Biology subjects

Arbona, J.-M.

Publications and source records attributed to Arbona, J.-M..

12 recordsLinked to original sources

bioRxiv2026

High-resolution single-molecule replication profiling of the human genome

Despite the considerable progress made in recent years thanks to the rise of long-read sequencing, high-resolution, single molecule (SM)-based replication profiling of large genomes has remained out of reach. Here, we present a replication labelling strategy consisting in repeated pulse-labelling of asynchronously growing cells with the thymidine analogue bromodeoxyuridine (BrdU) that greatly enhances the number of detectable replication tracks. We show that the multipulse BrdU labelling protocol, in association with ForkML, a machine-learning method translating BrdU signals in nanopore reads into oriented and positioned replication forks, enables the establishment of a SM replication map of the entire human genome at kilobase resolution.

genomics↗

bioRxiv2026

An extension of Modular Response Analysis for global perturbations and robust connectivity inference of gene regulatory networks.

Understanding how gene regulatory networks respond to global cell perturbations remains a central challenge in systems biology and network inference. Modular Response Analysis (MRA) provides a mathematical framework to infer gene-to-gene directed connectivity graphs from perturbation experiments; however, classical MRA captures direct gene-to-gene influences, and does not explicitly account for global stimuli that simultaneously change the graph. Here, we introduce MRA+, an extension of MRA, that incorporates the effect of global perturbations into gene-to-gene graph inference. MRA+ assumes a sequential experimental design in which targeted gene perturbations are followed by the application of a global stimulus, enabling the separation of connectivity changes from direct gene induction. The method estimates network connectivity under induced conditions and quantifies gene-specific induction strengths, which represent contributions to expression changes arising from mechanisms external to the inferred network. In the case of single-cell expression data, we present a bootstrap strategy to assess the robustness of inferred connectivity coefficients and propose a complementary criterion based on sign stability to interpret weak or non-significant estimates. Together, these developments provide a general framework for robust inference of gene connectivity graphs in the presence of global perturbations, applicable to diverse biological and experimental contexts.

systems biology↗

bioRxiv2026

A Closed-Form Bayesian Framework for DNA Replication Reveals Intrinsic Origin Timing and Activation Delays

I.We present an analytical framework for modeling eukaryotic DNA replication that, given experimental Replication Fork Directionality (RFD) data, enables Bayesian inference of origin number, activation delay [Formula] and intrinsic timing ({lambda}i), (the mean replication time if each origin were isolated). By deriving closed-form expressions for RFD and Mean Replication Timing (MRT) under exponential and a specific Weibull firing-time distributions as functions of [Formula] and ({lambda}i), we eliminate the need for stochastic simulations. These analytical results reveal that RFD, as a ratio of fork directions, is invariant under joint rescaling of intrinsic timing and fork speed; absolute intrinsic timing can nonetheless be inferred when fork speed is independently measured. We demonstrate that under exponential firing distribution for the origin, the observed efficiency (Ei), i.e. the probability for an origin to fire which accounts for nearby origin, is simply MRT(xi)/{lambda}i. The closed-form RFD expressions allow to use a Bayesian method that achieves 0.96-0.99 correlation with yeast RFD profiles and resolves ~780 origins in S. cerevisiae. Our framework identifies about 150 origins with biologically significant delays ([≥] 3 minute), revealing regulated activation kinetics undetectable by existing methods. By quantifying how origin intrinsic timing and delays shape replication timing landscapes, this work confirms yeast as a paradigm organism for studying DNA replication control mechanisms.

biophysics↗

bioRxiv2026

Modeling the spatial organization of replicated chromosomes in yeast reveals a loose asymmetric cohesion between sister chromatids

Following DNA replication, cohesion maintains sister chromatids in spatial proximity with a certain degree of alignment. This tethering, mediated by the cohesin complex,may facilitate DNA repair and enable proper chromosome individualization and segregation during mitosis. However, it is still unclear how cohesion is established and how it reshapes the relative organization of replicated chromosomes to achieve its functions. In this study, we address these questions in the biological context of budding yeast, by disentangling the interplay between two major structural functions of cohesin: organizing individual chromatids through loop extrusion and sister chromatids through cohesion. Combining polymer modeling and detailed analysis of recent experimental data of replicated chromosomes in G2/M, we show that extruding and cohesive cohesins are sparsely distributed leading to mildly compacted and loosely aligned sister chromatids. Genome-wide analysis of inter-chromatid contact maps in WT and mutant conditions suggests that cohesion is asymmetric, favoring the tethering between non-homologous cohesin-enriched regions. Our work highlights the dual role played by cohesin in structuring the replicated genome and questions how homologous recombination may function in the context of asymmetric, partial alignment of sister chromatids. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=77 SRC="FIGDIR/small/700293v2_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@112ae6org.highwire.dtl.DTLVardef@1176c54org.highwire.dtl.DTLVardef@c939d4org.highwire.dtl.DTLVardef@f390c7_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2025

Genome-wide modeling of DNA replication in space and time confirms the emergence of replication specific patterns in vivo in eukaryotes

