Evidence map›Paper›PMID 25389434›Full record

ReviewFrontiers in genetics2014

High throughput sample processing and automated scoring.

Gunnar Brunborg, Petra Jackson, Sergey Shaposhnikov, Hildegunn Dahl, Amaya Azqueta, Andrew R Collins, Kristine B Gutzkow

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. DNA Damage in Chronic Kidney Disease: Evaluation of Clinical Biomarkers.Oxidative medicine and cellular longevity · 2016
    Review
  10. Article
  11. The comet assay: past, present, and future.Frontiers in genetics · 2015
    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

7 authors.

Gunnar BrunborgDepartment of Chemicals and Radiation, Division of Environmental Medicine, Norwegian Institute of Public Health Oslo, Norway.
Petra JacksonNational Research Centre for the Working Environment Copenhagen, Denmark.
Sergey ShaposhnikovDepartment of Nutrition, University of Oslo Oslo, Norway ; NorGenoTech AS, Skreia Norway.
Hildegunn DahlDepartment of Chemicals and Radiation, Division of Environmental Medicine, Norwegian Institute of Public Health Oslo, Norway.
Amaya AzquetaDepartment of Pharmacology and Toxicology, University of Navarra Pamplona, Spain.
Andrew R CollinsDepartment of Nutrition, University of Oslo Oslo, Norway.
Kristine B GutzkowDepartment of Chemicals and Radiation, Division of Environmental Medicine, Norwegian Institute of Public Health Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comet assay is a sensitive and versatile method for assessing DNA damage in cells. In the traditional version of the assay, there are many manual steps involved and few samples can be treated in one experiment. High throughput (HT) modifications have been developed during recent years, and they are reviewed and discussed. These modifications include accelerated scoring of comets; other important elements that have been studied and adapted to HT are cultivation and manipulation of cells or tissues before and after exposure, and freezing of treated samples until comet analysis and scoring. HT methods save time and money but they are useful also for other reasons: large-scale experiments may be performed which are otherwise not practicable (e.g., analysis of many organs from exposed animals, and human biomonitoring studies), and automation gives more uniform sample treatment and less dependence on operator performance. The HT modifications now available vary largely in their versatility, capacity, complexity, and costs. The bottleneck for further increase of throughput appears to be the scoring.

Indexed as

automated scoringcomet assaygenotoxicityhigh throughputin vivo sample processing

Identifiers

PMID25389434
PMCPMC4211552

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.