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| 1 | Tough and tunable adhesion of hydrogels:experiments and models显示文摘As polymer networks infiltrated with water, hydrogels are major constituents of animal and plant bodies and have diverse engineering applications. While natural hydrogels can robustly adhere to other biological materials, such as bonding of tendons and cartilage on bones and adhesive plaques of mussels, it is challenging to achieve such tough adhesions between synthetic hydrogels and engineering materials. Recent experiments show that chemically anchoring long-chain polymer networks of tough synthetic hydrogels on solid surfaces create adhesions tougher than their natural counterparts, but the underlying mechanism has not been well understood. It is also challenging to tune systematically the adhesion of hydrogels on solids. Here, we provide a quantitative understanding of the mechanism for tough adhesions of hydrogels on solid materials via a combination of experiments, theory, and numerical simulations.Using a coupled cohesive-zone and Mullins-effect model validated by experiments, we reveal the interplays of intrinsic work of adhesion, interfacial strength, and energy dissipation in bulk hydrogels in order to achieve tough adhesions. We further show that hydrogel adhesion can be systematically tuned by tailoring the hydrogel geometry and silanization time of solid substrates, corresponding to the control of energy dissipation zone and intrinsic work of adhesion, respectively.The current work further provides a theoretical foundation for rational design of future biocompatible and underwater adhesives. | Teng Zhang Hyunwoo Yuk Shaoting Lin German A.Parada Xuanhe Zhao | 2017 | Acta Mechanica Sinica2017，33，3： | 6 |
| 2 | A comprehensive analysis of the Bencao(herbal)small RNA Atlas reveals novel RNA therapeutics for treating human diseases显示文摘Cross-kingdom herbal mi RNA was first reported in 2012.Using a modified herbal extraction protocol,we obtained 73,677,287sequences by RNA-seq from 245 traditional Chinese Medicine(TCM),of which 20,758,257 were unique sequences.We constructed a Bencao(herbal)small RNA(s RNA)Atlas(http://gffzz4a3adbfa122d4a47huuxw0w6ckxob66vn.ffgz.tsg.suse.edu.cn),annotated the sequences by sequence-based clustering,and created a nomenclature system for Bencao s RNAs.The profiles of 21,757 mi RNAs in the Atlas were highly consistent with those of plant mi RNAs in mi RBase.Using software tools,our results demonstrated that all human genes might be regulated by s RNAs from the Bencao s RNA Atlas,part of the predicted human target genes were experimentally validated,suggesting that Bencao s RNAs might be one of the main bioactive components of herbal medicines.We established roadmaps for oligonucleotide drugs development and optimization of TCM prescriptions.Moreover,the decoctosome,a lipo-nano particle consisting of 0.5%–2.5%of the decoction,demonstrated potent medical effects.We propose a Bencao(herbal)Index,including small-molecule compounds(SM),protein peptides(P),nucleic acid(N),non-nucleic and non-proteinogenic large-molecule compounds(LM)and elements from Mendeleev's periodic table(E),to quantitatively measure the medical effects of botanic medicine.The Bencao s RNA Atlas is a resource for developing gene-targeting oligonucleotide drugs and optimizing botanical medicine,and may provide potential remedies for the theory and practice of one medicine. | Yinghao Cao Yexuan Lin Na Sun Xinyi Du Yixin Dong Song Mei Xingyu Deng Xiaobei Li Shaoting Guo Kegong Tang Jiaqi Liu Xiangyu Qiao Dandan Zhao Yuhao Qin Cong Zhang Tianyi Xin Xiaohu Shi Congzhao Zhou Tao Dong De-an Guo Benedikt MKessler Dong Xu Jingyuan Song Fengming Huang Xiaoyue Wang Chengyu Jiang | 2023 | Science China(Life Sciences)2023，66，10： | 2 |
| 3 | Temporal Spectral Residual for Fast Salient Motion Detection显示文摘 | Cui Xinyi Liu Qingshan Zhang Shaoting | | 0，，： | 1 |
| 4 | Efficient MR image reconstruction for compressed MR imaging 显示文摘 | Huang Junzhou Zhang Shaoting Metaxas D | 2011 | Medical Image Analysis2011，15，5： | 1 |
