Biology subjects

Tubiana, L.

Publications and source records attributed to Tubiana, L..

5 recordsLinked to original sources

bioRxiv2025

Sequence- and supercoiling-dependent effects on the structural dynamics of DNA minicircles

The degree of over-/under-winding of the DNA double helix quantified by the superhelical density, is a key feature modulating critical biological processes such as gene expression and regulation: In fact, DNA molecules are able to channel the excess levels of mechanical stress into local defective and denatured states that are promptly detected by, e.g., transcription factors and nuclease enzymes. The occurrence and stability of these motifs is dictated by a complex interplay between topological and sequence-dependent effects, ultimately affecting the global conformational dynamics of the DNA molecule itself. Here, we characterize the impact of the sequence and of the super-helical density on the structural evolution of a 672-bp DNA minicircle via classical molecular dynamics simulations employing the coarse-grained oxDNA force field. We observe that moderately-to-highly undercoiled regimes are associated with the occurrence of stable, some- what broad denaturation bubbles, typically co-localizing with flexible nucleotide sequences on the DNA minicircle: These defects are hardly re-adsorbed by the system, thereby pinning the subsequent dynamics of the molecule. In fact, a similar behavior was recapitulated by enforcing "synthetic", adjoining DNA mismatches, regardless of the underlying nucleotide sequence, suggesting an effective manner of DNA manipulation.

biophysics↗

bioRxiv2023

Single-Molecule Morphology of Topologically Digested Olympic Networks

The kinetoplast DNA (kDNA) is the archetype of a two-dimensional Olympic network, composed of thousands of DNA minicircles and found in the mitochondrion of certain parasites. The evolution, replication and self-assembly of this structure are fascinating open questions in biology that can also inform us how to realise synthetic Olympic networks in vitro. To obtain a deeper understanding of the structure and assembly of kDNA networks, we sequenced the Crithidia fasciculata kDNA genome and performed high-resolution Atomic Force Microscopy (AFM) and analysis of kDNA networks that had been partially digested by selected restriction enzymes. We discovered that these topological perturbations lead to networks with significantly different geometrical features and morphologies with respect to the unperturbed kDNA, and that these changes are strongly dependent on the class of DNA circles targeted by the restriction enzymes. Specifically, cleaving maxicircles leads to a dramatic reduction in network size once adsorbed onto the surface, whilst cleaving both maxicircles and a minor class of minicircles yields non-circular and deformed structures. We argue that our results are a consequence of a precise positioning of the maxicircles at the boundary of the network, and we discuss our findings in the context of kDNA biogenesis, design of artificial Olympic networks and detection of in vivo perturbations.

biophysics↗

bioRxiv2022

Single-Molecule Structure and Topology of Kinetoplast DNA Networks

The Kinetoplast DNA (kDNA) is a two-dimensional Olympic-ring-like network of mutually linked 2.5 kb-long DNA minicircles found in certain parasites called Trypanosomes. Understanding the self-assembly and replication of this structure are not only major open questions in biology but can also inform the design of synthetic topological materials. Here we report the first high-resolution, single-molecule study of kDNA network topology using AFM and steered molecular dynamics simulations. We map out the DNA density within the network and the distribution of linking number and valence of the minicircles. We also characterise the DNA hubs that surround the network and show that they cause a buckling transition akin to that of a 2D elastic thermal sheet in the bulk. Intriguingly, we observe a broad distribution of density and valence of the minicircles, indicating heterogeneous network structure and individualism of different kDNA structures. Our findings explain outstanding questions in the field and offer single-molecule insights into the properties of a unique topological material.

biophysics↗

bioRxiv2021

Dynamic and Facilitated Binding of Topoisomerase Accelerates Topological Relaxation

How type 2 Topoisomerase (TopoII) proteins relax and simplify the topology of DNA molecules is one of the most intriguing open questions in genome and DNA biophysics. Most of the existing models neglect the dynamics of TopoII which is characteristics for proteins searching their targets via facilitated diffusion. Here, we show that dynamic binding of TopoII speeds up the topological relaxation of knotted substrates by enhancing the search of the knotted arc. Intriguingly, this in turn implies that the timescale of topological relaxation is virtually independent of the substrate length. We then discover that considering binding biases due to facilitated diffusion on looped substrates steers the sampling of the topological space closer to the boundaries between different topoisomers yielding an optimally fast topological relaxation. We discuss our findings in the context of topological simplification in vitro and in vivo.

biophysics↗

bioRxiv2018

Protein design under competition for amino acids availability

Understanding the origin of the 20 letter alphabet of proteins is a long-lasting biophysical problem. In particular, studies focused extensively on the effect of a reduced alphabet size on the folding properties. However, the natural alphabet is a compromise between versatility and optimisation of the available resources.\n\nHere, for the first time, we include the additional impact of the relative availability of the amino acids. We present a protein design scheme that involves the competition for resources between a protein and a potential interaction partner that, additionally, gives us the chance to investigate the effect of the reduced alphabet on protein-protein interactions. We identify the optimal reduced set of letters for the design of the protein, and we observe that even alphabets reduced down to 4 letters allow for single protein folding. However, it is only with 6 letters that we achieve optimal folding, thus recovering experimental observations.\n\nAdditionally, we notice that the binding between the protein and a potential interaction partner could not be avoided with the investigated reduced alphabets. Therefore, we suggest that aggregation could have been a driving force for the evolution of the large protein alphabet.

biophysics↗