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Split-signal FISH for detection of chromosome aberrations in acute lymphoblastic

  • Mirjam van der Burg
  • , TS Poulsen
  • , SP Hunger
  • , Berna Beverloo
  • , EME (Elisabeth) Smit
  • , K Vang Nielsen
  • , Ton Langerak
  • , Jacques Dongen*
  • *Corresponding author for this work
  • DakoCytomation Denmark A/S
  • University of Florida College of Medicine

Research output: Contribution to journal › Article › Academic › peer-review

64 Citations (Scopus)

Abstract

Chromosome aberrations are frequently observed in precursor-B-acute lymphoblastic leukemias (ALL) and T-cell acute lymphoblastic leukemias (T-ALL). These translocations can form leukemia-specific chimeric fusion proteins or they can deregulate expression of an (onco)gene, resulting in aberrant expression or overexpression. Detection of chromosome aberrations is an important tool for risk classification. We developed rapid and sensitive split-signal fluorescent in situ hybridization (FISH) assays for six of the most frequent chromosome aberrations in precursor-B-ALL and T-ALL. The split-signal FISH approach uses two differentially labeled probes, located in one gene at opposite sites of the breakpoint region. Probe sets were developed for the genes TCF3 (E2A) at 19p13, MLL at 11q23, ETV6 at 12p13, BCR at 22q11, SIL-TAL1 at 1q32 and TLX3 (HOX11L2) at 5q35. In normal karyotypes, two colocalized green/red signals are visible, but a translocation results in a split of one of the colocalized signals. Split-signal FISH has three main advantages over the classical fusion-signal FISH approach, which uses two labeled probes located in two genes. First, the detection of a chromosome aberration is independent of the involved partner gene. Second, split-signal FISH allows the identification of the partner gene or chromosome region if metaphase spreads are present, and finally it reduces false-positivity.

Original languageEnglish
Pages (from-to)895-908
Number of pages14
JournalLeukemia
Volume18
Issue number5
DOIs
Publication statusPublished - May 2004

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research programs

  • EMC MGC-01-12-03
  • EMC MGC-02-96-01
  • EMC MM-02-72-03
  • EMC MM-03-24-02

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