| 5 | Composite splitting algorithms for convex optimization显示文摘 | Huang Junzhou Zhang Shaoting Li Hongsheng el al | 2011 | Computer Vision and Image Un derstanding2011，115，12： | 1 |
| 6 | Towards robust and effective shape modeling: Sparse shape composition显示文摘 | Shaoting Zhang Yiqiang Zhan Maneesh Dewan Junzhou Huang Dimitris N. Metaxas Xiang Sean Zhou | 2011 | Medical Image Analysis2011，，1： | 1 |
| 7 | Comparisonof fermentation characteristics of Italian ryegrass andguineagrass during the early stage of ensiling 显示文摘 | ShaoT Zhang Z X Shimojo M | 2005 | Asian - Australasian Journal of Animal Science2005，18，12： | 1 |
| 8 | Au- tomatic image annotation and retrieval using group sparsi- ty显示文摘 | Zhang Shaoting Huang Junzhou Li Hongsheng | 2012 | IEEE Transactions on Systems Man and Cybernet- ies--Part B :Cyberneties2012，42，3： | 1 |
| 9 | Robust mesh editing using Laplacian coordinates 显示文摘 | Zhang Shaoting Huang Junzhou Metaxas D N | 2011 | Graphics Models2011，73，1： | 1 |
| 10 | Aromaticity Concerto in Polycyclic Conjugated Hydrocarbons:Fusion Pattern on Combined Aromaticity Strategy Leads to Distinctive Excited State Photophysics of Dinaphthopentalenes显示文摘Understanding the structure-property relationships in polycyclic conjugated hydrocarbons(PCHs)is crucial in controlling their electronic properties and developing new optically functional materials.Aromaticity is a fundamentally important and intriguing property of numerous organic chemical structures and has stimulated a myriad of experimental and theoretical investigations.Exploiting aromaticity rules for the rational design of optoelectronic materials with the desired photophysical characteristics is a challenging yet fascinating task.Herein we present an in-depth computational and spectroscopic study on the structure-property relationships of dinaphthopentalenes(DNPs).Results highlight that the different fusion patterns between 4nπand 4n+2πunits endow these PCHs with the tunable aromaticity in the ground state/excited state,which leads to the diverse electronic structures and consequently the distinctive excited state photophysics.Accordingly,we propose a combined aromaticity design strategy for rationally modulating and tailoring electronic and optical properties of PCH skeletons.These outcomes not only present a full picture of the excited state dynamics of the DNP system and afford a new class of efficient singlet fission-active materials but also provide some basic guidelines for exploiting aromaticity rules to design and develop new optical function materials. | Long Wang Lu Lin Teng-Shuo Zhang Shaoting Guo Zuyuan Liu Mengfan Zhang Senhao Wang Ganglong Cui Wei-Hai Fang Jun Zhu Hongbing Fu Jiannian Yao | 2023 | CCS Chemistry2023，5，10： | 0 |
| 11 | PI3 kinase isoform p110δis more important than p110αin KIT signaling in hematopoietic cells显示文摘PI3 kinases are important for KIT signaling and KIT mutants mediated cell transformation.In order to know the difference of PI3 kinase isoforms p110αand p110δin the signaling of wild-type KIT and the often occurred KIT mutation D816V in hematopoietic malignancy mastocytosis,the predominant PI3 kinase isoform p110δin hematopoietic tissues was knocked out in hematopoietic cells.We found that loss of p110δexpression dramatically inhibits PI3 kinase activation mediated by both wild-type KIT and KIT/D816V.By over expression of p110αin p110δknock out cells,wild-type KIT mediated PI3 kinase activation was not changed while over expression of p110δincreased PI3 kinase activation.Similarly,in KIT/D816V expressing cells without p110δexpression,over expression of p110δbut not p110αrestored PI3 kinase activation.In agreement with the signaling results,cell proliferation,cell survival and cell cycle assay further showed that over expression of p110δbut not p110αin p110δknock out cells increases both wild-type KIT and KIT/D816V mediated cell survival and proliferation.These results suggested that p110δplays a more important role than p110αin KIT signaling and KIT mutant mediated cell transformation in hematopoietic cells. | LIANGYING ZHANG SHAOTING ZHANG ZHAOYANG FAN ZONGYING JIANG ANBU LIU SHUJING LI JIANMIN SUN | 2022 | BIOCELL2022，46，9： | 0 |
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