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| 1 | Surface energy-mediated fibronectin adsorption and osteoblast responses on nanostructured diamond显示文摘Nanostructured diamond have potential applications in many biomedical related fields and demonstrated extraordinary capacity to influence cellular responses. Studying the surface property of nanodiamond and its influence to protein adsorption and subsequent cellular responses along with the mechanism behind such capacity becomes more important. Here the role of surface energy associated with nanostructured diamond in modulating fibronectin and osteoblast(OB, bone forming cells) responses was investigated. Nanocrystalline diamond(NCD) and submicron crystalline diamond(SMCD) films with controllable surface energy were prepared by microwave-enhanced plasma chemical vapor deposition(MPCVD) techniques. Fibronectin adsorption on the diamond films with varied surface energy values was measured via the enzyme-linked immunosorbent assay(ELISA) and the relationship between the surface energy and fibronectin adsorption was studied. The result indicated that fibronectin adsorption on nanostructured surfaces was closely related to both surface energy and material microstructures. The spreading and migration of OB aggregates(each containing 30–50 cells) on the NCD with varied surface energy values were also studied. The result indicates a correlation between the cell spreading and migration on nanodiamond and the surface energy of nanostructured surface. | Yixing Tian Huiling Liu Brian W.Sheldon Thomas J.Webster Sichen Yang Huilin Yang Lei Yang | 2019 | Journal of Materials Science & Technology2019，35，5： | 1 |
| 2 | Computational methods for identifying enhancer-promoter interactions显示文摘Background:As parts of the cis-regulatory mechanism of the human genome,interactions between distal enhancers and proximal promoters play a crucial role.Enhancers,promoters,and enhancer-promoter interactions(EPIs)can be detected using many sequencing technologies and computation models.However,a systematic review that summarizes these EPI identification methods and that can help researchers apply and optimize them is still needed.Results:In this review,we first emphasize the role of EPIs in regulating gene expression and describe a generic framework for predicting enhancer-promoter interaction.Next,we review prediction methods for enhancers,promoters,loops,and enhancer-promoter interactions using different data features that have emerged since 2010,and we summarize the websites available for obtaining enhancers,promoters,and enhancer-promoter interaction datasets.Finally,we review the application of the methods for identifying EPIs in diseases such as cancer.Conclusions:The advance of computer technology has allowed traditional machine learning,and deep learning methods to be used to predict enhancer,promoter,and EPIs from genetic,genomic,and epigenomic features.In the past decade,models based on deep learning,especially transfer learning,have been proposed for directly predicting enhancer-promoter interactions from DNA sequences,and these models can reduce the parameter training time required of bioinformatics researchers.We believe this review can provide detailed research frameworks for researchers who are beginning to study enhancers,promoters,and their interactions. | Haiyan Gong Zhengyuan Chen Yuxin Tang Minghong Li Sichen Zhang Xiaotong Zhang Yang Chen | 2023 | Quantitative Biology2023，11，2： | 0 |
| 3 | Fabrication of 3D hollow acorn-shell-like PtBi intermetallics via a surfactant-free pathway for efficient ethylene glycol electrooxidation显示文摘The synthesis of atomically ordered Pt-based intermetallic electrocatalysts for the direct alcohol fuel cells generally requires the addition of surfactants or the high-temperature annealing.However,some residual surfactants on the surface of the assynthesized catalysts would prevent the exposure of catalytic active sites,the high-temperature annealing process is easy to accelerate the sintering of the metal,which both lead to the decline of electrocatalytic performance.Herein,we construct the atomically ordered bimetallic PtBi intermetallics with clean surfaces and unique three-dimensional hollow acorn-shell-like structure(3D PtBi HASL)by a