Evidence map›Paper›PMID 24366880›Full record

ArticleNucleic acids research2014

TeloTool: a new tool for telomere length measurement from terminal restriction fragment analysis with improved probe intensity correction.

Janett Göhring, Nick Fulcher, Jaroslaw Jacak, Karel Riha

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

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  5. Review
  6. Techniques for assessing telomere length: A methodological review.Computational and structural biotechnology journal · 2024
    Review
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  8. Article
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  17. Identification of the Sequence and the Length of Telomere DNA.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Janett GöhringMax F. Perutz Laboratories, Medical University of Vienna, Vienna 1030, Austria, Gregor Mendel Institute, Vienna 1030, Austria, Institute for Applied Physics, Johannes Kepler University Linz, Linz 4040, Austria and Upper Austria University of Applied Sciences, Campus Linz, Linz 4020, Austria.
Nick Fulcher
Jaroslaw Jacak
Karel Riha

Funding

Austrian Science Fund FWF Y 418
6 · The paper itself

Abstract

Telomeres comprise the protective caps of natural chromosome ends and function in the suppression of DNA damage signaling and cellular senescence. Therefore, techniques used to determine telomere length are important in a number of studies, ranging from those investigating telomeric structure to effects on human disease. Terminal restriction fragment (TRF) analysis has for a long time shown to be one of the most accurate methods for quantification of absolute telomere length and range from a number of species. As this technique centers on standard Southern blotting, telomeric DNA is observed on resulting autoradiograms as a heterogeneous smear. Methods to accurately determine telomere length from telomeric smears have proven problematic, and no reliable technique has been suggested to obtain mean telomere length values. Here, we present TeloTool, a new program allowing thorough statistical analysis of TRF data. Using this new method, a number of methodical biases are removed from previously stated techniques, including assumptions based on probe intensity corrections. This program provides a standardized mean for quick and reliable extraction of quantitative data from TRF autoradiograms; its wide application will allow accurate comparison between datasets generated in different laboratories.

Indexed as

SoftwareTelomere HomeostasisBlotting, SouthernDNA Restriction EnzymesNucleic Acid ProbesTelomereDNA Restriction EnzymesNucleic Acid Probes

Identifiers

PMID24366880
PMCPMC3919618

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.