Quantitative telomere analysis

Zorić, Doris (2015) Quantitative telomere analysis. Bachelor's thesis, Faculty of Science > Department of Biology.

[img]
Preview
PDF
Language: Croatian

Download (385kB) | Preview

Abstract

Telomere length, just like the dynamics of its shortening, is indicator of the cell age and its replicative potential but also a reliable biomarker for lifespan approximation and the monitoring of aging-related diseases. The results provided by telomere length measurement depend upon the correct and precise quantitative and statistical analysis. Quantitative analysis of telomeres is determine by several methods, among which the most commonly used and most reliable one is terminal restriction fragment (TRF) length analysis by Southern blot. The main disadvantage of the aforementioned method is the fact that it doesn't show the actual telomere length, but the mean terminal fragment with subtelomeric tails for given cell population. Other often applied methods such as the quantitative PCR or Q-PNA-FISH have some advantages compared to Southern blot. Yet, due to significant variation of the results or imposibility of their comparison among different studies these methods are not first choice in fundamental research. Wider knowledge about the single telomere shortening to critical level, when senescence is induced, resulted in increasing effort in creating a more individual approach in telomere measurement. Still, the aggravating circumstance of quantitative telomere analysis is the teleomere property of intrinsic heterogeneity. It is caused by molecular processes at the DNA level, cell level and cell population level. In addition, the methodological limitations add to increased heterogenity of results. Therefore, quantitative analysis unquestionably needs to be accompanied by a statistical analysis and an accurate interpretation of results. Precise telomere analysis results can be applied in cell senescense, studies of various diseases and population lifespan distribution.

Item Type: Thesis (Bachelor's thesis)
Supervisor: Rubelj, Ivica
Date: 2015
Number of Pages: 16
Subjects: NATURAL SCIENCES > Biology
Divisions: Faculty of Science > Department of Biology
Depositing User: Silvana Šehić
Date Deposited: 14 Apr 2016 14:34
Last Modified: 14 Apr 2016 14:34
URI: http://digre.pmf.unizg.hr/id/eprint/4756

Actions (login required)

View Item View Item

Nema podataka za dohvacanje citata