simple,low-temperature,surfactant-free one-pot synthetic approach.Benefiting from the special hollow structures,the obtained 3D PtBi HASL intermetallics expose abundant accessible active sites.Moreover,the introduction of oxophilic metal Bi can enhance adsorption of OHads,thereby significantly facilitating removal of poisoned intermediates.Density functional theory(DFT)simulations further indicate that formation of the PtBi intermetallic phase with the downshift of the Pt d-band center endows 3D Pt49.4Bi50.6 HASL intermetallics with significantly attenuated COads and enhanced OHads adsorption,bringing about the boosting electrocatalytic property.The mass activity of the 3D Pt49.4Bi50.6 HASL intermetallics for ethylene glycol oxidation reaction is as high as 24.67 A·mgPt^(−1),which is 12.98 times higher than that of commercial Pt/C(1.90 A·mgPt^(−1)).This work may inspire the design of Pt-based intermetallics as high-efficiency anode electrocatalysts for fuel cell applications. | Tingting Wan Xin Huang Sichen Li Qiuyu Li Xianlong Yang Zhenjie Sun Dong Xiang Kun Wang Peng Li Manzhou Zhu | 2023 | Nano Research2023，16，5： | 0 |
| 4 | Anomalous Thermopower and High ZT in GeMnTe2 Driven by Spin’s Thermodynamic Entropy显示文摘NaxCoO_(2)was known 20 years ago as a unique example in which spin entropy dominates the thermoelectric behavior.Hitherto,however,little has been learned about how to manipulate the spin degree of freedom in thermoelectrics.Here,we report the enhanced thermoelectric performance of GeMnTe_(2)by controlling the spin’s thermodynamic entropy.The anomalously large thermopower of GeMnTe_(2)is demonstrated to originate from the disordering of spin orientation under finite temperature.Based on the careful analysis of Heisenberg model,it is indicated that the spin-system entropy can be tuned by modifying the hybridization between Te-p and Mn-d orbitals.As a consequent strategy,Se doping enlarges the thermopower effectively,while neither carrier concentration nor band gap is affected.The measurement of magnetic susceptibility provides a solid evidence for the inherent relationship between the spin’s thermodynamic entropy and thermopower.By further introducing Bi doing,the maximum ZT in Ge_(0.94)Bi_(0.06)MnTe_(1.94)Se_(0.06)reaches 1.4 at 840 K,which is 45%higher than the previous report of Bi-doped GeMnTe_(2).This work reveals the high thermoelectric performance of GeMnTe_(2)and also provides an insightful understanding of the spin degree of freedom in thermoelectrics. | Sichen Duan Yinong Yin Guo-Qiang Liu Na Man Jianfeng Cai Xiaojian Tan Kai Guo Xinxin Yang Jun Jiang | 2021 | Research2021，，1： | 0 |
| 5 | Solvent Effects on Kinetics and Electrochemical Performances of Rechargeable Aluminum Batteries显示文摘The rechargeable aluminum batteries(RAB)have shown great potential for energy storage applications due to their low-cost and superior volumetric capacity.However,the battery performances are far from satisfactory owing to the poor kinetics of electrode reactions,including the solid-state ionic diffusion and interfacial charge transfer.The charge transfer reaction,typically the cation desolvation at the interface(Helmholtz plane),is crucial for determining the interfacial charge transfer,which induces the solvent effect in batteries but has not been explored in RABs.Herein,we provide a comprehensive understanding of solvent effects on interface kinetics and electrochemical performance of RAB by analyzing the desolvation process and charge transfer energy barrier.The pivotal role of solvent effects is confirmed by the successful application of Al(OTF)_(3)-H_(2)O electrolyte,which displays easy desolvation,low charge transfer resistance,and thus superior Al-ion storage performance over other electrolytes in our studies.In addition,based on the strong correlation between the calculated desolvation energy and charge transfer energy barrier,the calculation of dissociation energy of ion-solvent complex is demonstrated as an efficient index for designing electrolytes.The in-depth understanding of solvent effects provides rational guidance for new electrolyte and RAB design. | Sichen Gu Yang Haoyi Yanxia Yuan Yaning Gao Na Zhu Feng Wu Ying Bai Chuan Wu | 2022 | Energy Material Advances2022，，1： | 0 |
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