Search bioRxiv⌕ Search

Biology subjects

Hertel, S.

Publications and source records attributed to Hertel, S..

2 recordsLinked to original sources

Rapid exchange of stably bound protein and DNA cargo on a DNA origami receptor

Biomolecular complexes can form stable assemblies yet can also rapidly exchange their subunits to adapt to environmental changes. Simultaneously allowing for both stability and rapid exchange expands the functional capacity of biomolecular machines and enables continuous function while navigating a complex molecular world. Inspired by biology, we design and synthesize a DNA origami receptor that exploits multi-valent interactions to form stable complexes that are simultaneously capable of rapid subunit exchange. The system utilizes a mechanism first outlined in the context of the DNA replisome, known as multi-site competitive exchange, and achieves a large separation of time scales between spontaneous subunit dissociation, which requires days, and rapid subunit exchange, which occurs in minutes. In addition, we use the DNA origami receptor to demonstrate stable interactions with rapid exchange of both DNA and protein subunits, thus highlighting the applicability of our approach to arbitrary molecular cargo; an important distinction with canonical toehold exchange between single-stranded DNA. We expect this study to be the first of many that use DNA origami structures to exploit multi-valent interactions for the design and synthesis of a wide range of possible kinetic behaviors.

synthetic biology↗

Mechanisms underlying sequence-dependent DNA hybridisation rates in the absence of secondary structure

The kinetics of DNA hybridisation are fundamental to biological processes and DNA-based technologies. However, the precise physical mechanisms that determine why different DNA sequences hybridise at different rates are not well understood. Secondary structure is one predictable factor that influences hybridisation rates but is not sufficient on its own to fully explain the observed sequence-dependent variance. Consequently, to achieve a good correlation with experimental data, current prediction algorithms require many parameters that provide little mechanistic insight into DNA hybridisation. In this context, we measured hybridisation rates of 43 different DNA sequences that are not predicted to form secondary structure and present a parsimonious physically justified model to quantify their hybridisation rates. Accounting only for the combinatorics of complementary nucleating interactions and their sequence-dependent stability, the model achieves good correlation with experiment with only two free parameters, thus providing new insight into the physical factors underpinning DNA hybridisation rates.

biochemistry↗