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Related Concept Videos

DNA Microarrays02:34

DNA Microarrays

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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: May 3, 2026

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
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Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

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Reliable single cell array CGH for clinical samples.

Zbigniew T Czyż1, Martin Hoffmann2, Günter Schlimok3

  • 1Experimental Medicine and Therapy Research, University of Regensburg, Regensburg, Germany ; Project Group Personalized Tumor Therapy, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Regensburg, Germany.

Plos One
|January 28, 2014
PubMed
Summary
This summary is machine-generated.

Analyzing single disseminated cancer cells (DCCs) using whole genome amplification reveals their genomic evolution during chemotherapy. Surviving DCCs may originate from less genomically altered cells, offering insights into metastasis and therapy resistance.

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Area of Science:

  • Genomics
  • Cancer Biology
  • Single-cell Analysis

Background:

  • Disseminated cancer cells (DCCs) and circulating tumor cells (CTCs) are rare precursors to metastasis and therapy resistance.
  • Molecular analysis of these cells is crucial for understanding cancer dissemination, metastasis, and treatment escape.

Purpose of the Study:

  • To optimize whole genome amplification (WGA) and aCGH for analyzing structural copy number changes in single DCCs.
  • To enable reliable detection of genomic alterations in single cells for clinical applications.

Main Methods:

  • Utilized Ampli1™ WGA technology and high-resolution oligonucleotide aCGH microarrays.
  • Optimized protocols for analyzing numerical genomic alterations as small as 0.1 Mb in single cells.
  • Validated fixation and staining procedures for clinical usability in DCC analysis.

Main Results:

  • Developed a protocol for reliable detection of genomic alterations in single DCCs.
  • Demonstrated the protocol's quantitative accuracy using cell lines and normal cells.
  • Tracked chromosomal changes in DCCs from a breast cancer patient throughout chemotherapy.

Conclusions:

  • The protocol allows detailed genome analysis of DCCs, assessing clonal evolution under disease progression and treatment pressure.
  • Exemplary patient data suggests surviving DCCs under therapy may arise from genomically less advanced cell populations.
  • Identified a stable subset of genomic alterations in therapy-selected DCCs, providing insights into treatment resistance mechanisms.