Evidence map›Paper›PMID 29116749›Full record

ArticleAnalytical chemistry2017

Direct LC-MS/MS Detection of Guanine Oxidations in Exon 7 of the p53 Tumor Suppressor Gene.

Di Jiang, Spundana Malla, You-Jun Fu, Dharamainder Choudhary, James F Rusling

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2017. 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
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  7. The genomics of oxidative DNA damage, repair, and resulting mutagenesis.Computational and structural biotechnology journal · 2020
    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 at 2 institutions in 2 countries.

Di JiangDepartment of Chemistry, University of Connecticut , Storrs, Connecticut 06269, United States.
Spundana MallaDepartment of Chemistry, University of Connecticut , Storrs, Connecticut 06269, United States.
You-Jun FuDepartment of Chemistry, University of Connecticut , Storrs, Connecticut 06269, United States.
Dharamainder ChoudharyDepartment of Surgery and Neag Cancer Center, UConn Health , Farmington, Connecticut 06032, United States.
James F RuslingDepartment of Chemistry, University of Connecticut , Storrs, Connecticut 06269, United States.ORCID 0000-0002-6117-3306
University of Connecticut · USUConn Health · US

Funding

ELECTROCATALYTIC STUDIES OF TOXIC POLLUTANT ACTIVATIONR01ES003154 · NIEHS · UNIVERSITY OF CONNECTICUT STORRS · PI RUSLING, JAMES F. · 1985 to 2018
$6.1M
NIEHS NIH HHS R01 ES003154
6 · The paper itself

Abstract

Oxidation of DNA by reactive oxygen species (ROS) yields 8-oxo-7,8-dihydroguanosine (8-oxodG) as primary oxidation product, which can lead to downstream G to T transversion mutations. DNA mutations are nonrandom, and mutations at specific codons are associated with specific cancers, as widely documented for the p53 tumor suppressor gene. Here, we present the first direct LC-MS/MS study (without isotopic labeling or hydrolysis) of primary oxidation sites of p53 exon 7. We oxidized a 32 base pair (bp) double-stranded (ds) oligonucleotide representing exon 7 of the p53 gene. Oxidized oligonucleotides were cut by a restriction endonuclease to provide small strands and enable positions and amounts of 8-oxodG to be determined directly by LC-MS/MS. Oxidation sites on the oligonucleotide generated by two oxidants, catechol/Cu

Indexed as

Chromatography, LiquidExonsGenes, p53GuanosineOxidation-ReductionTandem Mass Spectrometry8-hydroxyguanosineGuanosine

Identifiers

PMID29116749
PMCPMC5777150
OpenAlexW2767456245

What OpenQuestion holds

Textmetadata
LicenceTDM
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.