Although significant progress has been made on our understanding of DNA replication and spatial chromosome organization in eukaryotes, how they both interplay remains elusive. In particular, from the local structure of two diverging sister-forks to the higher-level organization of the replication machinery into nuclear domains, the mechanistic details of chromatin duplication in the 3D nuclear space remain debated. In this study, we use a computational model of the Saccharomyces cerevisiae genome to explore how replication influences chromatin folding. By integrating both a realistic description of the genome 3D architecture and 1D replication timing, simulations reveal that the colocalization of sister-forks produce a characteristic "fountain" pattern around early origins of replication. We confirm the presence of similar features in vivo in early S-phase with new Hi-C data in various conditions, showing that it is replication-dependent and cohesin-independent. At a larger scale, we show that the 3D genome leads to forks being highly enriched at one pole of the nucleus in early S-phase, before later redistributing more homogeneously, and may favor the higher-order clustering of forks into Replication Foci, as observed in earlier microscopy experiments. Additionally, replication causes temporary chromatin slowdown and reduced mobility due to fork passage and sister chromatid intertwining. Overall, our model offers new insights into the spatial and dynamic organization of chromatin during replication in eukaryotes.

biophysics↗

bioRxiv2024

Nanotiming: telomere-to-telomere DNA replication timing profiling by nanopore sequencing

Current temporal studies of DNA replication are either low-resolution or require complex cell synchronisation and/or sorting procedures. Here we introduce Nanotiming, a nanopore sequencing-based method producing high-resolution, telomere-to-telomere replication timing (RT) profiles of eukaryotic genomes by interrogating changes in intracellular dTTP concentration during S phase through competition with its analogue bromodeoxyuridine triphosphate (BrdUTP) for incorporation into replicating DNA. Nanotiming solely demands the labelling of asynchronously growing cells with an innocuous dose of BrdU during one doubling time followed by BrdU quantification along nanopore reads. We demonstrate in yeast S. cerevisiae that Nanotiming precisely reproduces RT profiles generated by reference methods in wild-type and mutant cells inactivated for known RT determinants, for one-tenth of the cost. Nanotiming is simple, accurate, inexpensive, amenable to large-scale analyses, and is capable of unveiling RT at individual telomeres, revealing that Rif1 iconic telomere regulator directly delays the replication only of telomeres with specific subtelomeric elements.

genomics↗

bioRxiv2024

DNA replication and polymer chain duplication reshape the genome in space and time

In eukaryotes, DNA replication constitutes a complex process whereby multiple origins are stochastically fired, and from which the replication machinery proceeds along chromosomes to achieve the faithful synthesis of two identical copies of the genome during the S-phase of the cell cycle. Experimental evidence show a functional correlation between the dynamics of replication and the spatial organization of the genome inside cell nuclei, suggesting that the process of replicating DNA may impact chromosome folding. However, the theoretical and mechanistic bases of such an hypothesis remain elusive. To address that question, we propose a quantitative, minimal framework that integrates the dynamics of replication along a polymer chain by accounting explicitly for the progression of the replication machinery and the resulting formation of sister chromatids. By systematically characterizing the 3D structural consequences of replication, and of possible interactions between active replication machineries, we show that the formation of transient loops may potentially impact chromosome organization across multiple temporal and spatial scales, from the level of individual origins to that of the global polymer chain. Comparison with available microscopy and chromosome conformation capture data in yeast suggests that a replication-dependent loop extrusion process may be acting in vivo, and may shape chromosomes as loose polymer bottle-brushes during the S-phase. Lastly, we explore the post-replication relative organization of sister chromatids and demonstrate the emergence of catenations and intertwined structures, which are regulated by the density of fired origins.

biophysics↗

bioRxiv2021

Inferring the DNA replication origin density landscape in human cells from replication timing and fork directionality data

In human and other metazoans, the determinants of replication origin location and strength are still elusive. Origins are licensed in G1 phase and fired in S phase of the cell cycle, respectively. It is debated which of these two temporally separate steps determines origin efficiency. Experiments can independently profile mean replication timing (MRT) and replication fork directionality (RFD) genome-wide. Such profiles contain information on multiple origins properties and on fork speed. Due to possible origin inactivation by passive replication, however, observed and intrinsic origin efficiencies can markedly differ. Thus, there is a need for methods to infer intrinsic from observed origin efficiency, which is context-dependent. Here, we show that MRT and RFD data are highly consistent with each other but contain information at different spatial scales. Using neural networks, we infer an origin licensing landscape that, when inserted in an appropriate simulation framework, jointly predicts MRT and RFD data with unprecedented precision and underlies the importance of dispersive origin firing. We furthermore uncover an analytical formula that predicts intrinsic from observed origin efficiency combined with MRT data. Comparison of inferred intrinsic origin efficiencies with experimental profiles of licensed origins (ORC, MCM) and actual initiation events (Bubble-seq, SNS-seq, OK-seq, ORM) show that intrinsic origin efficiency is not solely determined by licensing efficiency. Thus, human replication origin efficiency is set at both the origin licensing and firing steps. Author SummaryDNA replication is a vital process that produces two identical replicas of DNA from one DNA molecule, ensuring the faithful transmission of genetic information from mother to daughter cells. The synthesis of new DNA strands initiates at multiple sites, termed replication origins, propagates bidirectionally, and terminates by merging of converging strands. Replication initiation continues in unreplicated DNA but is blocked in replicated DNA. Experiments have only given partial information about origin usage. In this work we reveal the exact propensity of any site to initiate replication along human chromosomes. First, we simulate the DNA replication process using approximate origin information, predict the direction and time of replication at each point of the genome, and train a neural network to precisely recover from the predictions the starting origin information. Second, we apply this network to real replication time and direction data, extracting the replication initiation propensity landscape that exactly predicts them. We compare this landscape to independent origin usage data, benchmarking them, and to landscapes of protein factors that mark potential origins. We find that the local abundance of such factors is insufficient to predict replication initiation and we infer to which extent other chromosomal cues locally influence potential origin usage.

