Evidence map›Paper›PMID 34196896›Full record

ReviewMolecular biology reports2021

The advancement of telomere quantification methods.

Albert Dweck, Radhashree Maitra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Repetitive DNA Sequences in the Human Y Chromosome and Male Infertility.Frontiers in cell and developmental biology · 2022
    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

2 authors.

Albert DweckDepartment of Biology, Yeshiva University, 500 W 185th Street, 10033, New York, NY, USA.
Radhashree MaitraDepartment of Biology, Yeshiva University, 500 W 185th Street, 10033, New York, NY, USA. Radhashree.maitra@yu.edu.ORCID http://orcid.org/0000-0002-5365-5890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomeres, guanine rich DNA sequences, which are found at both ends of human chromosomes, play a vital role in genome protection. These repetitive nucleotide sequences protect the genome from nucleolytic degradation, unnecessary recombination, and interchromosomal fusion. Though, as somatic cells go through replication cycles, their telomeres shrink until they reach a critical length called the Hayflick limit. At this limit, cellular senescence, an irreversible cell cycle arrest, is prompted. For all the above reasons, telomere length is a hopeful biomarker for age-associated diseases and cancer. While there are numerous methods for telomere measurement and quantification, there are still challenges for routine analysis in clinics as these methods are not simple and rapid. Recently, a new method has been developed that measures absolute length and absolute quantities of single telomere molecules. This method, single telomere absolute-length rapid (STAR) assay, which promises to measure telomere length rapidly and accurately, is also expected to be scalable. This review will discuss different telomere length measurement methods, including STAR assay, and will highlight each of their advantages and drawbacks. It will culminate in determining if STAR assay has the potential to be the superior method for telomere measurement.

Indexed as

Telomere HomeostasisChromosomal InstabilityDNA ReplicationGenetic TestingHumansIn Situ Hybridization, FluorescenceReal-Time Polymerase Chain ReactionTelomereTelomere ShorteningPCRQuantificationSTAR AssayTelomere

Identifiers

What OpenQuestion holds

Textmetadata
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.