Evidence map›Paper›PMID 31230075›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2019

Bending of DNA duplexes with mutation motifs.

Michal Růžička, Přemysl Souček, Petr Kulhánek, Lenka Radová, Lenka Fajkusová, Kamila Réblová

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Michal RůžičkaCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Přemysl SoučekCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Petr KulhánekCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Lenka RadováCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Lenka FajkusováCentre of Molecular Biology and Gene Therapy, University Hospital Brno, Brno, Czech Republic.
Kamila RéblováCEITEC - Central European Institute of Technology, Masaryk University, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations can be induced by environmental factors but also arise spontaneously during DNA replication or due to deamination of methylated cytosines at CpG dinucleotides. Sites where mutations occur with higher frequency than would be expected by chance are termed hotspots while sites that contain mutations rarely are termed coldspots. Mutations are permanently scanned and repaired by repair systems. Among them, the mismatch repair targets base pair mismatches, which are discriminated from canonical base pairs by probing altered elasticity of DNA. Using biased molecular dynamics simulations, we investigated the elasticity of coldspots and hotspots motifs detected in human genes associated with inherited disorders, and also of motifs with Czech population hotspots and de novo mutations. Main attention was paid to mutations leading to G/T and A+/C pairs. We observed that hotspots without CpG/CpHpG sequences are less flexible than coldspots, which indicates that flexible sequences are more effectively repaired. In contrary, hotspots with CpG/CpHpG sequences exhibited increased flexibility as coldspots. Their mutability is more likely related to spontaneous deamination of methylated cytosines leading to C > T mutations, which are primarily targeted by base excision repair. We corroborated conclusions based on computer simulations by measuring melting curves of hotspots and coldspots containing G/T mismatch.

Indexed as

Molecular Dynamics SimulationMutationNucleotide MotifsCpG IslandsDNAHumansDNADNA bendingfree energy calculationshotspots–coldspotsmutationsMuts protein

Identifiers

PMID31230075
PMCPMC6704406

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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.