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OKseqHMM: a genome-wide replication fork directionality analysis toolkit

During each cell division, tens of thousands of DNA replication origins are co-ordinately activated to ensure the complete duplication of the human genome. However, replication fork progression can be challenged by many factors, including co-directional and head-on transcription-replication conflict...

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Autores principales: Liu, Yaqun, Wu, Xia, d’Aubenton-Carafa, Yves, Thermes, Claude, Chen, Chun-Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976876/
https://www.ncbi.nlm.nih.gov/pubmed/36629249
http://dx.doi.org/10.1093/nar/gkac1239
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author Liu, Yaqun
Wu, Xia
d’Aubenton-Carafa, Yves
Thermes, Claude
Chen, Chun-Long
author_facet Liu, Yaqun
Wu, Xia
d’Aubenton-Carafa, Yves
Thermes, Claude
Chen, Chun-Long
author_sort Liu, Yaqun
collection PubMed
description During each cell division, tens of thousands of DNA replication origins are co-ordinately activated to ensure the complete duplication of the human genome. However, replication fork progression can be challenged by many factors, including co-directional and head-on transcription-replication conflicts (TRC). Head-on TRCs are more dangerous for genome integrity. To study the direction of replication fork movement and TRCs, we developed a bioinformatics toolkit called OKseqHMM (https://github.com/CL-CHEN-Lab/OK-Seq, https://doi.org/10.5281/zenodo.7428883). Then, we used OKseqHMM to analyse a large number of datasets obtained by Okazaki fragment sequencing to directly measure the genome-wide replication fork directionality (RFD) and to accurately predict replication initiation and termination at a fine resolution in organisms including yeast, mouse and human. We also successfully applied our analysis to other genome-wide sequencing techniques that also contain RFD information (e.g. eSPAN, TrAEL-seq). Our toolkit can be used to predict replication initiation and fork progression direction genome-wide in a wide range of cell models and growth conditions. Comparing the replication and transcription directions allows identifying loci at risk of TRCs, particularly head-on TRCs, and investigating their role in genome instability by checking DNA damage data, which is of prime importance for human health.
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spelling pubmed-99768762023-03-02 OKseqHMM: a genome-wide replication fork directionality analysis toolkit Liu, Yaqun Wu, Xia d’Aubenton-Carafa, Yves Thermes, Claude Chen, Chun-Long Nucleic Acids Res Methods Online During each cell division, tens of thousands of DNA replication origins are co-ordinately activated to ensure the complete duplication of the human genome. However, replication fork progression can be challenged by many factors, including co-directional and head-on transcription-replication conflicts (TRC). Head-on TRCs are more dangerous for genome integrity. To study the direction of replication fork movement and TRCs, we developed a bioinformatics toolkit called OKseqHMM (https://github.com/CL-CHEN-Lab/OK-Seq, https://doi.org/10.5281/zenodo.7428883). Then, we used OKseqHMM to analyse a large number of datasets obtained by Okazaki fragment sequencing to directly measure the genome-wide replication fork directionality (RFD) and to accurately predict replication initiation and termination at a fine resolution in organisms including yeast, mouse and human. We also successfully applied our analysis to other genome-wide sequencing techniques that also contain RFD information (e.g. eSPAN, TrAEL-seq). Our toolkit can be used to predict replication initiation and fork progression direction genome-wide in a wide range of cell models and growth conditions. Comparing the replication and transcription directions allows identifying loci at risk of TRCs, particularly head-on TRCs, and investigating their role in genome instability by checking DNA damage data, which is of prime importance for human health. Oxford University Press 2023-01-11 /pmc/articles/PMC9976876/ /pubmed/36629249 http://dx.doi.org/10.1093/nar/gkac1239 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Liu, Yaqun
Wu, Xia
d’Aubenton-Carafa, Yves
Thermes, Claude
Chen, Chun-Long
OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title_full OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title_fullStr OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title_full_unstemmed OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title_short OKseqHMM: a genome-wide replication fork directionality analysis toolkit
title_sort okseqhmm: a genome-wide replication fork directionality analysis toolkit
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976876/
https://www.ncbi.nlm.nih.gov/pubmed/36629249
http://dx.doi.org/10.1093/nar/gkac1239
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