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Related Concept Videos

Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
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DNA Microarrays02:34

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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: Apr 30, 2026

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
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Can genome array screening replace FISH as a front-line test in multiple myeloma?

Temenushka Boneva1, Diana Brazma, Katya Gancheva

  • 1Military Medical Academy, Sofia, Bulgaria.

Genes, Chromosomes & Cancer
|April 24, 2014
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Summary

Array comparative genomic hybridization (aCGH) effectively detects genetic imbalances in multiple myeloma (MM). This diagnostic tool aids in risk stratification and monitoring, offering a valuable alternative for MM workup.

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Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Multiple myeloma (MM) is a heterogeneous plasma cell malignancy with complex genetic alterations.
  • Genomic instability and specific aberrations drive MM pathogenesis, influencing clinical outcomes.
  • Accurate genetic profiling is crucial for risk assessment and treatment monitoring in MM patients.

Purpose of the Study:

  • To evaluate the diagnostic utility of array comparative genomic hybridization (aCGH) for detecting genomic imbalances in multiple myeloma.
  • To assess aCGH as a first-tier diagnostic test in the workup of MM.
  • To explore the potential of aCGH for high-risk disease stratification and identification of predictive markers.

Main Methods:

  • Utilized a catalogue version of the Agilent 8x60K oligo-array.
  • Analyzed immuno-magnetically isolated CD138(+) plasma cells from 50 MM patient bone marrow samples.
  • Employed aCGH to detect clonal genomic imbalances.

Main Results:

  • aCGH successfully detected clonal imbalances below established clinical significance thresholds.
  • The study demonstrated aCGH's ability to identify genome-wide aberrations.
  • aCGH offers a cost-neutral alternative to traditional methods like fluorescence in situ hybridization (FISH).

Conclusions:

  • aCGH is a valuable first-tier diagnostic tool for multiple myeloma.
  • Array technology facilitates high-risk MM stratification and provides comprehensive genomic data.
  • aCGH aids in establishing clinically relevant predictive markers for MM management.