Thymus exosomes-like particles induce regulatory T cells

Exosomes released from different types of cells have been proposed to contribute to intercellular communication. We report that thymic exosome-like particles (ELPs) released from cells of the thymus can induce the development of Foxp3(+) regulatory T (Treg) cells in the lung and liver. Thymic ELPs also induce the conversion of thymic CD4(+)CD25(-) T cells into Tregs. Tregs induced by thymic ELPs suppress the proliferation of CD4(+)CD25(-) T cells in vitro and in vivo. We further show that neutralization of TGF-beta in ELPs partially reverses thymic ELP-mediated induction of CD4(+)Foxp3(+) T cells in the lung and liver. This study demonstrates that thymic ELPs participate in the induction of Foxp3(+) Tregs. Also, TGF-beta of thymic ELPs might be required for the generation of Tregs in the peripheral tissues.     

A mechanistic model on the role of “radially-running” collagen fibers on dissection properties of human ascending thoracic aorta

Aortic dissection (AoD) is a common condition that often leads to life-threatening cardiovascular emergency. From a biomechanics viewpoint, AoD involves failure of load-bearing microstructural components of the aortic wall, mainly elastin and collagen fibers. Delamination strength of the aortic wall depends on the load-bearing capacity and local micro-architecture of these fibers, which may vary with age, disease and aortic location. Therefore, quantifying the role of fiber micro-architecture on the delamination strength of the aortic wall may lead to improved understanding of AoD. We present an experimentally-driven modeling paradigm towards this goal. Specifically, we utilize collagen fiber micro-architecture, obtained in a parallel study from multi-photon microscopy, in a predictive mechanistic framework to characterize the delamination strength. We then validate our model against peel test experiments on human aortic strips and utilize the model to predict the delamination strength of separate aortic strips and compare with experimental findings. We observe that the number density and failure energy of the radially-running collagen fibers control the peel strength. Furthermore, our model suggests that the lower delamination strength previously found for the circumferential direction in human aorta is related to a lower number density of radially-running collagen fibers in that direction. Our model sets the stage for an expanded future study that could predict AoD propagation in patient-specific aortic geometries and better understand factors that may influence propensity for occurrence.     

An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA

Background

The ability to engineer zinc finger proteins binding to a DNA sequence of choice is essential for targeted genome editing to be possible. Experimental techniques and molecular docking have been successful in predicting protein-DNA interactions, however, they are highly time and resource intensive. Here, we present a novel algorithm designed for high throughput prediction of optimal zinc finger protein for 9 bp DNA sequences of choice. In accordance with the principles of information theory, a subset identified by using K-means clustering was used as a representative for the space of all possible 9 bp DNA sequences. The modeling and simulation results assuming synergistic mode of binding obtained from this subset were used to train an ensemble micro neural network. Synergistic mode of binding is the closest to the DNA-protein binding seen in nature, and gives much higher quality predictions, while the time and resources increase exponentially in the trade off. Our algorithm is inspired from an ensemble machine learning approach, and incorporates the predictions made by 100 parallel neural networks, each with a different hidden layer architecture designed to pick up different features from the training dataset to predict optimal zinc finger proteins for any 9 bp target DNA.

Results

The model gave an accuracy of an average 83% sequence identity for the testing dataset. The BLAST e-value are well within the statistical confidence interval of E-05 for 100% of the testing samples. The geometric mean and median value for the BLAST e-values were found to be 1.70E-12 and 7.00E-12 respectively. For final validation of approach, we compared our predictions against optimal ZFPs reported in literature for a set of experimentally studied DNA sequences. The accuracy, as measured by the average string identity between our predictions and the optimal zinc finger protein reported in literature for a 9 bp DNA target was found to be as high as 81% for DNA targets with a consensus sequence GCNGNNGCN reported in literature. Moreover, the average string identity of our predictions for a catalogue of over 100 9 bp DNA for which the optimal zinc finger protein has been reported in literature was found to be 71%.

