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Cancer-Critical Genes II: Tumor Suppressor Genes

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 Genes

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...

Loss of Tumor Suppressor Gene Functions

Loss of Tumor Suppressor Gene Functions

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.
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...

Loss of Tumor Suppressor Gene Functions

Loss of Tumor Suppressor Gene Functions

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.
When the tumor suppressor genes develop mutations or are lost, cells start growing out of control, leading to cancer. However, a single functional copy of the tumor suppressor gene is enough for the cells to maintain their normal functions and cell...

Interactions Between Signaling Pathways

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...

Cancer-Critical Genes I: Proto-oncogenes

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...

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Related Experiment Video

Updated: Jun 26, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

Investigating the interaction between oncogene and tumor suppressor protein.

E Pirogova¹, M Akay, I Cosic

¹School of Electrical and ComputerEngineering, Royal Melbourne Institute of Technology University, Australia. elena.pirogova@rmit.edu.au

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|January 9, 2009

Summary

This study used the Resonant Recognition Model to analyze tumor suppressor genes like p53 and oncogenes. Researchers designed peptide analogs for potential use in anticancer vaccines, aiming to inhibit uncontrolled cell growth.

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Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence

Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jun 26, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence

Methods for Evaluating the Role of c-Fos and Dusp1 in Oncogene Dependence

Published on: January 7, 2019

Area of Science:

Biophysics
Molecular Biology
Cancer Research

Background:

Cancer is characterized by uncontrolled cell growth and lack of differentiation.
Tumor suppressor genes play a crucial role in preventing malignant cell behavior.
Understanding protein interactions is key to developing cancer therapies.

Purpose of the Study:

To investigate the structural and functional relationships of p53, oncogene, and interleukin 2 (IL2) proteins.
To explore the application of the Resonant Recognition Model (RRM) in analyzing these proteins.
To design novel peptide analogs with potential tumor-suppression activity for anticancer vaccine development.

Main Methods:

Utilized the Resonant Recognition Model (RRM), a physico-mathematical approach.
Applied digital signal processing methods for protein analysis.
Designed peptide analogs based on RRM principles.

Main Results:

Established structural and functional insights into p53, oncogene, and IL2 proteins.
Demonstrated the utility of RRM in understanding protein relationships relevant to cancer.
Successfully designed peptide analogs with predicted tumor-suppression-like activity.

Conclusions:

The RRM is a valuable tool for analyzing protein interactions in cancer.
Designed peptide analogs show promise for future anticancer vaccine development.
Further research is warranted to validate the therapeutic potential of these analogs.