Telomere Analysis

Telomere Analysis

Telomere Analysis

Predictive Medicine via Telomere Analysis

GenASIs FISH products provides solutions for clinical and research needs in FISH nuclei and metaphase analysis. When focusing on research applications and signal (telomere) quantification specifically, there are two relevant products you may take into consideration:

  • FISHView – provides the user with the ability to quantitate signals within metaphases. It is a “Per-cell / Per metaphase” application.
  • SpotScan – provides the user with the ability to quantitate signals within nuclei, over a region of interest within the slide. The system provides statistics over thousands of scanned cells within the reviewed region. Information like number of signals per cell, size and intensity of signals, and even signals’ shape are all just a small list of the available values for which full quantitative information is available. Data is exported in Excel-ready files.

Telomere dysfunction in aging cells and in cancer

One of the unique research projects conducted with GenASIs involved a study of telomere length and its correlation with different diseases.

Researchers are using ASI’s computerized 3D telomere analysis solution for companion diagnostics by comparing telomere length, number, nuclear volume and more in correlation to the number of tumor cells.

In the science of telomere analysis, fluorescent technology is used for identifying signals and their intensity, as well as the existence of aggregates within the nucleus. A 3D scan is used to enumerate and quantitate cells and signals in tissue and non-tissue samples.

(Metaphase telomeres of mouse – Image courtesy of Alexandra Kuzyk from Manitoba Institute of Cell Biology)

The research project’s focus was on the initiation and progression of genomic instability in cancer. Telomere dysfunction was investigated using metaphase chromosomes and interphase nuclei, single cells and tissues. The group has demonstrated and quantified that the 3D organization of telomeres is different in normal and tumor cells, that it allows for the identification of tumor cell subpopulations, patient subgroups and that it is altered during aging.