Organ-on-a-chip technology has gained great interest in recent years given its ability to control the spatio-temporal microenvironments of cells and tissues precisely. While physical parameters of the respective niche such as microchannel network sizes, geometric features, flow rates, and shear forces, as well as oxygen tension and concentration gradients, have been optimized for stem cell cultures, little has been done to improve cell-matrix interactions in microphysiological systems. Specifically, detailed research on the effect of matrix elasticity and extracellular matrix (ECM) nanotopography on stem cell differentiation are still in its infancy, an aspect that is known to alter a stem cell’s fate. Although a wide range of hydrogels such as gelatin, collagen, fibrin, and others are available for stem cell chip cultivations, only a limited number of elasticities are generally employed. Matrix elasticity and the corresponding nanotopography are key factors that guide stem cell differentiation. Given this, we investigated the addition of gold nanowires into hydrogels to create a tunable biointerface that could be readily integrated into any organ-on-a-chip and cell chip system. In the presented work, we investigated the matrix elasticity (Young’s modulus, stiffness, adhesive force, and roughness) and nanotopography of gold nanowire loaded onto fibrin hydrogels using the bio-AFM (atomic force microscopy) method. Additionally, we investigated the capacity of human amniotic mesenchymal stem cells (hAMSCs) to differentiate into osteo- and chondrogenic lineages. Our results demonstrated that nanogold structured-hydrogels promoted differentiation of hAMSCs as shown by a significant increase in Collagen I and II production. Additionally, there was enhanced calcium mineralization activity and proteoglycans formation after a cultivation period of two weeks within microfluidic devices.

Biomechanical and morphological analysis of the cells is a novel approach for monitoring the environmental features, drugs, and toxic compounds’ effects on cells. Graphene oxide (GO) has a broad range of medical applications such as tissue engineering and drug delivery. However, the effects of GO nanosheets on biological systems have not been completely understood. In this study, we focused on the biophysical characteristics of cells and their changes resulting from the effect of GO nanosheets. The biophysical properties of the cell population were characterized as follows: cell stiffness was calculated by atomic force microscopy, cell motility and invasive properties were characterized in the microfluidic chip in which the cells are able to visualize cell migration at a single-cell level. Intracellular actin was stained to establish a quantitative picture of the intracellular cytoskeleton. In addition, to understand the molecular interaction of GO nanosheets and actin filaments, coarse-grained (CG) molecular dynamics (MD) simulations were carried out. Our results showed that GO nanosheets can reduce cell stiffness in MCF7 cells and MDA-MB-231 cell lines and highly inhibited cell migration (39.2%) in MCF-7 and (38.6%) in MDA-MB-231 cell lines through the GO nanosheets-mediated disruption of the intracellular cytoskeleton. In the presence of GO nanosheets, the cell migration of both cell lines, as well as the cell stiffness, significantly decreased. Moreover, after GO nanosheets treatment, the cell actin network dramatically changed. The experimental and theoretical approaches established a quantitative picture of changes in these networks. Our results showed the reduction of the order parameter in actin filaments was 23% in the MCF7 cell line and 20.4% in the MDA-MB-231 cell line. The theoretical studies also showed that the GO nanosheet–actin filaments have stable interaction during MD simulation. Moreover, the 2D free energy plot indicated the GO nanosheet can induce conformational changes in actin filaments. Our findings showed that the GO nanosheets can increase the distance of actin-actin subunits from 3.22 to 3.5 nm and in addition disrupt native contacts between two subunits which lead to separate actin subunits from each other in actin filaments. In this study, the biomechanical characteristics were used to explain the effect of GO nanosheets on cells which presents a novel view of how GO nanosheets can affect the biological properties of cells without cell death. These findings have the potential to be applied in different biomedical applications.

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Calprotectin is a heterodimeric protein complex which consists of two subunits including S100A8 and S100A9. This protein has a major role in different inflammatory disease and various types of cancers. In current study we aimed to evaluate the structural and thermodynamic changes of the subunits and the complex in presence of sodium and calcium ions using molecular dynamics (MD) simulation. Therefore, the residue interaction network (RIN) was visualized in Cytoscape program. In next step, to measure the binding free energy, the potential of mean force (PMF) method was performed. Finally, the molecular mechanics Poisson-Boltzmann surface area (MMPBSA) method was applied as an effective tool to calculate the molecular model affinities. The MD simulation results of the subunits represented their structural changes in presence of Ca2+. Moreover, the RIN and Hydrogen bond analysis demonstrated that cluster interactions between Calprotectin subunits in presence of Ca2+ were greater in comparison with Na+. Our findings indicated that the binding free energy of the subunits in presence of Ca2+ was significantly greater than Na+. The results revealed that Ca2+ has the ability to induce structural changes in subunits in comparison with Na+ which lead to create stronger interactions between. Hence, studying the physical characteristics of the human proteins could be considered as a powerful tool in theranostics and drug design purposes.