Conclusions

Validation with experimental data shows that our tool is capable of domain adaptation and thus scales well to datasets other than the training set with high accuracy. As synergistic binding comes the closest to the ideal mode of binding, our algorithm predicts biologically relevant results in sync with the experimental data present in the literature. While there have been disjointed attempts to approach this problem synergistically reported in literature, there is no work covering the whole sample space. Our algorithm allows designing zinc finger proteins for DNA targets of the user’s choice, opening up new frontiers in the field of targeted genome editing. This algorithm is also available as an easy to use web server, ZifNN, at http://web.iitd.ac.in/~sundar/ZifNN/.

     

Non-invasive label-free monitoring the cardiac differentiation of human embryonic stem cells in-vitro by Raman spectroscopy

Background

Online label-free monitoring of in-vitro differentiation of stem cells remains a major challenge in stem cell research. In this paper we report the use of Raman micro-spectroscopy (RMS) to measure time- and spatially-resolved molecular changes in intact embryoid bodies (EBs) during in-vitro cardiogenic differentiation.

Methods

EBs formed by aggregation of human embryonic stem cells (hESCs) were cultured in defined medium to induce differentiation towards cardiac phenotype and maintained in purpose-built micro-bioreactors on the Raman microscope for 5 days (between days 5 and 9 of differentiation) and spatially-resolved spectra were recorded at 24 h intervals.

Results

The Raman spectra showed that the onset of spontaneous beating of EBs at day 7 coincided with an increase in the intensity of the Raman bands at 1340 cm^− 1, 1083 cm^− 1, 937 cm^− 1, 858 cm^− 1, 577 cm^− 1 and 482 cm^− 1. The spectral maps corresponding to these bands had a high positive correlation with the expression of the cardiac-specific α-actinin obtained by immuno-fluorescence imaging of the same EBs. The spectral markers obtained here are also in agreement with previous studies performed on individual live hESC-derived CMs.

Conclusions

The intensity profile of these Raman bands can be used for label-free in-situ monitoring of EBs to estimate the efficacy of cardiogenic differentiation.

General significance

As the acquisition of the time-course Raman spectra did not affect the viability or the differentiation potential of the hESCs, this study demonstrates the feasibility of using RMS for on-line non-invasive continuous monitoring of such processes inside bioreactor culture systems.     

Exploiting the recognition code for elucidating the mechanism of zinc finger protein-DNA interactions

Background

Engineering zinc finger protein motifs for specific binding to double-stranded DNA is critical for targeted genome editing. Most existing tools for predicting DNA-binding specificity in zinc fingers are trained on data obtained from naturally occurring proteins, thereby skewing the predictions. Moreover, these mostly neglect the cooperativity exhibited by zinc fingers.

Methods

Here, we present an ab-initio method that is based on mutation of the key α-helical residues of individual fingers of the parent template for Zif-268 and its consensus sequence (PDB ID: 1AAY). In an attempt to elucidate the mechanism of zinc finger protein-DNA interactions, we evaluated and compared three approaches, differing in the amino acid mutations introduced in the Zif-268 parent template, and the mode of binding they try to mimic, i.e., modular and synergistic mode of binding.

Results

Comparative evaluation of the three strategies reveals that the synergistic mode of binding appears to mimic the ideal mechanism of DNA-zinc finger protein binding. Analysis of the predictions made by all three strategies indicate strong dependence of zinc finger binding specificity on the amino acid propensity and the position of a 3-bp DNA sub-site in the target DNA sequence. Moreover, the binding affinity of the individual zinc fingers was found to increase in the order Finger 1 < Finger 2 < Finger 3, thus confirming the cooperative effect.

