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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: Jun 27, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
07:50

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer

Published on: September 18, 2020

Genome-wide analysis of pancreatic cancer using microarray-based techniques.

Tomohiko Harada1, Claude Chelala, Tatjana Crnogorac-Jurcevic

  • 1Centre for Molecular Oncology, Cancer Research UK, Institute of Cancer, Barts and The London School of Medicine and Dentistry, Queen Mary, University of London, London, UK.

Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]
|December 17, 2008
PubMed
Summary

This study used array comparative genomic hybridization to analyze DNA copy number changes in pancreatic ductal adenocarcinoma. It identified novel candidate oncogenes and tumor suppressor genes, including UQCRB and DLC1, crucial for PDAC development.

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Area of Science:

  • Genomics
  • Cancer Research
  • Bioinformatics

Background:

  • Microarray-based comparative genomic hybridization (CGH) enables high-resolution analysis of cancer genomes.
  • Advancements in bioinformatics enhance the sensitivity of array CGH data analysis.
  • This facilitates the discovery of novel cancer-related genes.

Purpose of the Study:

  • To identify novel regions of genetic alterations in pancreatic ductal adenocarcinoma (PDAC).
  • To discover potential oncogenes and tumor suppressor genes in PDAC.
  • To correlate DNA copy number status with transcript levels for candidate gene identification.

Main Methods:

  • Analysis of 29 PDAC samples (6 cell lines, 23 tissue specimens) using 1-Mb-spaced CGH arrays.
  • Screening of transcript levels for genes within identified regions of genetic alteration using the Pancreatic Expression Database.
  • Identification of minimal common regions of genetic alterations (gains and losses).

Main Results:

  • Identified 315 minimal common regions of genetic alterations (115 gains, 200 losses) in PDAC samples.
  • Small aberration sizes (median 880 kb) reduced candidate genes per region (average 12).
  • Genes with expression levels consistent with copy number status included UQCRB, SQLE, DDEF1, SLA, ERICH1, and DLC1.

Conclusions:

  • Revealed novel genomic regions associated with oncogenes or tumor suppressor genes in PDAC.
  • Provided a list of novel target genes with altered DNA copy numbers affecting transcript levels in PDAC.
  • Highlighted UQCRB, SQLE, DDEF1, SLA, ERICH1, and DLC1 as potential targets for PDAC therapy.