Evidence map›Paper›PMID 28693618›Full record

ArticleBMC research notes2017

Simple and fast quantification of DNA damage by real-time PCR, and its application to nuclear and mitochondrial DNA from multiple tissues of aging zebrafish.

Shusen Zhu, James A Coffman

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Shusen ZhuMDI Biological Laboratory, Salisbury Cove, ME, USA.
James A CoffmanMDI Biological Laboratory, Salisbury Cove, ME, USA. jcoffman@mdibl.org.ORCID http://orcid.org/0000-0001-8536-3844
Mount Desert Island Biological Laboratory · US

Funding

The Maine Biomedical Research Network (INBRE)P20GM103423 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI Dustin Lynn Updike · 2012 to 2026
$60.0M
Understanding the role of thyroid hormone signaling during axolotl limb regenerationP20GM104318 · NIGMS · MOUNT DESERT ISLAND BIOLOGICAL LAB · PI DRUMMOND, IAIN A. · 2013 to 2023
$23.0M
NIGMS NIH HHS P20 GM103423NIGMS NIH HHS P20 GM104318
6 · The paper itself

Abstract

We describe a real-time (rt) PCR-based method of quantifying DNA damage, adapted from the long-run rtPCR method of DNA damage quantification (LORD-Q) developed by Lehle et al. (Nucleic Acids Res 42(6):e41, 2014). We show that semi-long run rtPCR, which generates amplicons half the length of those generated in LORD-Q, provides equivalent sensitivity for detecting low lesion frequencies, and better sensitivity for detecting high frequencies. The smaller amplicon size greatly facilitates PCR optimization and allows greater flexibility in the use of detection dyes, and a modified data analysis method simplifies the calculation of lesion frequency. The method was used to measure DNA damage in the nuclear and mitochondrial genomes of different tissues in zebrafish of different ages. We find that nuclear DNA damage generally increases with age, and that the amount of mitochondrial DNA damage varies substantially between tissues, increasing with age in liver and brain but not in heart or skeletal muscle, the latter having the highest levels of damage irrespective of age.

Indexed as

DNA DamageDNA, MitochondrialAge FactorsAnimalsBrainCell NucleusHeartLiverMuscle, SkeletalReal-Time Polymerase Chain ReactionZebrafishDNA, MitochondrialAgingDNA damageMitochondrialNuclearQuantitative PCRZebrafish

Identifiers

PMID28693618
PMCPMC5504608
OpenAlexW2735840980

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.