Evidence map›Paper›PMID 32956035›Full record

ArticleeLife2020

Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments.

Hajnalka L Pálinkás, Angéla Békési, Gergely Róna, Lőrinc Pongor, Gábor Papp, Gergely Tihanyi, Eszter Holub, Ádám Póti, Carolina Gemma, Simak Ali and 6 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  8. Article
  9. Review
  10. Genome-wide mapping of genomic DNA damage: methods and implications.Cellular and molecular life sciences : CMLS · 2021
    Review
  11. Article
  12. Review
  13. Detection of Genomic Uracil Patterns.International journal of molecular sciences · 2021
    Review
  14. Article
  15. 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

16 authors at 7 institutions in 3 countries.

Hajnalka L PálinkásGenome Metabolism Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Angéla BékésiGenome Metabolism Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0003-2294-3002
Gergely RónaDepartment of Applied Biotechnology and Food Sciences, Budapest University of Technology and Economics, Budapest, Hungary.
Lőrinc PongorCancer Biomarker Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Gábor PappDepartment of Applied Biotechnology and Food Sciences, Budapest University of Technology and Economics, Budapest, Hungary.
Gergely TihanyiGenome Metabolism Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0003-3729-6709
Eszter HolubDepartment of Applied Biotechnology and Food Sciences, Budapest University of Technology and Economics, Budapest, Hungary.
Ádám PótiGenome Stability Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Carolina GemmaDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom.ORCID 0000-0002-4890-9972
Simak AliDepartment of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, United Kingdom.ORCID 0000-0002-1320-0816
Michael J MortenDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, United States.
Eli RothenbergDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, United States.ORCID 0000-0002-1382-1380
Michele PaganoDepartment of Biochemistry and Molecular Pharmacology, New York University School of Medicine, New York, United States.ORCID 0000-0003-3210-2442
Dávid SzűtsGenome Stability Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Balázs GyőrffyCancer Biomarker Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.
Beáta G VértessyGenome Metabolism Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Hungary.ORCID 0000-0002-1288-2982
Budapest University of Technology and Economics · HUHammersmith Hospital · GBHoward Hughes Medical Institute · USInstitute of Molecular Life Sciences · HUNew York University · USSemmelweis University · HUUniversity of Szeged · HU

Funding

F-Box Proteins: Deregulated Cell Cycle Control and Proteolysis in CancerR01CA076584 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI PAGANO, MICHELE · 1998 to 2021
$4.5M
Mechanisms of Human DNA Double-Strand Break Repair via Quantitative Single-Molecule Imaging - Equipment SupplementR35GM134947 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Eli Rothenberg · 2020 to 2026
$3.4M
Regulation of the cell proliferation by CRL ubiquitin ligases-diversity supplementR35GM136250 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MICHELE PAGANO · 2020 to 2026
$2.7M
Single-Molecule Studies of Non-Homologous DNA End JoiningR01GM108119 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ROTHENBERG, ELI · 2015 to 2019
$1.7M
Cancer Research UK C37/A18784NCI NIH HHS R01 CA076584NIGMS NIH HHS R01 GM108119NIGMS NIH HHS R35 GM134947NIGMS NIH HHS R35 GM136250
6 · The paper itself

Abstract

Numerous anti-cancer drugs perturb thymidylate biosynthesis and lead to genomic uracil incorporation contributing to their antiproliferative effect. Still, it is not yet characterized if uracil incorporations have any positional preference. Here, we aimed to uncover genome-wide alterations in uracil pattern upon drug treatments in human cancer cell line models derived from HCT116. We developed a straightforward U-DNA sequencing method (U-DNA-Seq) that was combined with in situ super-resolution imaging. Using a novel robust analysis pipeline, we found broad regions with elevated probability of uracil occurrence both in treated and non-treated cells. Correlation with chromatin markers and other genomic features shows that non-treated cells possess uracil in the late replicating constitutive heterochromatic regions, while drug treatment induced a shift of incorporated uracil towards segments that are normally more active/functional. Data were corroborated by colocalization studies

Indexed as

DNAGenomeUracilAntineoplastic AgentsGenomicsHCT116 CellsHumansMicroscopySequence Analysis, DNAAntineoplastic AgentsDNAUracilanti-cancer drug treatmentchromosomesgene expressiongenome-wide mappinghumansuper-resolution microscopyU-DNA-Sequracil-DNA

Identifiers

PMID32956035
PMCPMC7505663
OpenAlexW3087002672

What OpenQuestion holds

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LicenceCC BY
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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.