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Cancer-Critical Genes I: Proto-oncogenes

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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.
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Cancer-Critical Genes I: Proto-oncogenes

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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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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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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

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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

GCOD - GeneChip Oncology Database.

Fenglong Liu¹, Joseph A White, Corina Antonescu

¹Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.

BMC Bioinformatics

|February 5, 2011

Summary

This summary is machine-generated.

This study created the GeneChip Oncology Database, a centralized resource for accessing and analyzing human cancer gene expression data from Affymetrix GeneChip studies. It offers an intuitive interface for researchers to explore this valuable cancer research data.

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Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

DNA microarrays are widely used in human disease research, particularly in oncology.
Numerous cancer gene expression studies and profiles are publicly available.
Effective access and utilization of this vast cancer data present a significant challenge.

Purpose of the Study:

To consolidate and enhance accessibility of human cancer gene expression datasets.
To create a standardized and searchable resource for cancer research.

Main Methods:

Collected and annotated published human cancer gene expression datasets from the Affymetrix GeneChip platform.
Implemented consistent data normalization and transformation protocols for inter-dataset comparison.
Applied stringent quality control to identify and flag low-quality experimental assays.

Main Results:

Developed the GeneChip Oncology Database, a curated collection of cancer gene expression profiles.
Ensured accurate sample annotation for improved data interpretation.
Established a reliable dataset by filtering out low-quality assays.

Conclusions:

The GeneChip Oncology Database provides a publicly accessible website for cancer research.
The database features an intuitive interface with query options and analytical tools.
Facilitates easier access and analysis of extensive human cancer gene expression data.