Browse
Submit Data
Databases
API
Help

Dataset Information

35 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA molecular combing-based replication fork directionality profiling.

ABSTRACT: The replication strategy of metazoan genomes is still unclear, mainly because definitive maps of replication origins are missing. High-throughput methods are based on population average and thus may exclusively identify efficient initiation sites, whereas inefficient origins go undetected. Single-molecule analyses of specific loci can detect both common and rare initiation events along the targeted regions. However, these usually concentrate on positioning individual events, which only gives an overview of the replication dynamics. Here, we computed the replication fork directionality (RFD) profiles of two large genes in different transcriptional states in chicken DT40 cells, namely untranscribed and transcribed DMD and CCSER1 expressed at WT levels or overexpressed, by aggregating hundreds of oriented replication tracks detected on individual DNA fibres stretched by molecular combing. These profiles reconstituted RFD domains composed of zones of initiation flanking a zone of termination originally observed in mammalian genomes and were highly consistent with independent population-averaging profiles generated by Okazaki fragment sequencing. Importantly, we demonstrate that inefficient origins do not appear as detectable RFD shifts, explaining why dispersed initiation has remained invisible to population-based assays. Our method can both generate quantitative profiles and identify discrete events, thereby constituting a comprehensive approach to study metazoan genome replication.

SUBMITTER: Blin M

PROVIDER: S-EPMC8266662 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

DNA molecular combing-based replication fork directionality profiling

Project description:The replication strategy of metazoan genomes is still unclear, mainly because definitive maps of replication origins are missing. High-throughput methods are based on population average and thus may exclusively identify efficient initiation sites, whereas ineffective origins go undetected. Single-molecule analyses of specific loci can detect both common and rare initiation events along the targeted regions. However, these usually concentrate on positioning individual events, which only gives an overview of the replication dynamics. Here, we computed the replication fork directionality (RFD) profiles of two large genes in different transcriptional states in chicken DT40 cells, namely untranscribed and transcribed DMD and CCSER1 expressed at WT levels or overexpressed, by aggregating hundreds of oriented replication tracks detected on individual DNA fibres stretched by molecular combing. These profiles reconstituted RFD domains composed of zones of initiation flanking a zone of termination originally observed in mammalian genomes and were highly consistent with independent population-averaging profiles generated by Okazaki fragment sequencing (OK-seq). Importantly, we demonstrate that inefficient origins do not manifest as detectable RFD shifts, explaining why dispersed initiation has remained invisible to population-based assays. Our method can both generate quantitative profiles and identify discrete events, thereby constituting a comprehensive approach to study metazoan genome replication.

2021-03-16 | GSE164252 | GEO

DNA molecular combing-based replication fork directionality profiling

Project description:DNA molecular combing-based replication fork directionality profiling

| PRJNA689720 | ENA

OKseqHMM: a genome-wide replication fork directionality analysis toolkit.

Project 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.

| S-EPMC9976876 | biostudies-literature

OKseqHMM: a genome-wide replication fork directionality analysis toolkit

Project description:During each cell division, tens of thousands of DNA replication origins are coordinately activated to ensure the complete duplication of the entire human genome. However, the progression of replication forks can be challenged by numerous factors. One such factor is transcription-replication conflict (TRC), which can either be co-directional or head-on and the latter has been revealed as more dangerous for genome integrity. In order to study the direction of replication fork movement and TRC, we developed a bioinformatics tool, called OKseqHMM, to direct measure the replication fork directionality (RFD) as well as replication initiation and termination, along human genome obtained by sequencing of Okazaki fragments (OK-Seq) and related techniques. We have gathered and analyzed OK-seq data from a large number of organisms including yeast, mouse and human, to generate high-quality RFD profiles and determine initiation zones and termination zones by using Hidden Markov Model (HMM) algorithm (all tools and data are available at https://github.com/CL-CHEN-Lab/OK-Seq). In addition, we have extended our analysis to data obtained by related techniques, such as eSPAN and TrAEL-seq, which also contain RFD information. Our works, therefore, provide an important tool and resource for the community to further study TRC and genome instability, in a wide range of cell line models and growth conditions, which is of prime importance for human health.

2022-12-31 | GSE193547 | GEO

Model-based analysis of DNA replication profiles: predicting replication fork velocity and initiation rate by profiling free-cycling cells.

Project description:Eukaryotic cells initiate DNA synthesis by sequential firing of hundreds of origins. This ordered replication is described by replication profiles, which measure the DNA content within a cell population. Here, we show that replication dynamics can be deduced from replication profiles of free-cycling cells. While such profiles lack explicit temporal information, they are sensitive to fork velocity and initiation capacity through the passive replication pattern, namely the replication of origins by forks emanating elsewhere. We apply our model-based approach to a compendium of profiles that include most viable budding yeast mutants implicated in replication. Predicted changes in fork velocity or initiation capacity are verified by profiling synchronously replicating cells. Notably, most mutants implicated in late (or early) origin effects are explained by global modulation of fork velocity or initiation capacity. Our approach provides a rigorous framework for analyzing DNA replication profiles of free-cycling cells.

| S-EPMC5287236 | biostudies-literature

Monitoring genome-wide replication fork directionality by Okazaki fragment sequencing in mammalian cells.

