Evidence map›Paper›PMID 27865982›Full record

ReviewFree radical biology & medicine2017

Hide and seek: How do DNA glycosylases locate oxidatively damaged DNA bases amidst a sea of undamaged bases?

Andrea J Lee, Susan S Wallace

Abstract readReview
In one paragraph

Review in Free radical biology & medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 57 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.

Andrea J LeeDepartment of Microbiology and Molecular Genetics, The Markey Center for Molecular Genetics, The University of Vermont, 95 Carrigan Drive, Burlington, VT 05405, USA.
Susan S WallaceDepartment of Microbiology and Molecular Genetics, The Markey Center for Molecular Genetics, The University of Vermont, 95 Carrigan Drive, Burlington, VT 05405, USA. Electronic address: Susan.Wallace@uvm.edu.
University of Vermont · US

Funding

SUBSTRATE SPECIFICITY OF THE BER OXIDATIVE DNA GLYCOSYLASESP01CA098993 · NCI · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI LEE, ANDREA J · 2004 to 2021
$25.9M
NCI NIH HHS P01 CA098993
6 · The paper itself

Abstract

The first step of the base excision repair (BER) pathway responsible for removing oxidative DNA damage utilizes DNA glycosylases to find and remove the damaged DNA base. How glycosylases find the damaged base amidst a sea of undamaged bases has long been a question in the BER field. Single molecule total internal reflection fluorescence microscopy (SM TIRFM) experiments have allowed for an exciting look into this search mechanism and have found that DNA glycosylases scan along the DNA backbone in a bidirectional and random fashion. By comparing the search behavior of bacterial glycosylases from different structural families and with varying substrate specificities, it was found that glycosylases search for damage by periodically inserting a wedge residue into the DNA stack as they redundantly search tracks of DNA that are 450-600bp in length. These studies open up a wealth of possibilities for further study in real time of the interactions of DNA glycosylases and other BER enzymes with various DNA substrates.

Indexed as

DNA DamageOxidative StressAnimalsBacterial ProteinsDNADNA GlycosylasesDNA RepairGenetic TestingHumansMicroscopy, FluorescenceOxidation-ReductionSubstrate SpecificityBacterial ProteinsDNADNA GlycosylasesBase excision repairDNA glycosylasesGlycosylase diffusionSearch for radiation damageSingle molecule fluorescenceWedge residue

Identifiers

PMID27865982
PMCPMC5433924
OpenAlexW2553169723

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.