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Atomic-resolution three-dimensional hydration structures on a heterogeneously charged surface.

ABSTRACT: Local hydration structures at the solid-liquid interface around boundary edges on heterostructures are key to an atomic-level understanding of various physical, chemical and biological processes. Recently, we succeeded in visualising atomic-scale three-dimensional hydration structures by using ultra-low noise frequency-modulation atomic force microscopy. However, the time-consuming three-dimensional-map measurements on uneven heterogeneous surfaces have not been achieved due to experimental difficulties, to the best of our knowledge. Here, we report the local hydration structures formed on a heterogeneously charged phyllosilicate surface using a recently established fast and nondestructive acquisition protocol. We discover intermediate regions formed at step edges of the charged surface. By combining with molecular dynamics simulations, we reveal that the distinct structural hydrations are hard to observe in these regions, unlike the charged surface regions, possibly due to the depletion of ions at the edges. Our methodology and findings could be crucial for the exploration of further functionalities.

SUBMITTER: Umeda K

PROVIDER: S-EPMC5727385 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Atomic-resolution three-dimensional hydration structures on a heterogeneously charged surface.

Umeda Kenichi K Zivanovic Lidija L Kobayashi Kei K Ritala Juha J Kominami Hiroaki H Spijker Peter P Foster Adam S AS Yamada Hirofumi H

Nature communications 20171213 1

Local hydration structures at the solid-liquid interface around boundary edges on heterostructures are key to an atomic-level understanding of various physical, chemical and biological processes. Recently, we succeeded in visualising atomic-scale three-dimensional hydration structures by using ultra-low noise frequency-modulation atomic force microscopy. However, the time-consuming three-dimensional-map measurements on uneven heterogeneous surfaces have not been achieved due to experimental diff ...[more]

PMID: 29235462

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Project description:BackgroundHi-C data have been widely used to reconstruct chromosomal three-dimensional (3D) structures. One of the key limitations of Hi-C is the unclear relationship between spatial distance and the number of Hi-C contacts. Many methods used a fixed parameter when converting the number of Hi-C contacts to wish distances. However, a single parameter cannot properly explain the relationship between wish distances and genomic distances or the locations of topologically associating domains (TADs).ResultsWe have addressed one of the key issues of using Hi-C data, that is, the unclear relationship between spatial distances and the number of Hi-C contacts, which is crucial to understand significant biological functions, such as the enhancer-promoter interactions. Specifically, we developed a new method to infer this converting parameter and pairwise Euclidean distances based on the topology of the Hi-C complex network (HiCNet). The inferred distances were modeled by clustering coefficient and multiple other types of constraints. We found that our inferred distances between bead-pairs within the same TAD were apparently smaller than those distances between bead-pairs from different TADs. Our inferred distances had a higher correlation with fluorescence in situ hybridization (FISH) data, fitted the localization patterns of Xist transcripts on DNA, and better matched 156 pairs of protein-enabled long-range chromatin interactions detected by ChIA-PET. Using the inferred distances and another round of optimization, we further reconstructed 40?kb high-resolution 3D chromosomal structures of mouse male ES cells. The high-resolution structures successfully illustrate TADs and DNA loops (peaks in Hi-C contact heatmaps) that usually indicate enhancer-promoter interactions.ConclusionsWe developed a novel method to infer the wish distances between DNA bead-pairs from Hi-C contacts. High-resolution 3D structures of chromosomes were built based on the newly-inferred wish distances. This whole process has been implemented as a tool named HiCNet, which is publicly available at http://dna.cs.miami.edu/HiCNet/ .

Project description:Water plays a critical role in the structure and function of proteins, although the experimental properties of water around protein structures are not well understood. The water can be classified by the separation from the protein surface into bulk water and hydration water. Hydration water interacts closely with the protein and contributes to protein folding, stability, and dynamics, as well as interacting with the bulk water. Water potential functions are often parametrized to fit bulk water properties because of the limited experimental data for hydration water. Therefore, the structural and energetic properties of the hydration water were assessed for 105 atomic resolution (<or=1.0 A) protein crystal structures with a high level of hydration water by calculating the experimental water-protein radial distribution function or surface distribution function (SDF) and water radial distribution function (RDF). Two maxima are observed in SDF: the first maximum at a radius of 2.75 A reflects first shell and hydrogen bond interactions between protein and water, and the second maximum at 3.65 A reflects second shell and van der Waals interactions between water and nonpolar atoms of protein-forming clathrate-hydrate-like structures. Thus, the two shells do not overlap. The RDF showed the features of liquid water rather than solid ice. The first and second maxima of RDF at 2.75 and 4.5 A, respectively, are the same as for bulk water, but the peaks are sharper, indicating hydration water is more stable than bulk water. Both distribution functions are inversely correlated with the distribution of B factors (atomic thermal factors) for the waters, suggesting that the maxima reflect stable positions. Therefore, the average water structure near the protein surface has experimentally observable differences from bulk water. This analysis will help improve the accuracy for models of water on the protein surface by providing rigorous data for the effects of the apparent chemical potential of the water near a protein surface.

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Atomic-resolution three-dimensional hydration structures on a heterogeneously charged surface.

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Atomic-resolution three-dimensional hydration structures on a heterogeneously charged surface.

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