Project description:The ability to monitor DNA replication fork directionality at the genome-wide scale is paramount for a greater understanding of how genetic and environmental perturbations can impact replication dynamics in human cells. Here we describe a detailed protocol for isolating and sequencing Okazaki fragments from asynchronously growing mammalian cells, termed Okazaki fragment sequencing (Ok-seq), for the purpose of quantitatively determining replication initiation and termination frequencies around specific genomic loci by meta-analyses. Briefly, cells are pulsed with 5-ethynyl-2'-deoxyuridine (EdU) to label newly synthesized DNA, and collected for DNA extraction. After size fractionation on a sucrose gradient, Okazaki fragments are concentrated and purified before click chemistry is used to tag the EdU label with a biotin conjugate that is cleavable under mild conditions. Biotinylated Okazaki fragments are then captured on streptavidin beads and ligated to Illumina adapters before library preparation for Illumina sequencing. The use of Ok-seq to interrogate genome-wide replication fork initiation and termination efficiencies can be applied to all unperturbed, asynchronously growing mammalian cells or under conditions of replication stress, and the assay can be performed in less than 2 weeks.

| S-EPMC8792808 | biostudies-literature

RMI1 promotes DNA replication fork progression and recovery from replication fork stress.

Project description:RMI1 is a member of an evolutionarily conserved complex composed of BLM and topoisomerase III? (TopoIII?). This complex exhibits strand passage activity in vitro, which is likely important for DNA repair and DNA replication in vivo. The inactivation of RMI1 causes genome instability, including elevated levels of sister chromatid exchange and accelerated tumorigenesis. Using molecular combing to analyze DNA replication at the single-molecule level, we show that RMI1 is required to promote normal replication fork progression. The fork progression defect in RMI1-depleted cells is alleviated in cells lacking BLM, indicating that RMI1 functions downstream of BLM in promoting replication elongation. RMI1 localizes to subnuclear foci with BLM and TopoIII? in response to replication stress. The proper localization of the complex requires a BLM-TopoIII?-RMI1 interaction and is essential for RMI1 to promote recovery from replication stress. These findings reveal direct roles of RMI1 in DNA replication and the replication stress response, which could explain the molecular basis for its involvement in suppressing sister chromatid exchange and tumorigenesis.

| S-EPMC3434523 | biostudies-literature

DNA replication stress triggers rapid DNA replication fork breakage by Artemis and XPF.

Project description:DNA replication stress (DRS) leads to the accumulation of stalled DNA replication forks leaving a fraction of genomic loci incompletely replicated, a source of chromosomal rearrangements during their partition in mitosis. MUS81 is known to limit the occurrence of chromosomal instability by processing these unresolved loci during mitosis. Here, we unveil that the endonucleases ARTEMIS and XPF-ERCC1 can also induce stalled DNA replication forks cleavage through non-epistatic pathways all along S and G2 phases of the cell cycle. We also showed that both nucleases are recruited to chromatin to promote replication fork restart. Finally, we found that rapid chromosomal breakage controlled by ARTEMIS and XPF is important to prevent mitotic segregation defects. Collectively, these results reveal that Rapid Replication Fork Breakage (RRFB) mediated by ARTEMIS and XPF in response to DRS contributes to DNA replication efficiency and limit chromosomal instability.

| S-EPMC6085069 | biostudies-literature

Polymerase dynamics at the eukaryotic DNA replication fork.

Project description:This review discusses recent insights in the roles of DNA polymerases (Pol) delta and epsilon in eukaryotic DNA replication. A growing body of evidence specifies Pol epsilon as the leading strand DNA polymerase and Pol delta as the lagging strand polymerase during undisturbed DNA replication. New evidence supporting this model comes from the use of polymerase mutants that show an asymmetric mutator phenotype for certain mispairs, allowing an unambiguous strand assignment for these enzymes. On the lagging strand, Pol delta corrects errors made by Pol alpha during Okazaki fragment initiation. During Okazaki fragment maturation, the extent of strand displacement synthesis by Pol delta determines whether maturation proceeds by the short or long flap processing pathway. In the more common short flap pathway, Pol delta coordinates with the flap endonuclease FEN1 to degrade initiator RNA, whereas in the long flap pathway, RNA removal is initiated by the Dna2 nuclease/helicase.

| S-EPMC2640984 | biostudies-literature

Visualizing replication fork encounters with DNA interstrand crosslinks.

Project description:Replication forks encounter numerous challenges as they move through eu- and hetero-chromatin during S phase in mammalian cells. These include a variety of impediments to the unwinding of DNA by the replicative helicase such as alternate DNA structures, transcription complexes and R-loops, DNA-protein complexes, and DNA chemical adducts. Much of our knowledge of these events is based on analysis of markers of the replication stress and DNA Damage Response that follow stalling of replisomes. To examine consequences for the replisomes more directly, we developed an approach for imaging collisions of replication forks with the potent block presented by an interstrand crosslink (ICL). The strategy is based on the visualization on DNA fibers of the encounter of replication tracts and an antigen tagged ICL. Our studies revealed an unexpected restart of DNA synthesis past an intact ICL. In addition, and also unexpected, we found two distinct versions of the replisome, one biased toward euchromatin and the other more prominent in heterochromatin. Here, we present details of our experimental procedures that led to these observations.

| S-EPMC10035509 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data