Conclusions

Our analysis offers novel insights into the prediction of ZFPs for target DNA sequences and the approaches have been made available as an easy to use web server at http://web.iitd.ac.in/~sundar/zifpredict_ihbe

     

Varying degrees of nonlinear mechanical behavior arising from geometric differences of urogynecological meshes

Synthetic polypropylene meshes were designed to restore pelvic organ support for women suffering from pelvic organ prolapse; however, the FDA released two notifications regarding potential complications associated with mesh implantation. Our aim was to characterize the structural properties of Restorelle and UltraPro subjected to uniaxial tension along perpendicular directions, and then model the tensile behavior of these meshes utilizing a co-rotational finite element model, with an imbedded linear or fiber-recruitment local stress–strain relationship. Both meshes exhibited a highly nonlinear stress–strain behavior; Restorelle had no significant differences between the two perpendicular directions, while UltraPro had a 93% difference in the low (initial) stiffness (p=0.009) between loading directions. Our model predicted that early alignment of the mesh segments in the loading direction and subsequent stretching could explain the observed nonlinear tensile behavior. However, a nonlinear stress–strain response in the stretching regime, that may be inherent to the mesh segment, was required to better capture experimental results. Utilizing a nonlinear fiber recruitment model with two parameters A and B, we observed improved agreement between the simulations and the experimental results. An inverse analysis found A=120 MPa and B=1.75 for Restorelle (RMSE=0.36). This approach yielded A=30 MPa and B=3.5 for UltraPro along one direction (RMSE=0.652), while the perpendicular orientation resulted in A=130 MPa and B=4.75 (RMSE=4.36). From the uniaxial protocol, Restorelle was found to have little variance in structural properties along these two perpendicular directions; however, UltraPro was found to behave anisotropically.     

Computational modeling reveals the relationship between intrinsic failure properties and uniaxial biomechanical behavior of arterial tissue

Biomechanics and Modeling in Mechanobiology - Biomechanical failure of the artery wall can lead to rupture, a catastrophic event with a high rate of mortality. Thus, there is a pressing need to...     

Bromide-sulfur interchange: ion chromatographic determination of total reduced thiol levels in plasma

Plasma thiol concentration has long been recognised as a potential indicator for assessing the severity of oxidative stress processes within physiological systems. While such measurements are normally restricted to research studies, this communication has sought to develop and characterise a novel approach through which this parameter could be exploited within routine clinical settings. The protocol is based on the rapid derivatisation of reduced thiol functionalities (protein and monomolecular moieties) through the homogenous reaction of a naphthoquinone bromide derivative. Bromide released in the reaction can be easily quantified through ion chromatography (Isocractic Dionex DX-120 incorporating an IonPac AS14 anion exchange column and a 25 microL sample loop with conductivity detector. Mobile phase consisted sodium carbonate/bicarbonate (3.5 mM/1 mM) at a flow rate of 1.5 mL/min). Method selectivity and sensitivity has been critically evaluated. The technique covers the range 15 microM-3.5 mM PSH with a detection limit of 9 microM PSH and analysis time of 5 min. The efficacy of the approach for the analysis of human plasma from five volunteers was assessed (ranging from 49 to 72 microM with an intra assay variation of less than 5% in all cases). The responses were validated through comparison with the standard Ellman colorimetric technique.     

How strategy environment and wealth shape altruistic behaviour: cooperation rules affecting wealth distribution in dynamic networks

Societies rely on individual contributions to sustain public goods that benefit the entire community. Several mechanisms, that specify how individuals change their decisions based on past experiences, have been proposed to explain how altruists are not outcompeted by selfish counterparts. A key aspect of such strategy updates involves a comparison of an individual''s latest payoff with that of a random neighbour. In reality, both the economic and social milieu often shapes cooperative behaviour. We propose a new decision heuristic, where the propensity of an individual to cooperate depends on the local strategy environment in which she is embedded as well as her wealth relative to that of her neighbours. Our decision-making model allows cooperation to be sustained and also explains the results of recent experiments on social dilemmas in dynamic networks. Final cooperation levels depend only on the extent to which the strategy environment influences altruistic behaviour but are largely unaffected by network restructuring. However, the extent of wealth inequality in the community is affected by a subtle interplay between the environmental influence on a person''s decision to contribute and the likelihood of reshaping social ties, with wealth-inequality levels rising with increasing likelihood of network restructuring in some situations.