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Modified Terminal Restriction Fragment Analysis for Quantifying Telomere Length Using In-gel Hybridization
Published on: July 10, 2017
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Modified Terminal Restriction Fragment Analysis for Quantifying Telomere Length Using In-gel Hybridization
Frank J Jenkins1, Charles M Kerr2, Elise Fouquerel3
1Departments of Pathology and Infectious Diseases and Microbiology, University of Pittsburgh; University of Pittsburgh Cancer Institute; fjenkins@pitt.edu.
Journal of Visualized Experiments : Jove
|July 18, 2017
Summary
This study details a modified DNA hybridization method for measuring telomere length, offering improved signal intensity and avoiding DNA loss. This technique provides accurate telomere length distribution in kilobases for cell populations.
Area of Science:
- Molecular Biology
- Genetics
Background:
- Telomere length is a critical biomarker in cellular aging and disease.
- Traditional Telomere Restriction Fragment (TRF) analysis has limitations regarding DNA quantity and potential sample loss.
Purpose of the Study:
- To present a modified, in situ DNA hybridization procedure for accurate telomere length measurement.
- To improve upon existing TRF analysis methods for enhanced signal intensity and reduced DNA loss.
Main Methods:
- Genomic DNA is digested, separated by agarose gel electrophoresis, and dried.
- In situ hybridization with a radiolabeled oligonucleotide probe is performed directly on the gel.
- Telomere length is quantified using phosphor screens and graphing software.
Main Results:
- The modified in situ hybridization procedure enhances signal intensity.
- This method minimizes telomere DNA loss during the process.
- It allows for the measurement of telomere length distribution in absolute kilobases.
Conclusions:
- The described modified TRF analysis is a robust method for precise telomere length determination.
- This technique offers advantages over traditional methods, particularly in signal quality and DNA preservation.
- The procedure is suitable for analyzing telomere length distribution in cell populations.
