (MEMo) to identify cancer gene pathways. MEMo reveals distinct genomic alterations in glioblastoma and ovarian cancer, aiding in understanding cancer development and potential therapies.

Related Experiment Videos

Last Updated: May 29, 2026

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing
09:49

Oncogenic Gene Fusion Detection Using Anchored Multiplex Polymerase Chain Reaction Followed by Next Generation Sequencing

Published on: July 5, 2019

Area of Science:

  • Cancer Genomics
  • Systems Biology
  • Network Medicine

Background:

  • Tumors exhibit diverse genomic alterations, yet these often affect limited biological pathways.
  • Alterations within the same cancer-related pathway typically do not co-occur in the same patient.
  • Current knowledge of oncogenic pathway modules is incomplete.

Purpose of the Study:

  • To systematically identify oncogenic pathway modules using a novel computational method.
  • To analyze genomic alteration patterns in glioblastoma and serous ovarian cancer.

Main Methods:

  • Developed Mutual Exclusivity Modules in cancer (MEMo) algorithm.
  • Utilized correlation analysis and statistical tests to identify network modules based on recurrence, biological process participation, and mutual exclusivity of alterations.
  • Applied MEMo to The Cancer Genome Atlas (TCGA) data.

Main Results:

  • Identified known altered modules in glioblastoma, emphasizing mutual exclusivity in PI(3)K, p53, and Rb pathways.
  • Observed mutual exclusivity between BRCA1/2 inactivation and CCNE1 amplification/RB1 inactivation in serous ovarian cancer.
  • Identified RBBP8 as a candidate oncogene in Rb-mediated cell cycle control.

Conclusions:

  • MEMo effectively identifies oncogenic pathway modules and patterns of mutual exclusivity.
  • Findings suggest distinct mechanisms of genomic instability in ovarian cancer.
  • The method can nominate driver alterations and inform therapeutic combination strategies.