Superconductivity and phase transitions in Kagome compound Pd3P2S8from first-principles calculation.

Pd3P2S8is a semiconductor that contains Kagome lattices, which exhibits various physical phenomena. Structural searches of Pd3P2S8in the pressure range from 0 to 120 GPa have revealed two phases of the space groupP3‾m1(designated asP3‾m1-1 andP3‾m1-2) and two phases of the space groupC2/m(designated asC2/m-1 andC2/m-2), with all butC2/m-2 phase being dynamically stable. Electron-phonon calculations combined with Bardeen-Cooper-Schrieffer's argument have shown that both phases are superconductors. Notably, theP3‾m1-1 phase undergoes a semiconductor-to-superconductor transition, with superconducting critical temperature (Tc) increasing up to a maximum of 9.13 K at 70 GPa. BothC2/m-1 andP3‾m1-2 phases exhibit superconductivity at 0 GPa. Our calculations demonstrate several new superconducting phases of Pd3P2S8, providing a pathway and platform for exploring superconductivity in materials with Kagome lattices and expanding the options for studying such lattices.

Superconductivity in CeBeH8and CeBH8at moderate pressures.

High-pressure structural searches of superhydrides CeBeH8and CeBH8were performed under ambient pressure up to 300 GPa. We identifyFm3‾m-CeBeH8with a superconducting transition temperatureTcof 56 K at 10 GPa. Two more phases with spacegroupR3‾mandC2/m, were investigated within the increasing pressures. CeBH8shows a similar phase transition process as CeBeH8but with higher transition pressures and higherTc.Fm3‾m-CeBH8is predicted to be superconducting above 120 GPa with a maximumTcof 118 K at 150 GPa.R3‾m-CeBH8andC2/m-CeBH8are dynamically stable above 120 GPa and 100 GPa, respectively. The maximumTcis 123 K at 195 GPa forR3‾m-CeBH8, and 115 K at 350 GPa forC2/m-CeBH8. Our work enriches the family of ternary hydrides and may provide a useful guideline for further search for superconducting hydrides at low and moderate pressures.

DeepIDA: Predicting Isoform-Disease Associations by Data Fusion and Deep Neural Networks.

Alternative splicing produces different isoforms from the same gene locus, it is an important mechanism for regulating gene expression and proteome diversity. Although the prediction of gene(ncRNA)-disease associations has been extensively studied, few (or no) computational solutions have been proposed for the prediction of isoform-disease association (IDA) at a large scale, mainly due to the lack of disease annotations of isoforms. However, increasing evidences confirm the associations between diseases and isoforms, which can more precisely uncover the pathology of complex diseases. Therefore, it is highly desirable to predict IDAs. To bridge this gap, we propose a deep neural network based solution (DeepIDA) to fuse multi-type genomics and transcriptomics data to predict IDAs. Particularly, DeepIDA uses gene-isoform relations to dispatch gene-disease associations to isoforms. In addition, it utilizes two DNN sub-networks with different structures to capture nucleotide and expression features of isoforms, Gene Ontology data and miRNA target data, respectively. After that, these two sub-networks are merged in a dense layer to predict IDAs. The experimental results on public datasets show that DeepIDA can effectively predict IDAs with AUPRC (area under the precision-recall curve) of 0.9141, macro F-measure of 0.9155, G-mean of 0.9278 and balanced accuracy of 0.9303 across 732 diseases, which are much higher than those of competitive methods. Further study on sixteen isoform-disease association cases again corroborates the superiority of DeepIDA. The code of DeepIDA is available at http://mlda.swu.edu.cn/codes.php?name=DeepIDA.

Hyaluronic acid-modified cationic niosomes for ocular gene delivery: improving transfection efficiency in retinal pigment epithelium.

OBJECTIVES: Recent years, gene therapy to treat retinal diseases has been paid much attention. The key to successful therapy is utilizing smart delivery system to achieve efficient gene delivery and transfection. In this study, hyaluronic acid (HA) modified cationic niosomes (HA-C-niosomes) have been designed in order to achieve retinal pigment epithelium (RPE) cells targeted gene delivery and efficient gene transfection. METHODS: Cationic niosomes composed of tween 80/squalene/1, 2-dioleoyl-3-trimethylammonium-propane (DOTAP) were prepared by the ethanol injection method. After that, HA-DOPE was further added into cationic niosomes to form HA-C-niosomes. Cellular uptake and transfection have been investigated in ARPE-19 cells. In vivo pEGFP transfection efficiency was evaluated in rats. KEY FINDINGS: Twenty percentage HA-C-niosomes were about 180 nm, with -30 mV, and showing spherical shape in TEM. 2 times higher transfection efficiency was found in the group of HA-C-niosomes with 20% HA modification. No toxicity was found in niosome preparations. In vivo evaluation in Sprague Dawley (SD) rats revealed that HA-C-niosomes could specifically target to the retina layer. In the group of pEGFP-loaded HA-C-niosomes, 6-6.5 times higher gene transfection has been achieved, compared with naked pEGFP. CONCLUSIONS: Hyaluronic acid-C-niosomes might provide a promising gene delivery system for successful retinal gene therapy.