Evidence map›Paper›PMID 31956299›Full record

ArticleBiological procedures online2020

Analytical Validation of Telomere Analysis Technology® for the High-Throughput Analysis of Multiple Telomere-Associated Variables.

Nuria de Pedro, María Díez, Irene García, Jorge García, Lissette Otero, Luis Fernández, Beatriz García, Rut González, Sara Rincón, Diego Pérez and 3 more

Abstract read
In one paragraph

Article in Biological procedures online, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Long-Term Exposure to Nanosized TiOInternational journal of molecular sciences · 2021
    Article
  17. Article
  18. Article
  19. 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

13 authors.

Nuria de PedroLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
María DíezLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Irene GarcíaLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Jorge GarcíaLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Lissette OteroLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Luis FernándezLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Beatriz GarcíaLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Rut GonzálezLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Sara RincónLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Diego PérezLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Estefanía RodríguezLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Enrique SegoviaLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.
Pilar NajarroLife Length SL, Miguel Ángel 11, 28010 Madrid, Spain.ORCID 0000-0001-9918-2737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large number of studies have suggested a correlation between the status of telomeres and disease risk. High-throughput quantitative fluorescence in situ hybridization (HT Q-FISH) is a highly accurate telomere measurement technique that can be applied to the study of large cell populations. Here we describe the analytical performance testing and validation of Telomere Analysis Technology (TAT®), a laboratory-developed HT Q-FISH-based methodology that includes HT imaging and software workflows that provide a highly detailed view of telomere populations.

methodsTAT was developed for the analysis of telomeres in peripheral blood mononuclear cells (PBMCs). TAT was compared with Terminal Restriction Fragment (TRF) length analysis, and tested for accuracy, precision, limits of detection (LOD) and specificity, reportable range and reference range.

resultsUsing 6 different lymphocyte cell lines, we found a high correlation between TAT and TRF for telomere length (R

conclusionsAnalytical validation of TAT shows that is a robust and reliable technique for the characterization of a detailed telomere profile in large cell populations. The combination of high-throughput imaging and software workflows allows for the collection of a large number of telomere-associated variables from each sample, which can then be used in epidemiological and clinical studies.

Indexed as

Analytical validationHT-Q-FISHLaboratory developed test, epidemiologyTelomere length

Identifiers

PMID31956299
PMCPMC6961256

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.