Cargando…
Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505663/ https://www.ncbi.nlm.nih.gov/pubmed/32956035 http://dx.doi.org/10.7554/eLife.60498 |
_version_ | 1783584861110403072 |
---|---|
author | Pálinkás, Hajnalka L Békési, Angéla Róna, Gergely Pongor, Lőrinc Papp, Gábor Tihanyi, Gergely Holub, Eszter Póti, Ádám Gemma, Carolina Ali, Simak Morten, Michael J Rothenberg, Eli Pagano, Michele Szűts, Dávid Győrffy, Balázs Vértessy, Beáta G |
author_facet | Pálinkás, Hajnalka L Békési, Angéla Róna, Gergely Pongor, Lőrinc Papp, Gábor Tihanyi, Gergely Holub, Eszter Póti, Ádám Gemma, Carolina Ali, Simak Morten, Michael J Rothenberg, Eli Pagano, Michele Szűts, Dávid Győrffy, Balázs Vértessy, Beáta G |
author_sort | Pálinkás, Hajnalka L |
collection | PubMed |
description | 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 via dSTORM microscopy. This approach can be applied to study the dynamic spatio-temporal nature of genomic uracil. |
format | Online Article Text |
id | pubmed-7505663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-75056632020-09-23 Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments Pálinkás, Hajnalka L Békési, Angéla Róna, Gergely Pongor, Lőrinc Papp, Gábor Tihanyi, Gergely Holub, Eszter Póti, Ádám Gemma, Carolina Ali, Simak Morten, Michael J Rothenberg, Eli Pagano, Michele Szűts, Dávid Győrffy, Balázs Vértessy, Beáta G eLife Chromosomes and Gene Expression 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 via dSTORM microscopy. This approach can be applied to study the dynamic spatio-temporal nature of genomic uracil. eLife Sciences Publications, Ltd 2020-09-21 /pmc/articles/PMC7505663/ /pubmed/32956035 http://dx.doi.org/10.7554/eLife.60498 Text en © 2020, Pálinkás et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Chromosomes and Gene Expression Pálinkás, Hajnalka L Békési, Angéla Róna, Gergely Pongor, Lőrinc Papp, Gábor Tihanyi, Gergely Holub, Eszter Póti, Ádám Gemma, Carolina Ali, Simak Morten, Michael J Rothenberg, Eli Pagano, Michele Szűts, Dávid Győrffy, Balázs Vértessy, Beáta G Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title | Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title_full | Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title_fullStr | Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title_full_unstemmed | Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title_short | Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments |
title_sort | genome-wide alterations of uracil distribution patterns in human dna upon chemotherapeutic treatments |
topic | Chromosomes and Gene Expression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505663/ https://www.ncbi.nlm.nih.gov/pubmed/32956035 http://dx.doi.org/10.7554/eLife.60498 |
work_keys_str_mv | AT palinkashajnalkal genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT bekesiangela genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT ronagergely genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT pongorlorinc genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT pappgabor genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT tihanyigergely genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT holubeszter genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT potiadam genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT gemmacarolina genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT alisimak genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT mortenmichaelj genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT rothenbergeli genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT paganomichele genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT szutsdavid genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT gyorffybalazs genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments AT vertessybeatag genomewidealterationsofuracildistributionpatternsinhumandnauponchemotherapeutictreatments |