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BackgroundThe hepatitis C virus (HCV) has six major genotypes. The purpose of this study was to phylogenetically investigate the differences between the genotypes of HCV, and to determine the types of amino acid codon usage in the structure of the virus in order to discover new methods for treatment regimes.MethodsThe codon usage of the six genotypes of the HCV nucleotide sequence was investigated through the online application available on the website Gene Infinity. Also, phylogenetic analysis and the evolutionary relationship of HCV genotypes were analyzed with MEGA 7 software.ResultsThe six genotypes of HCV were divided into two groups based on their codon usage properties. In the first group, genotypes 1 and 5 (74.02%), and in the second group, genotypes 2 and 6 (72.43%) were shown to have the most similarity in terms of codon usage. Unlike the results with respect to determining the similarity of codon usage, the phylogenetic analysis showed the closest resemblance and correlation between genotypes 1 and 4. The results also showed that HCV has a GC (guanine-cytosine) abundant genome structure and prefers codons with GC for translation.ConclusionsGenotypes 1 and 4 demonstrated remarkable similarity in terms of genome sequences and proteins, but surprisingly, in terms of the preferred codons for gene expression, they showed the greatest difference. More studies are therefore needed to confirm the results and select the best approach for treatment of these genotypes based on their codon usage properties.

BackgroundHepatitis B virus (HBV) as an infectious disease that has nine genotypes (A - I) and a ‘putative’ genotype J.ObjectivesThe aim of this study was to identify the rare codon clusters (RCC) in the HBV genome and to evaluate these RCCs in the HBV proteins structure.MethodsFor detection of protein family accession numbers (Pfam) in HBV proteins, the UniProt database and Pfam search tool were used. Protein family accession numbers is a comprehensive and accurate collection of protein domains and families. It contains annotation of each family in the form of textual descriptions, links to other resources and literature references. Genome projects have used Pfam extensively for large-scale functional annotation of genomic data; Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). The Pfam search tools are databases that identify Pfam of proteins. These Pfam IDs were analyzed in Sherlocc program and the location of RCCs in HBV genome and proteins were detected and reported as translated EMBL nucleotide sequence data library (TrEMBL) entries. The TrEMBL is a computer-annotated supplement of SWISS-PROT that contains all the translations of European molecular biology laboratory (EMBL) nucleotide sequence entries not yet integrated in SWISS-PROT. Furthermore, the structures of TrEMBL entries proteins were studied in the PDB database and 3D structures of the HBV proteins and locations of RCCs were visualized and studied using Swiss PDB Viewer software®.ResultsThe Pfam search tool found nine protein families in three frames. Results of Pfams studies in the Sherlocc program showed that this program has not identified RCCs in the external core antigen (PF08290) and truncated HBeAg gene (PF08290) of HBV. By contrast, the RCCs were identified in gene of hepatitis core antigen (PF00906 and the residues 224 - 234 and 251 - 255), large envelope protein S (PF00695 and the residues 53-56 and 70 - 84), X protein (PF00739 and the residues 10 - 24, 29 - 83, 95 - 99. 122 - 129, 139 - 143), DNA polymerase (viral) N-terminal domain (PF00242 and the residues 59 - 62, 214 - 217, 407 - 413) and protein P (Pf00336 and the residues 225 - 228). In HBV genome, seven RCCs were identified in the gene area of hepatitis core antigen, large envelope protein S and DNA polymerase, while protein structures of TrEMBL entries sequences found in Sherlocc program outputs were not complete.ConclusionsBased on the location of detected RCCs in the structure of HBV proteins, it was found that these RCCs may have a critical role in correct folding of HBV proteins and can be considered as drug targets. The results of this study provide new and deep perspectives about structure of HBV proteins for further researches and designing new drugs for treatment of HBV.