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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Jul 6, 2026

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)
08:30

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

Published on: May 16, 2012

Simultaneously detection of genomic and expression alterations in prostate cancer using cDNA microarray.

Mei Jiang1, Ming Li, Xuping Fu

  • 1State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai, China.

The Prostate
|March 28, 2008
PubMed
Summary

This study integrated genomic and gene expression data to understand prostate cancer development. It identified key genes affected by genomic changes, suggesting their role in prostate carcinogenesis.

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Last Updated: Jul 6, 2026

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)
08:30

MicroRNA Detection in Prostate Tumors by Quantitative Real-time PCR (qPCR)

Published on: May 16, 2012

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Published on: November 2, 2013

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Prostate cancer is a prevalent malignancy in men.
  • Understanding the molecular mechanisms of prostate carcinogenesis remains incomplete.

Purpose of the Study:

  • To screen genomic and gene expression changes in prostate cancer.
  • To integrate comparative genomic hybridization (CGH) and expression profiling data.
  • To identify genes whose expression is affected by genomic aberrations.

Main Methods:

  • cDNA microarray-based comparative genomic hybridization (CGH) and expression profiling were employed.
  • Data integration was performed to correlate genomic alterations with gene expression.
  • Real-time PCR was used for validation of array data.

Main Results:

  • CGH identified recurrent genomic gains and losses in prostate tumors, including novel aberrations like loss at Xq21.33-q22.2.
  • Expression profiling highlighted significant biological processes such as antigen presentation and protein ubiquitination.
  • Integration analysis revealed 53 genes potentially directly affected by genomic aberrations, including Ras superfamily and MHC genes.

Conclusions:

  • Integrating CGH and expression data offers deeper insights than individual analyses.
  • Genomic aberrations may indirectly influence gene expression through a limited number of directly affected genes.
  • These directly impacted genes could play crucial roles in prostate carcinogenesis and warrant further investigation.