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Signal modelization for improved precision of assessment of minimum and mean telomere lengths
Örebro University, School of Health and Medical Sciences. (Muscle & Exercise Physiology Research Group , RISPA)ORCID iD: 0000-0002-8071-4745
Örebro University, School of Health and Medical Sciences. (Muscle & Exercise Physiology Research Group , RISPA)ORCID iD: 0000-0002-9831-0896
2008 (English)In: Electrophoresis, ISSN 0173-0835, E-ISSN 1522-2683, Vol. 29, no 2, p. 542-544Article in journal (Refereed) Published
Abstract [en]

Telomere length is an important measure of cell and tissue regenerative capacities. The mean telomere length is classically used as global indicator of a tissue telomere length. In skeletal muscle, which is made of postmitotic myonuclei and satellite cells (muscle stem cells), minimum telomere length is also used to assess the telomere length of satellite cells and newly incorporated myonuclei. At present, the estimation of the method reproducibility during the assessment of mean and minimum telomere length using Southern blot analysis has never been documented. The aim of this report is to describe a signal modelization for improved precision of assessment of minimum and mean telomere lengths and to document the method reproducibility. Telomeres are assessed using a Southern technique where the gel is directly hybridized with the specific probe without the membrane-transferring step in order to prevent telomeric low signal loss. We found that the improved signal analysis for determination of telomere length is associated with coefficients of variation ranging from 1.37 to 4.29% for the mean telomeric restriction fragment (TRF) length and from 2.04 to 4.95% for the minimum TRF length. Improved method reproducibility would allow saving time and biological material as duplicate and triplicate measurement of the same sample is no longer required.

Place, publisher, year, edition, pages
2008. Vol. 29, no 2, p. 542-544
Keywords [en]
Automatic Data Processing, Blotting; Southern/methods, Muscle; Skeletal/chemistry, Telomere/*chemistry
National Category
Physiology Medical and Health Sciences Social Sciences Interdisciplinary Sport and Fitness Sciences
Research subject
Sports Science
Identifiers
URN: urn:nbn:se:oru:diva-4611DOI: 10.1002/elps.200700290PubMedID: 18081200OAI: oai:DiVA.org:oru-4611DiVA, id: diva2:138910
Available from: 2008-09-25 Created: 2008-09-25 Last updated: 2018-01-13Bibliographically approved

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Publisher's full textPubMedhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Retrieve&list_uids=18081200&dopt=Citation

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Ponsot, ElodieKadi, Fawzi

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