Evidence map›Paper›PMID 22954451›Full record

ArticleBMC genetics2012

Empirical evaluation of humpback whale telomere length estimates; quality control and factors causing variability in the singleplex and multiplex qPCR methods.

Morten Tange Olsen, Martine Bérubé, Jooke Robbins, Per J Palsbøll

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

14 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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  7. Article
  8. Evaluating minimally invasive sample collection methods for telomere length measurement.American journal of human biology : the official journal of the Human Biology Council · 2018
    Article
  9. Article
  10. Article
  11. Epigenetic estimation of age in humpback whales.Molecular ecology resources · 2014
    Article
  12. Article
  13. Telomere length varies by DNA extraction method: implications for epidemiologic research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Article
  14. Telomeres and telomere dynamics: relevance to cancers of the GI tract.Expert review of gastroenterology & hepatology · 2013
    Review
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 at 2 institutions in 4 countries.

Morten Tange OlsenEvolutionary Genetics Group, Department of Genetics, Microbiology, and Toxicology, Stockholm University, Stockholm, S-106 91, Sweden. mortentolsen@gmail.com
Martine Bérubé
Jooke Robbins
Per J Palsbøll
Stockholm University · SECenter for Coastal Studies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelomeres, the protective cap of chromosomes, have emerged as powerful markers of biological age and life history in model and non-model species. The qPCR method for telomere length estimation is one of the most common methods for telomere length estimation, but has received recent critique for being too error-prone and yielding unreliable results. This critique coincides with an increasing awareness of the potentials and limitations of the qPCR technique in general and the proposal of a general set of guidelines (MIQE) for standardization of experimental, analytical, and reporting steps of qPCR. In order to evaluate the utility of the qPCR method for telomere length estimation in non-model species, we carried out four different qPCR assays directed at humpback whale telomeres, and subsequently performed a rigorous quality control to evaluate the performance of each assay.

resultsPerformance differed substantially among assays and only one assay was found useful for telomere length estimation in humpback whales. The most notable factors causing these inter-assay differences were primer design and choice of using singleplex or multiplex assays. Inferred amplification efficiencies differed by up to 40% depending on assay and quantification method, however this variation only affected telomere length estimates in the worst performing assays.

conclusionOur results suggest that seemingly well performing qPCR assays may contain biases that will only be detected by extensive quality control. Moreover, we show that the qPCR method for telomere length estimation can be highly precise and accurate, and thus suitable for telomere measurement in non-model species, if effort is devoted to optimization at all experimental and analytical steps. We conclude by highlighting a set of quality controls which may serve for further standardization of the qPCR method for telomere length estimation, and discuss some of the factors that may cause variation in qPCR experiments.

Indexed as

AnimalsDNA PrimersHumpback WhaleQuality ControlReal-Time Polymerase Chain ReactionReference StandardsTelomereDNA Primers

Identifiers

PMID22954451
PMCPMC3489520
OpenAlexW1996451204

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.