biophysics↗

bioRxiv2020

Organization of DNA replication origin firing in Xenopus egg extracts : the role of intra-S checkpoint

During cell division, the duplication of the genome starts at multiple positions called replication origins. Origin firing requires the interaction of rate-limiting factors with potential origins during the S(ynthesis)-phase of the cell cycle. Origins fire as synchronous clusters which is proposed to be regulated by the intra-S checkpoint. By modelling the unchallenged, the checkpoint-inhibited and the checkpoint protein Chk1 over-expressed replication pattern of single DNA molecules from Xenopus sperm chromatin replicated in egg extracts, we demonstrate that the quantitative modelling of data requires: 1) a segmentation of the genome into regions of low and high probability of origin firing; 2) that regions with high probability of origin firing escape intra-S checkpoint regulation and 3) the variability of the rate of DNA synthesis close to replication forks is a necessary ingredient that should be taken in to account in order to describe the dynamic of replication origin firing. This model implies that the observed origin clustering emerges from the apparent synchrony of origin firing in regions with high probability of origin firing and challenge the assumption that the intra-S checkpoint is the main regulator of origin clustering. Author summaryDNA replication is one of the fundamental cell functions. The genome of eukaryotic organisms is duplicated from multiple positions named replication origins. Single molecule experiments allow to visualise the dynamics of spatio-temporal patterns created during replication process. The dynamic of replication process is regulated by checkpoints. However, the influence and the role of checkpoint regulation in the dynamics of spatio-temporal patterns of DNA replication is not understood. In this work we build a minimal, process-based and data rooted numerical model that allows to decipher the impact of checkpoint regulation on the dynamics of spatio-temporal pattern of DNA replication.

cell biology↗

bioRxiv2020

FORK-seq: replication landscape of the Saccharomyces cerevisiae genome by nanopore sequencing

Genome replication mapping methods profile cell populations, masking cell-to-cell heterogeneity. Here, we describe FORK-seq, a nanopore sequencing method to map replication of single DNA molecules at 200 nucleotide resolution. By quantifying BrdU incorporation along pulse-chased replication intermediates from Saccharomyces cerevisiae, we orient 58,651 replication tracks reproducing population-based replication directionality profiles and map 4,964 and 4,485 individual initiation and termination events, respectively. Although most events cluster at known origins and fork merging zones, 9% and 18% of initiation and termination events, respectively, occur at many locations previously missed. Thus, FORK-seq reveals the full extent of cell-to-cell heterogeneity in DNA replication.

genomics↗

bioRxiv2018

Mapping DNA replication with nanopore sequencing

We have harnessed nanopore sequencing to study DNA replication genome-wide at the single-molecule level. Using in vitro prepared DNA substrates, we characterized the effect of bromodeoxyuridine (BrdU) substitution for thymidine on the MinION nanopore electrical signal. Using a neural-network basecaller trained on yeast DNA containing either BrdU or thymidine, we identified BrdU-labelled tracts in yeast cells synchronously entering S phase in the presence of hydroxyurea and BrdU. As expected, the BrdU-labelled tracts coincided with previously identified early-firing, but not late-firing, replication origins. These results open the way to high-throughput, high-resolution, single-molecule analysis of DNA replication in many experimental systems.

genomics↗

bioRxiv2018

Universal temporal rate of DNA replication origin firing: A balance between origin activation and passivation

The time-dependent rate I(t) of origin firing per length of unreplicated DNA presents a universal bell shape in eukaryotes that has been interpreted as the result of a complex time-evolving interaction between origins and limiting firing factors. Here we show that a normal diffusion of replication fork components towards localized potential replication origins (p-oris) can more simply account for the I(t) universal bell shape, as a consequence of a competition between the origin firing time and the time needed to replicate DNA separating two neighboring p-oris. We predict the I(t) maximal value to be the product of the replication fork speed with the squared p-ori density. We show that this relation is robustly observed in simulations and in experimental data for several eukaryotes. Our work underlines that fork-component recycling and potential origins localization are sufficient spatial ingredients to explain the universality of DNA replication kinetics.

biophysics↗