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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...
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...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...

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Related Experiment Video

Updated: May 14, 2026

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
06:31

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome

Published on: March 24, 2023

SurfaceomeDB: a cancer-orientated database for genes encoding cell surface proteins.

Jorge Estefano Santana de Souza1, Pedro Alexandre Favoretto Galante, Renan Valieris Bueno de Almeida

  • 1Ludwig Institute for Cancer Research, São Paulo Branch at Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.

Cancer Immunity
|February 8, 2013
PubMed
Summary

SurfaceomeDB integrates cell surface protein data, offering a valuable resource for discovering diagnostic and therapeutic targets. This comprehensive database aids researchers in exploring gene expression, mutations, and interactions for human cell surface proteins.

Keywords:
SurfaceomeDBcell surface proteinsgene library

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

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Last Updated: May 14, 2026

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
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Published on: March 24, 2023

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
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Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer

Published on: January 12, 2020

Area of Science:

  • Biochemistry
  • Genomics
  • Bioinformatics

Background:

  • Cell surface proteins (CSPs) represent a significant portion (10-20%) of human genes.
  • CSPs are crucial targets for developing diagnostic and therapeutic reagents.
  • Publicly available data on CSPs is fragmented across various repositories.

Purpose of the Study:

  • To create a centralized, integrated database for all human genes encoding cell surface proteins.
  • To provide a user-friendly platform for accessing comprehensive CSP data.
  • To facilitate research in diagnostics and therapeutics by consolidating relevant information.

Main Methods:

  • Development of SurfaceomeDB, a gene-centered relational database.
  • Integration of diverse data types including gene expression, protein domains, somatic mutations, and protein-protein interactions.
  • Implementation of a web interface for searching by gene name, annotation, or keywords.

Main Results:

  • SurfaceomeDB successfully integrates comprehensive data for human CSPs.
  • The database offers streamlined graphical representations of data.
  • Direct links to major repositories like NCBI, UCSC Genome Browser, and EBI are provided.

Conclusions:

  • SurfaceomeDB serves as a valuable, integrated resource for cell surface protein research.
  • The database enhances the discovery of potential diagnostic and therapeutic targets.
  • It simplifies access to complex data, supporting advancements in personalized medicine and drug development.