Biology subjects

Nathanailidou, P.

Publications and source records attributed to Nathanailidou, P..

3 recordsLinked to original sources

bioRxiv2020

Aberrant replication licensing drives Copy Number Gains across species

Copy Number Gains (CNGs) lead to genetic heterogeneity, driving evolution and carcinogenesis. The mechanisms promoting CNG formation however remain poorly characterized. We show that abnormal expression of the replication licensing factor Cdc18 in fission yeast, which leads to genome-wide re-replication, drives the formation of CNGs at different genomic loci, promoting the acquisition of new selectable traits. Whole genome sequencing reveals Mb long, primarily extrachromosomal amplicons. Genetic analysis shows that homology-mediated repair is required to resolve re-replication intermediates into heritable CNGs. Consistently, we show that in mammalian cells overexpression of CDC6 and/or CDT1 leads to CNGs and promotes drug resistance. In human cells, multiple repair pathways are activated upon rereplication and act antagonistically, with RAD52 promoting and 53BP1 inhibiting CNG formation. In tumours, CDT1 and/or CDC6 overexpression correlates with copy number gains genome-wide. We propose re-replication as an evolutionary-conserved driver of CNGs, highlighting a link between aberrant licensing, CNGs and cancer.

molecular biology↗

bioRxiv2020

In silico analysis of DNA re-replication across a complete genome reveals cell-to-cell heterogeneity and genome plasticity

DNA replication is a complex and remarkably robust process: despite its inherent uncertainty, manifested through stochastic replication timing at a single-cell level, multiple control mechanisms ensure its accurate and timely completion across a population. Disruptions in these mechanisms lead to DNA re-replication, closely connected to genomic instability and oncogenesis. We present a stochastic hybrid model of DNA re-replication that accurately portrays the interplay between discrete dynamics, continuous dynamics, and uncertainty. Using experimental data on the fission yeast genome, model simulations show how different regions respond to re-replication, and permit insight into the key mechanisms affecting re-replication dynamics. Simulated and experimental population-level profiles exhibit good correlation along the genome, which is robust to model parameters, validating our approach. At a single-cell level, copy numbers of individual loci are affected by intrinsic properties of each locus, in cis effects from adjoining loci and in trans effects from distant loci. In silico analysis and single-cell imaging reveal that cell-to-cell heterogeneity is inherent in re-replication and can lead to a plethora of genotypic variations. Our thorough in silico analysis of DNA re-replication across a complete genome reveals that heterogeneity at the single cell level and robustness at the population level are emerging and co-existing principles of DNA re-replication. Our results indicate that re-replication can promote genome plasticity by generating many diverse genotypes within a population, potentially offering an evolutionary advantage in cells with aberrations in replication control mechanisms.

systems biology↗

bioRxiv2019

A stochastic hybrid model for DNA replication incorporating protein mobility dynamics

DNA replication, the basis of genetic information maintenance, is a remarkably robust yet highly stochastic process. We present a computational model that incorporates experimental genome structures and protein mobility dynamics to mechanistically describe the stochastic foundations of DNA replication. Analysis of about 300,000 in silico profiles for fission yeast indicates that the number of firing factors is rate-limiting and dominates completion time. Incorporating probabilistic activation and binding, a full-genome duplication was achieved with at least 300 firing factors, with the only assumption that factors get recycled upon replication fork collision. Spatial patterns of replication timing were reproduced only when firing factors were explicitly activated proximally to the spindle pole body. Independent in vivo experiments corroborate that the spindle pole body acts as a replication activator, driving origin firing. Our model provides a framework to realistically simulate full-genome DNA replication and investigate the effects of nuclear architecture.

bioinformatics↗