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Related Concept Videos

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.
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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

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mTOR Signaling and Cancer Progression03:03

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The mammalian target of rapamycin or mTOR protein was discovered in 1994 due to its direct interaction with rapamycin. The protein gets its name from a yeast homolog called TOR. The mTOR protein complex in mammalian cells plays a major role in balancing anabolic processes such as the synthesis of proteins, lipids, and nucleotides and catabolic processes, such as autophagy in response to environmental cues, such as availability of nutrients and growth factors.
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mTOR Signaling and Cancer Progression03:03

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Related Experiment Videos

REGγ is associated with multiple oncogenic pathways in human cancers.

Jing He1, Long Cui, Yu Zeng

  • 1Institute of Biomedical Sciences, East China Normal University, Shanghai, China.

BMC Cancer
|February 25, 2012
PubMed
Summary

Proteasome activator REGγ is overexpressed in four cancer types, linking it to cancer pathways like p53 and Myc. This suggests REGγ

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Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Recent research implicates the proteasome activator REGγ in cancer progression.
  • Limited knowledge exists regarding REGγ targets and its association with specific cancers and molecular pathways.

Purpose of the Study:

  • To investigate the expression profile of REGγ across various cancer types.
  • To identify cancer-related pathways associated with REGγ.
  • To explore REGγ as a potential biomarker for cancer.

Main Methods:

  • Immunohistochemistry (IHC) was used to analyze REGγ protein expression in four cancer types.
  • Meta-analysis of public microarray data (GEO database) and statistical analysis identified differential REGγ expression.
  • Pearson's correlation coefficient and Ingenuity Core analysis identified genes correlated with REGγ and their functional pathways.
  • RT-PCR and IHC validated findings in cell lines and human colon cancer tissues.

Main Results:

  • Overexpression of REGγ was confirmed in four distinct cancer types via micro-tissue array analysis.
  • Meta-analysis of public data corroborated elevated REGγ gene expression in these cancers.
  • Genes significantly correlated with REGγ included those in the p53 and Myc pathways, among others.
  • Quantitative RT-PCR results largely supported the predicted correlations.

Conclusions:

  • This study reveals novel insights into REGγ gene expression patterns and its association with multiple cancer-related pathways.
  • The findings suggest significant pathogenic roles for REGγ in various cancers.
  • REGγ is implicated as a potential diagnostic or prognostic marker for cancer.