| Signal modelization for improved precision of assessment of minimum and mean telomere lengths. | |
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MedLine Citation:
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PMID: 18081200 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Elodie Ponsot; Fawzi Kadi |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Electrophoresis Volume: 29 ISSN: 0173-0835 ISO Abbreviation: Electrophoresis Publication Date: 2008 Jan |
Date Detail:
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Created Date: 2008-03-03 Completed Date: 2008-05-15 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8204476 Medline TA: Electrophoresis Country: Germany |
Other Details:
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Languages: eng Pagination: 542-4 Citation Subset: IM |
Affiliation:
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Department of Clinical Medicine, Orebro University, Orebro, Sweden. elodie.ponsot@ikm.oru.se |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Automatic Data Processing Blotting, Southern / methods Muscle, Skeletal / chemistry Telomere / chemistry* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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