Evidence map›Paper›PMID 30010842›Full record

ArticleNucleic acids research2018

Fluorescence spectroscopic detection and measurement of single telomere molecules.

Cyrus W Beh, Ye Zhang, Yun-Ling Zheng, Bing Sun, Tza-Huei Wang

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

5 authors.

Cyrus W BehDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Ye ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Yun-Ling ZhengDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA.
Bing SunDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20057, USA.
Tza-Huei WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomeres are the end-caps of chromosomes that serve to protect the integrity of the genome. Below certain critical lengths, the telomeres can no longer fulfill their protective function, and chromosomal instability ensues. Telomeres shorten during normal cell division due to the end replication problem and are implicated in the development of various aging-associated diseases, including cancer. Telomere length has the potential to serve as a useful biomarker in the field of aging and cancer. However, existing methods of telomere measurement are either too laborious, unable to provide absolute measurement of individual telomere lengths, or limited to certain chromosomes or cell types. Here, we describe an easy single-molecule, fluorescence spectroscopic method for measuring the length of telomeres that permits the profiling of absolute telomere lengths in any DNA sample. We have demonstrated the accurate detection of telomeres as short as 100 bp using cloned telomere standards, and have profiled telomere lengths in human cancer cell lines and primary cells. Since this method allows direct comparison between samples, it could greatly improve the clinical utility of telomere biomarkers.

Indexed as

AgingCells, CulturedChromosomal InstabilityDNA Mutational AnalysisHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesNeoplasmsNucleic Acid HybridizationPeptide Nucleic AcidsPolymorphism, GeneticReproducibility of ResultsSingle Molecule ImagingSpectrometry, FluorescenceTelomereTelomere HomeostasisPeptide Nucleic Acids

Identifiers

PMID30010842
PMCPMC6212783

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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.